Predictive Models of Pregnancy Based on Male Partner Data From a Preconception Cohort Study.

Authors: Talaei M; Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, Massachusetts, USA.; Department of Electrical and Computer Engineering, and Division of Systems Engineering, Boston University, Boston, Massachusetts, USA., Yland JJ; Optum Epidemiology, Boston, Massachusetts, USA.; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA., Zad Z; Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, Massachusetts, USA.; Department of Electrical and Computer Engineering, and Division of Systems Engineering, Boston University, Boston, Massachusetts, USA., Koenig M; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA., Wesselink AK; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA., Eisenberg ML; Department of Urology, Stanford University, Stanford, California, USA., Wise LA; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA., Paschalidis IC; Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, Massachusetts, USA.; Department of Electrical and Computer Engineering, and Division of Systems Engineering, Boston University, Boston, Massachusetts, USA.; Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.

Source: Andrology [Andrology] 2026 Aug 27. Date of Electronic Publication: 2026 Aug 27.

Publication Type: Journal Article

Journal Info: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 101585129 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2047-2927 (Electronic) Linking ISSN: 20472919 NLM ISO Abbreviation: Andrology Subsets: MEDLINE

The myth of digital biomarkers in Alzheimer's disease: how to make them a reality.

Authors: Au R; Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine.; Departments of Neurology, Medicine, and Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine School of Medicine.; Department of Epidemiology, Boston University School of Public Health., Gifford KA; Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine., Paschalidis IC; College of Engineering, Faculty of Computing & Data Sciences, and Hariri Institute for Computing, Boston University., Wighton P; Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts., Levin M; Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine., Imam F; Gates Ventures.; Global Research Platforms, LLC, Kirkland, Washington, USA., Bose N; Gates Ventures.; Global Research Platforms, LLC, Kirkland, Washington, USA., Pratap A; Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine.

Source: Current opinion in psychiatry [Curr Opin Psychiatry] 2026 Jul 01; Vol. 39 (4), pp. 331-338. Date of Electronic Publication: 2026 Apr 29.

Publication Type: Journal Article; Review

Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 8809880 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1473-6578 (Electronic) Linking ISSN: 09517367 NLM ISO Abbreviation: Curr Opin Psychiatry Subsets: MEDLINE

MeSH Terms: Alzheimer Disease*/diagnosis , Biomarkers*/blood , Digital Technology*, Humans ; Digital Health ; United States ; United States Food and Drug Administration

Resource-stratified machine learning framework for cognitive status classification and mild cognitive impairment to dementia progression prediction.

Authors: Yang J; Department of Electrical & Computer Engineering, Division of Systems Engineering, Department of Biomedical Engineering, Boston University, 8 St. Mary's St, Boston, MA, 02215, USA., Ding H; Department of Anatomy & Neurobiology and Framingham Heart Study, Chobanian & Avedisian School of Medicine, Boston University, 72 E Concord St, Boston, MA, 02118, USA., Amini S; Department of Electrical & Computer Engineering, Division of Systems Engineering, Department of Biomedical Engineering, Boston University, 8 St. Mary's St, Boston, MA, 02215, USA., Hao B; Department of Electrical & Computer Engineering, Division of Systems Engineering, Department of Biomedical Engineering, Boston University, 8 St. Mary's St, Boston, MA, 02215, USA., Karjadi C; Department of Anatomy & Neurobiology and Framingham Heart Study, Chobanian & Avedisian School of Medicine, Boston University, 72 E Concord St, Boston, MA, 02118, USA., Au R; Department of Anatomy & Neurobiology and Framingham Heart Study, Chobanian & Avedisian School of Medicine, Boston University, 72 E Concord St, Boston, MA, 02118, USA.; Department of Neurology and Medicine, Chobanian & Avedisian School of Medicine, Boston University, 72 E Concord St, Boston, MA, 02118, USA.; Department of Epidemiology, School of Public Health, Boston University, 72 E Concord St, Boston, MA, 02118, USA., Paschalidis IC; Department of Electrical & Computer Engineering, Division of Systems Engineering, Department of Biomedical Engineering, Boston University, 8 St. Mary's St, Boston, MA, 02215, USA. yannisp@bu.edu.; Faculty of Computing & Data Sciences, Boston University, 665 Commonwealth Ave, Boston, MA, 02215, USA. yannisp@bu.edu.

Source: Alzheimer's research & therapy [Alzheimers Res Ther] 2026 Mar 07; Vol. 18 (1). Date of Electronic Publication: 2026 Mar 07.

Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.

Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 101511643 Publication Model: Electronic Cited Medium: Internet ISSN: 1758-9193 (Electronic) NLM ISO Abbreviation: Alzheimers Res Ther Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/diagnosis , Cognitive Dysfunction*/classification , Dementia*/diagnosis , Dementia*/classification , Disease Progression* , Machine Learning*, Humans ; Female ; Male ; Aged ; Predictive Learning Models ; Neuropsychological Tests ; Classification Algorithms ; Prognosis ; Aged, 80 and over ; Boosting Machine Learning Algorithms ; Prediction Algorithms

A BEACON for Novel Disease Threats: Leveraging Artificial Intelligence for Informal Event-Based Outbreak Surveillance.

Authors: Bhadelia N; Center on Emerging Infectious Diseases, Boston University, Boston, Massachusetts, USA.; Section of Infectious Diseases, Boston University Avedisian and Chobanian School of Medicine, Boston, Massachusetts, USA., Paschalidis IC; Boston University College of Engineering, Boston, Massachusetts, USA.; Hariri Institute for Computing, Boston University, Boston, Massachusetts, USA., Brownstein JS; Innovation and Digital Health Accelerator, Boston Children's Hospital, Boston, Massachusetts, USA.; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA., Lassman B; Center on Emerging Infectious Diseases, Boston University, Boston, Massachusetts, USA.; Section of Infectious Diseases, Boston University Avedisian and Chobanian School of Medicine, Boston, Massachusetts, USA.

Source: The Journal of infectious diseases [J Infect Dis] 2026 Feb 18; Vol. 233 (2), pp. e287-e289.

Publication Type: Journal Article

Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 0413675 Publication Model: Print Cited Medium: Internet ISSN: 1537-6613 (Electronic) Linking ISSN: 00221899 NLM ISO Abbreviation: J Infect Dis Subsets: MEDLINE

MeSH Terms: Disease Outbreaks*/prevention & control , Artificial Intelligence* , Epidemiological Monitoring*, Humans

Network-Based Epidemic Control Through Optimal Travel and Quarantine Management.

Authors: Talaei M; Department of Electrical and Computer Engineering, and the Division of Systems Engineering, Boston University, Boston, MA, USA., Rikos AI; Department of Electrical and Computer Engineering, and the Division of Systems Engineering, Boston University, Boston, MA, USA., Olshevsky A; Department of Electrical and Computer Engineering, and the Division of Systems Engineering, Boston University, Boston, MA, USA., White LF; School of Public Health, Boston University, Boston, MA, USA., Paschalidis IC; Department of Electrical and Computer Engineering, and the Division of Systems Engineering, Boston University, Boston, MA, USA.; Department of Biomedical Engineering and the Faculty for Computing & Data Sciences, Boston University, Boston, MA, USA.

Source: IEEE transactions on control of network systems [IEEE Trans Control Netw Syst] 2025 Dec; Vol. 12 (4), pp. 2726-2738. Date of Electronic Publication: 2025 Jul 18.

Publication Type: Journal Article

Journal Info: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101721948 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2325-5870 (Electronic) Linking ISSN: 23255870 NLM ISO Abbreviation: IEEE Trans Control Netw Syst Subsets: PubMed not MEDLINE

Accounting for racial bias and social determinants of health in a model of hypertension control.

Authors: Hu Y; Department of Electrical and Computer Engineering, Department of Biomedical Engineering, Division of Systems Engineering, and Faculty of Computing & Data Sciences, Boston University, 8 Saint Mary's St., Boston, MA, 02215, USA., Cordella N; Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA., Mishuris RG; Mass General Brigham and Harvard Medical School, Boston, MA, USA., Paschalidis IC; Department of Electrical and Computer Engineering, Department of Biomedical Engineering, Division of Systems Engineering, and Faculty of Computing & Data Sciences, Boston University, 8 Saint Mary's St., Boston, MA, 02215, USA. yannisp@bu.edu.

Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Feb 03; Vol. 25 (1), pp. 53. Date of Electronic Publication: 2025 Feb 03.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE

MeSH Terms: Hypertension*/ethnology , Hypertension*/therapy , Social Determinants of Health*/statistics & numerical data , Social Determinants of Health*/ethnology , Racism*/statistics & numerical data, Black or African American/statistics & numerical data ; Humans ; Female ; Middle Aged ; Male ; Retrospective Studies ; Aged ; Adult ; Boston ; White

Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse.

Authors: Queeney J; Mitsubishi Electric Research Laboratories, Cambridge, MA 02139 USA. He performed the majority of this work while with the Division of Systems Engineering, Boston University, Boston, MA 02215 USA., Paschalidis IC; Department of Electrical and Computer Engineering and Division of Systems Engineering, Boston University, Boston, MA 02215 USA., Cassandras CG; Department of Electrical and Computer Engineering and Division of Systems Engineering, Boston University, Boston, MA 02215 USA.

Source: IEEE transactions on automatic control [IEEE Trans Automat Contr] 2025 Feb; Vol. 70 (2), pp. 1236-1243. Date of Electronic Publication: 2024 Sep 03.

Publication Type: Journal Article

Journal Info: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101210419 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0018-9286 (Print) Linking ISSN: 00189286 NLM ISO Abbreviation: IEEE Trans Automat Contr Subsets: PubMed not MEDLINE

Environment scan of generative AI infrastructure for clinical and translational science.

Authors: Idnay B; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY USA., Xu Z; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY USA., Adams WG; Department of Pediatrics, Boston Medical Center, Boston, MA, USA; Chobanian & Avedisian School of Medicine, Boston University, Boston, MA USA., Adibuzzaman M; Oregon Clinical and Translational Research Institute, Oregon Health and Science University, Portland, OR USA., Anderson NR; Department of Public Health Sciences, University of California, Davis, Davis, CA USA., Bahroos N; Keck School of Medicine, University of Southern California, Los Angeles, CA USA., Bell DS; Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA USA., Bumgardner C; Department of Pathology and Laboratory Medicine, University of Kentucky College of Medicine, Lexington, KY USA., Campion T; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY USA.; Clinical and Translational Science Center, Weill Cornell Medicine, New York, NY USA., Castro M; Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, KS USA., Cimino JJ; Department of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama, Birmingham, AL USA., Cohen IG; Harvard Law School, Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics, Harvard University, Cambridge, MA USA., Dorr D; Oregon Clinical and Translational Research Institute, Oregon Health and Science University, Portland, OR USA., Elkin PL; Department of Biomedical Informatics, University at Buffalo, Buffalo, NY USA., Fan JW; Center for Clinical and Translational Science, Mayo Clinic, Rochester, MN USA., Ferris T; Technology and Digital Solutions, Stanford Medicine, Stanford University, Stanford, CA USA., Foran DJ; Center for Biomedical Informatics, Rutgers Cancer Institute, New Brunswick, NJ USA., Hanauer D; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI USA., Hogarth M; Altman Clinical and Translational Research Institute (ACTRI), University of California San Diego, La Jolla, CA USA., Huang K; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN USA., Kalpathy-Cramer J; Department of Ophthalmology, CCTSI, University of Colorado, Aurora, CO USA., Kandpal M; Center for Clinical and Translational Science, Rockefeller University Hospital, Rockefeller University, New York, NY USA., Karnik NS; AI.Health4All Center, Center for Clinical & Translational Science, and Department of Psychiatry, University of Illinois Chicago, Chicago, IL USA., Katoch A; Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA USA.; Penn State Clinical and Translational Science Institute, Hershey, USA., Lai AM; Department of Medicine, Washington University School of Medicine, St. Louis, MO USA., Lambert CG; Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM USA., Li L; Department of Biomedical Informatics, The Ohio State University, Columbus, OH USA., Lindsell C; Duke Clinical Research Institute, Duke University, Durham, NC USA., Liu J; Department of Population Health, Virginia Commonwealth University, Richmond, VA USA., Lu Z; Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD USA., Luo Y; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL USA., McGarvey P; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC USA., Mendonca EA; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH USA., Mirhaji P; Institute for Clinical Translational Research, Albert Einstein College of Medicine, New York, NY USA., Murphy S; Department of Neurology, Mass General Brigham, Somerville, MA USA., Osborne JD; Department of Medicine, University of Alabama, Birmingham, AL USA., Paschalidis IC; College of Engineering and Faculty of Computing & Data Sciences, Boston University, Boston, MA USA., Harris PA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN USA., Prior F; Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR USA., Shaheen NJ; Division of Gastroenterology and Hepatology, University of North Carolina School of Medicine, Chapel Hill, North Carolina USA., Shara N; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC USA., Sim I; Department of Medicine, University of California, San Francisco, San Francisco, CA USA., Tachinardi U; Department of Biostatistics, Health Informatics and Data Sciences, University of Cincinnati College of Medicine, Cincinnati, OH USA., Waitman LR; Department of Biomedical Informatics, Biostatistics, and Medical Epidemiology, School of Medicine, University of Missouri, Columbia, MO USA., Wright RJ; Department of Public Health, Icahn School of Medicine at Mount Sinai, New York, NY USA., Zai AH; Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, MA USA., Zheng K; Department of Informatics, University of California, Irvine, Irvine, CA USA., Lee SS; Department of Medical Humanities and Ethics, Columbia University, New York, NY USA., Malin BA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN USA., Natarajan K; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY USA., Price Ii WN; Michigan Law School, University of Michigan, Ann Arbor, MI USA., Zhang R; Division of Computational Health Sciences, Medical School, University of Minnesota, Minneapolis, MN USA., Zhang Y; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY USA., Xu H; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, CT USA., Bian J; Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL USA.; Present Address: Biostatistics and Health Data Science, School of Medicine, Indiana University, IN, USA.; Present Address: Regenstrief Institute, Indianapolis, IN USA., Weng C; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY USA.; The Irving Institute for Clinical and Translational Research, Columbia University, New York, NY USA., Peng Y; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY USA.; Clinical and Translational Science Center, Weill Cornell Medicine, New York, NY USA.

Source: Npj health systems [Npj Health Syst] 2025; Vol. 2 (1), pp. 4. Date of Electronic Publication: 2025 Jan 25.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group UK Country of Publication: England NLM ID: 9918956761506676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 3005-1959 (Electronic) Linking ISSN: 30051959 NLM ISO Abbreviation: Npj Health Syst Subsets: PubMed not MEDLINE

Reply of the authors: Enhancing women's health management for predicting miscarriage risk: a call for broader inclusivity and holistic approaches.

Authors: Yland JJ; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts., Zad Z; Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, Massachusetts; Division of Systems Engineering, Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts., Paschalidis IC; Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, Massachusetts; Division of Systems Engineering, Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts; Department of Biomedical Engineering, Boston University, Boston, Massachusetts., Wise LA; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.

Source: Fertility and sterility [Fertil Steril] 2024 Dec; Vol. 122 (6), pp. 1161. Date of Electronic Publication: 2024 Aug 20.

Publication Type: Letter

Journal Info: Publisher: Elsevier for the American Society for Reproductive Medicine Country of Publication: United States NLM ID: 0372772 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1556-5653 (Electronic) Linking ISSN: 00150282 NLM ISO Abbreviation: Fertil Steril Subsets: MEDLINE; In Process

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science.

Authors: Idnay B; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA., Xu Z; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA., Adams WG; Department of Pediatrics, Boston Medical Center, Boston, MA, USA; Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA., Adibuzzaman M; Oregon Clinical and Translational Research Institute, Oregon Health and Science University, Portland, OR, USA., Anderson NR; Department of Public Health Sciences, University of California, Davis, Davis, CA, USA., Bahroos N; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA., Bell DS; Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA., Bumgardner C; Department of Pathology and Laboratory Medicine, University of Kentucky College of Medicine, Lexington, KY, USA., Campion T; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.; Clinical and Translational Science Center, Weill Cornell Medicine, New York, NY, USA., Castro M; Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, KS, USA., Cimino JJ; Department of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama, Birmingham, AL, USA., Cohen IG; Harvard Law School, Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics, Harvard University, Cambridge, MA, USA., Dorr D; Oregon Clinical and Translational Research Institute, Oregon Health and Science University, Portland, OR, USA., Elkin PL; Department of Biomedical Informatics, University at Buffalo, Buffalo, NY, USA., Fan JW; Center for Clinical and Translational Science, Mayo Clinic, Rochester, MN, USA., Ferris T; Technology and Digital Solutions, Stanford Medicine, Stanford University, Stanford, CA, USA., Foran DJ; Center for Biomedical Informatics, Rutgers Cancer Institute, New Brunswick, NJ, USA., Hanauer D; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA., Hogarth M; Altman Clinical and Translational Research Institute (ACTRI), University of California San Diego, La Jolla, CA, United States., Huang K; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA., Kalpathy-Cramer J; Division of Artificial Medical Intelligence in Ophthalmology, University of Colorado, Aurora, CO, USA., Kandpal M; Center for Clinical and Translational Science, Rockefeller University Hospital, Rockefeller University, New York, NY, USA., Karnik NS; AI.Health4All Center, Center for Clinical & Translational Science, and Department of Psychiatry, University of Illinois Chicago, Chicago, IL, USA., Katoch A; Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA., Lai AM; Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA., Lambert CG; Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA., Li L; Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA., Lindsell C; Duke Clinical Research Institute, Duke University, Durham, NC, USA., Liu J; Department of Population Health, Virginia Commonwealth University, Richmond, VA, USA., Lu Z; Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA., Luo Y; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA., McGarvey P; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, USA., Mendonca EA; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA., Mirhaji P; Institute for Clinical Translational Research, Albert Einstein College of Medicine, New York, NY, USA., Murphy S; Department of Neurology, Mass General Brigham, Somerville, MA, USA., Osborne JD; Department of Medicine, University of Alabama, Birmingham, AL, USA., Paschalidis IC; College of Engineering and Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA., Harris PA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA., Prior F; Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA., Shaheen NJ; Division of Gastroenterology and Hepatology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA., Shara N; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, USA., Sim I; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA., Tachinardi U; Department of Biostatistics, Health Informatics and Data Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA., Waitman LR; Department of Biomedical Informatics, Biostatistics, and Medical Epidemiology, School of Medicine, University of Missouri, Columbia, MO, USA., Wright RJ; Department of Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Zai AH; Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, MA, USA., Zheng K; Department of Informatics, University of California, Irvine, Irvine, CA, USA., Lee SS; Department of Medical Humanities and Ethics, Columbia University, New York, NY, USA., Malin BA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA., Natarajan K; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA., Price WN 2nd; Michigan Law School, University of Michigan, Ann Arbor, MI, USA., Zhang R; Division of Computational Health Sciences, Medical School, University of Minnesota, Minneapolis, MN, USA., Zhang Y; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA., Xu H; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, CT, USA., Bian J; Department of Neurology and McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL, USA., Weng C; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.; The Irving Institute for Clinical and Translational Research, Columbia University, New York, NY, USA., Peng Y; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.; Clinical and Translational Science Center, Weill Cornell Medicine, New York, NY, USA.

Source: ArXiv [ArXiv] 2024 Sep 28. Date of Electronic Publication: 2024 Sep 28.

Publication Type: Journal Article; Preprint

Journal Info: Country of Publication: United States NLM ID: 101759493 Publication Model: Electronic Cited Medium: Internet ISSN: 2331-8422 (Electronic) Linking ISSN: 23318422 NLM ISO Abbreviation: ArXiv Subsets: PubMed not MEDLINE

A GPT-based EHR modeling system for unsupervised novel disease detection.

Authors: Hao B; Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA., Hu Y; Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA., Adams WG; Department of Pediatrics, Boston Medical Center, Boston, MA, USA; Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA., Assoumou SA; Department of Medicine, Boston Medical Center, Boston, MA, USA; Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA., Hsu HE; Department of Pediatrics, Boston Medical Center, Boston, MA, USA; Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA., Bhadelia N; Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA; Center for Emerging Infectious Diseases Policy and Research, Boston University, Boston, MA, USA., Paschalidis IC; Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA; Department of Biomedical Engineering, Division of Systems Engineering, Faculty of Computing & Data Sciences, and Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, MA, USA. Electronic address: yannisp@bu.edu.

Source: Journal of biomedical informatics [J Biomed Inform] 2024 Sep; Vol. 157, pp. 104706. Date of Electronic Publication: 2024 Aug 08.

Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.

Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 100970413 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-0480 (Electronic) Linking ISSN: 15320464 NLM ISO Abbreviation: J Biomed Inform Subsets: MEDLINE

MeSH Terms: COVID-19*/epidemiology , COVID-19*/diagnosis , Electronic Health Records*, Massachusetts/epidemiology ; Hospitalization/statistics & numerical data ; Humans ; SARS-CoV-2 ; Artificial Intelligence ; ROC Curve ; Female ; Male ; Middle Aged ; Pandemics ; Algorithms

Automating biomedical literature review for rapid drug discovery: Leveraging GPT-4 to expedite pandemic response.

Authors: Yang J; Department of Electrical & Computer Engineering and Division of Systems Engineering, Boston University, Boston, MA, United States of America., Walker KC; Department of Biomedical Engineering, Boston University, Boston, MA, United States of America., Bekar-Cesaretli AA; Department of Chemistry, Boston University, Boston, MA, United States of America., Hao B; Department of Electrical & Computer Engineering and Division of Systems Engineering, Boston University, Boston, MA, United States of America., Bhadelia N; Chobanian & Avedisian School of Medicine and Center for Emerging Infectious Diseases Policy and Research, Boston University, Boston, MA, United States of America., Joseph-McCarthy D; Department of Biomedical Engineering, Boston University, Boston, MA, United States of America., Paschalidis IC; Department of Electrical & Computer Engineering and Division of Systems Engineering, Boston University, Boston, MA, United States of America; Department of Biomedical Engineering, Boston University, Boston, MA, United States of America; Faculty of Computing & Data Sciences, Boston University, Boston, MA, United States of America. Electronic address: yannisp@bu.edu.

Source: International journal of medical informatics [Int J Med Inform] 2024 Sep; Vol. 189, pp. 105500. Date of Electronic Publication: 2024 May 24.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural

Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE

MeSH Terms: Drug Discovery*/methods , COVID-19*/epidemiology , SARS-CoV-2* , Pandemics*, Antiviral Agents/therapeutic use ; Antiviral Agents/pharmacology ; Nipah Virus/drug effects ; Data Mining/methods ; Humans ; COVID-19 Drug Treatment ; PubMed

Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models.

Authors: Amini S; Department of Electrical & Computer Engineering, Division of Systems Engineering, and Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA., Hao B; Department of Electrical & Computer Engineering, Division of Systems Engineering, and Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA., Yang J; Department of Electrical & Computer Engineering, Division of Systems Engineering, and Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA., Karjadi C; Framingham Heart Study, Boston University, Framingham, Massachusetts, USA., Kolachalama VB; Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.; Faculty of Computing & Data Sciences, Boston University, Boston, Massachusetts, USA.; Department of Computer Science, Boston University, Boston, Massachusetts, USA., Au R; Framingham Heart Study, Boston University, Framingham, Massachusetts, USA.; Departments of Anatomy & Neurobiology, Neurology, and Epidemiology, Boston University School of Medicine and School of Public Health, Boston, Massachusetts, USA., Paschalidis IC; Department of Electrical & Computer Engineering, Division of Systems Engineering, and Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.; Faculty of Computing & Data Sciences, Boston University, Boston, Massachusetts, USA.

Source: Alzheimer's & dementia : the journal of the Alzheimer's Association [Alzheimers Dement] 2024 Aug; Vol. 20 (8), pp. 5262-5270. Date of Electronic Publication: 2024 Jun 25.

Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.

Journal Info: Publisher: John Wiley & Sons, Ltd Country of Publication: United States NLM ID: 101231978 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-5279 (Electronic) Linking ISSN: 15525260 NLM ISO Abbreviation: Alzheimers Dement Subsets: MEDLINE

MeSH Terms: Alzheimer Disease*/diagnosis , Cognitive Dysfunction*/diagnosis , Neuropsychological Tests*/statistics & numerical data , Disease Progression* , Speech* , Machine Learning*, Humans ; Female ; Male ; Aged ; Natural Language Processing ; Aged, 80 and over

Predictive models of miscarriage on the basis of data from a preconception cohort study.

Authors: Yland JJ; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts. Electronic address: yland@bu.edu., Zad Z; Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, Massachusetts; Division of Systems Engineering, Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts., Wang TR; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts., Wesselink AK; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts., Jiang T; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts., Hatch EE; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts., Paschalidis IC; Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, Massachusetts; Division of Systems Engineering, Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts; Department of Biomedical Engineering, Boston University, Boston, Massachusetts., Wise LA; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.

Source: Fertility and sterility [Fertil Steril] 2024 Jul; Vol. 122 (1), pp. 140-149. Date of Electronic Publication: 2024 Apr 10.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier for the American Society for Reproductive Medicine Country of Publication: United States NLM ID: 0372772 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1556-5653 (Electronic) Linking ISSN: 00150282 NLM ISO Abbreviation: Fertil Steril Subsets: MEDLINE

MeSH Terms: Abortion, Spontaneous*/epidemiology, United States/epidemiology ; Canada/epidemiology ; Humans ; Female ; Adult ; Pregnancy ; Prospective Studies ; Young Adult ; Middle Aged ; Risk Factors ; Risk Assessment ; Predictive Value of Tests ; Cohort Studies ; Male ; Self Report

Prediction of deep molecular response in chronic myeloid leukemia using supervised machine learning models.

Authors: Zad Z; Department of Electrical and Computer Engineering, Department of Biomedical Engineering, Division of Systems Engineering, Faculty of Computing & Data Sciences, and Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, MA, United States., Bonecker S; Brazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil., Wang T; Department of Electrical and Computer Engineering, Department of Biomedical Engineering, Division of Systems Engineering, Faculty of Computing & Data Sciences, and Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, MA, United States., Zalcberg I; Brazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil., Stelzer GT; Institute of Medical Biochemistry Leopoldo de Meis, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil., Sabioni B; Department of Hematology, Clementino Fraga Filho Univ Hospital, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil., Gutiyama LM; Brazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil., Fleck JL; Mines Saint-Etienne, Univ Clermont Auvergne, CNRS, UMR 6158 LIMOS, Centre CIS, Saint-Etienne, France., Paschalidis IC; Department of Electrical and Computer Engineering, Department of Biomedical Engineering, Division of Systems Engineering, Faculty of Computing & Data Sciences, and Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, MA, United States. Electronic address: yannisp@bu.edu.

Source: Leukemia research [Leuk Res] 2024 Jun; Vol. 141, pp. 107502. Date of Electronic Publication: 2024 Apr 15.

Publication Type: Letter; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.

Journal Info: Publisher: Pergamon Press Country of Publication: England NLM ID: 7706787 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5835 (Electronic) Linking ISSN: 01452126 NLM ISO Abbreviation: Leuk Res Subsets: MEDLINE

MeSH Terms: Leukemia, Myelogenous, Chronic, BCR-ABL Positive*/genetics , Leukemia, Myelogenous, Chronic, BCR-ABL Positive*/diagnosis , Leukemia, Myelogenous, Chronic, BCR-ABL Positive*/pathology , Leukemia, Myelogenous, Chronic, BCR-ABL Positive*/drug therapy , Supervised Machine Learning*, Humans ; Prognosis

Multi-Attribute Subset Selection enables prediction of representative phenotypes across microbial populations.

Authors: Herbst K; Bioinformatics Program, Boston University, Boston, MA, USA.; Biological Design Center, Boston University, Boston, MA, USA., Wang T; Division of Systems Engineering, Boston University, Boston, MA, USA., Forchielli EJ; Biological Design Center, Boston University, Boston, MA, USA.; Department of Biology, Boston University, Boston, MA, USA., Thommes M; Biological Design Center, Boston University, Boston, MA, USA.; Department of Biomedical Engineering, Boston University, Boston, MA, USA., Paschalidis IC; Division of Systems Engineering, Boston University, Boston, MA, USA. yannisp@bu.edu.; Department of Biomedical Engineering, Boston University, Boston, MA, USA. yannisp@bu.edu.; Faculty of Computing and Data Science, Boston University, Boston, MA, USA. yannisp@bu.edu.; Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA. yannisp@bu.edu., Segrè D; Bioinformatics Program, Boston University, Boston, MA, USA. dsegre@bu.edu.; Biological Design Center, Boston University, Boston, MA, USA. dsegre@bu.edu.; Department of Biology, Boston University, Boston, MA, USA. dsegre@bu.edu.; Department of Biomedical Engineering, Boston University, Boston, MA, USA. dsegre@bu.edu.; Faculty of Computing and Data Science, Boston University, Boston, MA, USA. dsegre@bu.edu.

Source: Communications biology [Commun Biol] 2024 Apr 03; Vol. 7 (1), pp. 407. Date of Electronic Publication: 2024 Apr 03.

Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Nature Publishing Group UK Country of Publication: England NLM ID: 101719179 Publication Model: Electronic Cited Medium: Internet ISSN: 2399-3642 (Electronic) Linking ISSN: 23993642 NLM ISO Abbreviation: Commun Biol Subsets: MEDLINE

MeSH Terms: Algorithms*, Phenotype

ITNR: Inversion Transformer-based Neural Ranking for cancer drug recommendations.

Authors: Sotudian S; Department of Electrical and Computer Engineering, Division of Systems Engineering, Boston University, Boston, MA, USA. Electronic address: sotudian@bu.edu., Paschalidis IC; Department of Electrical and Computer Engineering, Division of Systems Engineering, Boston University, Boston, MA, USA; Department of Biomedical Engineering, and Faculty of Computing and Data Sciences, Boston University, Boston, MA, USA. Electronic address: yannisp@bu.edu.

Source: Computers in biology and medicine [Comput Biol Med] 2024 Apr; Vol. 172, pp. 108312. Date of Electronic Publication: 2024 Mar 16.

Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural

Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE

MeSH Terms: Antineoplastic Agents*/pharmacology , Antineoplastic Agents*/therapeutic use , Neoplasms*/drug therapy , Neoplasms*/genetics, Humans ; Cell Line ; Genomics ; Machine Learning

Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records.

Authors: Zad Z; Division of Systems Engineering, Center for Information and Systems Engineering (CISE), Boston University, Brookline, MA, United States., Jiang VS; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, United States., Wolf AT; Icahn School of Medicine at Mount Sinai, New York, NY, United States., Wang T; Division of Systems Engineering, Center for Information and Systems Engineering (CISE), Boston University, Brookline, MA, United States., Cheng JJ; Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States., Paschalidis IC; Division of Systems Engineering, Center for Information and Systems Engineering (CISE), Boston University, Brookline, MA, United States.; Department of Electrical & Computer Engineering, Department of Biomedical Engineering, and Faculty for Computing & Data Sciences, Boston University, Boston, MA, United States., Mahalingaiah S; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, United States.; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, United States.

Source: Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2024 Jan 30; Vol. 15, pp. 1298628. Date of Electronic Publication: 2024 Jan 30 (Print Publication: 2024).

Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE

MeSH Terms: Polycystic Ovary Syndrome*/diagnosis, Humans ; Female ; Retrospective Studies ; Artificial Intelligence ; Electronic Health Records ; Luteinizing Hormone ; Algorithms ; Machine Learning

One-Shot Averaging for Distributed TD(λ) Under Markov Sampling.

Authors: Tian H; Department of Electrical Engineering, Boston University, Boston, MA, USA., Paschalidis IC; Department of Electrical Engineering and Division of System Engineering, Boston University, Boston, MA, USA., Olshevsky A; Department of Electrical Engineering and Division of System Engineering, Boston University, Boston, MA, USA.

Source: IEEE control systems letters [IEEE Control Syst Lett] 2024; Vol. 8, pp. 1541-1546. Date of Electronic Publication: 2024 Jun 11.

Publication Type: Journal Article

Journal Info: Publisher: Institute of Electrical Engineers, Inc Country of Publication: United States NLM ID: 101708149 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2475-1456 (Print) NLM ISO Abbreviation: IEEE Control Syst Lett Subsets: PubMed not MEDLINE

Large Language Models in Neurology Research and Future Practice.

Authors: Romano MF; From the Department of Medicine (M.F.R., R.A., V.B.K.), Boston University Chobanian & Avedisian School of Medicine, MA; Department of Radiology and Biomedical Imaging (M.F.R.), University of California, San Francisco; Department of Neurology (L.C.S., R.A.), Boston University Chobanian & Avedisian School of Medicine; Department of Electrical and Computer Engineering (I.C.P.), Division of Systems Engineering, and Department of Biomedical Engineering; Faculty of Computing and Data Sciences (I.C.P., V.B.K.), Boston University; Department of Anatomy and Neurobiology (R.A.); The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine; Department of Epidemiology, Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (R.A.); and Department of Computer Science (V.B.K.), Boston University, MA., Shih LC; From the Department of Medicine (M.F.R., R.A., V.B.K.), Boston University Chobanian & Avedisian School of Medicine, MA; Department of Radiology and Biomedical Imaging (M.F.R.), University of California, San Francisco; Department of Neurology (L.C.S., R.A.), Boston University Chobanian & Avedisian School of Medicine; Department of Electrical and Computer Engineering (I.C.P.), Division of Systems Engineering, and Department of Biomedical Engineering; Faculty of Computing and Data Sciences (I.C.P., V.B.K.), Boston University; Department of Anatomy and Neurobiology (R.A.); The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine; Department of Epidemiology, Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (R.A.); and Department of Computer Science (V.B.K.), Boston University, MA., Paschalidis IC; From the Department of Medicine (M.F.R., R.A., V.B.K.), Boston University Chobanian & Avedisian School of Medicine, MA; Department of Radiology and Biomedical Imaging (M.F.R.), University of California, San Francisco; Department of Neurology (L.C.S., R.A.), Boston University Chobanian & Avedisian School of Medicine; Department of Electrical and Computer Engineering (I.C.P.), Division of Systems Engineering, and Department of Biomedical Engineering; Faculty of Computing and Data Sciences (I.C.P., V.B.K.), Boston University; Department of Anatomy and Neurobiology (R.A.); The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine; Department of Epidemiology, Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (R.A.); and Department of Computer Science (V.B.K.), Boston University, MA., Au R; From the Department of Medicine (M.F.R., R.A., V.B.K.), Boston University Chobanian & Avedisian School of Medicine, MA; Department of Radiology and Biomedical Imaging (M.F.R.), University of California, San Francisco; Department of Neurology (L.C.S., R.A.), Boston University Chobanian & Avedisian School of Medicine; Department of Electrical and Computer Engineering (I.C.P.), Division of Systems Engineering, and Department of Biomedical Engineering; Faculty of Computing and Data Sciences (I.C.P., V.B.K.), Boston University; Department of Anatomy and Neurobiology (R.A.); The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine; Department of Epidemiology, Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (R.A.); and Department of Computer Science (V.B.K.), Boston University, MA., Kolachalama VB; From the Department of Medicine (M.F.R., R.A., V.B.K.), Boston University Chobanian & Avedisian School of Medicine, MA; Department of Radiology and Biomedical Imaging (M.F.R.), University of California, San Francisco; Department of Neurology (L.C.S., R.A.), Boston University Chobanian & Avedisian School of Medicine; Department of Electrical and Computer Engineering (I.C.P.), Division of Systems Engineering, and Department of Biomedical Engineering; Faculty of Computing and Data Sciences (I.C.P., V.B.K.), Boston University; Department of Anatomy and Neurobiology (R.A.); The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine; Department of Epidemiology, Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (R.A.); and Department of Computer Science (V.B.K.), Boston University, MA. vkola@bu.edu.

Source: Neurology [Neurology] 2023 Dec 04; Vol. 101 (23), pp. 1058-1067. Date of Electronic Publication: 2023 Dec 04.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural

Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0401060 Publication Model: Electronic Cited Medium: Internet ISSN: 1526-632X (Electronic) Linking ISSN: 00283878 NLM ISO Abbreviation: Neurology Subsets: MEDLINE

MeSH Terms: Artificial Intelligence* , Neurology*, Humans ; Language ; Medical Records ; Research Personnel