From images to detection: Machine learning for blood pattern classification.

Authors: Li Y; University of California, Davis, United States of America. Electronic address: ilnli@ucdavis.edu., Shen W; University of California, Irvine, United States of America. Electronic address: weinings@uci.edu.

Source: Forensic science international [Forensic Sci Int] 2025 Oct; Vol. 375, pp. 112558. Date of Electronic Publication: 2025 Jul 13.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Science Ireland Country of Publication: Ireland NLM ID: 7902034 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6283 (Electronic) Linking ISSN: 03790738 NLM ISO Abbreviation: Forensic Sci Int Subsets: MEDLINE

MeSH Terms: Forensic Medicine*/methods , Blood Stains* , Image Processing, Computer-Assisted*/methods , Pattern Recognition, Automated* , Boosting Machine Learning Algorithms*, Crime Victims ; Humans

KS-TMIL: A K-Stage Transformer approach with multiple instance learning model for ovarian cancer subtype classification.

Authors: Sai MJ; Atal Bihari Vajpayee-Indian Institute of Information Technology and Management, Dept. of Computer Science and Engineering, Gwalior, 474015, Madhya Pradesh, India., Punn NS; Atal Bihari Vajpayee-Indian Institute of Information Technology and Management, Dept. of Computer Science and Engineering, Gwalior, 474015, Madhya Pradesh, India. Electronic address: nspunn@iiitm.ac.in.

Source: Computers in biology and medicine [Comput Biol Med] 2025 Sep; Vol. 196 (Pt B), pp. 110726. Date of Electronic Publication: 2025 Jul 22.

Publication Type: Journal Article

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: Image Interpretation, Computer-Assisted*/methods , Multiple-Instance Learning Algorithms* , Ovarian Neoplasms*/classification , Ovarian Neoplasms*/diagnostic imaging , Ovarian Neoplasms*/pathology, Female ; Humans

A study on time-series prediction and analysis of acidity of Daqu based on multivariate data fusion and KNN-Attention-LSTM-XGBoost modeling.

Authors: Yang H; School of Mechanical Engineering, Sichuan University of Science and Engineering, Yibin, 644000, China., Xia H; School of Mechanical Engineering, Sichuan University of Science and Engineering, Yibin, 644000, China. 13527447962@163.com., Liu S; Anhui Province Key Laboratory of Intelligent Solid-State Fermentation Technology, Bozhou, 236800, China., Chen S; Anhui Province Key Laboratory of Intelligent Solid-State Fermentation Technology, Bozhou, 236800, China., Li L; Anhui Province Key Laboratory of Intelligent Solid-State Fermentation Technology, Bozhou, 236800, China., Liao X; School of Mechanical Engineering, Sichuan University of Science and Engineering, Yibin, 644000, China., Fei L; School of Mechanical Engineering, Sichuan University of Science and Engineering, Yibin, 644000, China., Xie L; School of Mechanical Engineering, Sichuan University of Science and Engineering, Yibin, 644000, China., Tian J; School of Mechanical Engineering, Sichuan University of Science and Engineering, Yibin, 644000, China., Hu X; School of Mechanical Engineering, Sichuan University of Science and Engineering, Yibin, 644000, China.; The Liquor Making Biological Technology and Application of Key Laboratory of Sichuan Province, Yibin, 644000, China.

Source: Bioprocess and biosystems engineering [Bioprocess Biosyst Eng] 2025 Sep; Vol. 48 (9), pp. 1451-1465. Date of Electronic Publication: 2025 Jun 14.

Publication Type: Journal Article

Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101088505 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1615-7605 (Electronic) Linking ISSN: 16157591 NLM ISO Abbreviation: Bioprocess Biosyst Eng Subsets: MEDLINE

MeSH Terms: Boosting Machine Learning Algorithms* , Fermentation*, Hydrogen-Ion Concentration ; Least-Squares Analysis ; Multivariate Analysis

Fine tuned CatBoost machine learning approach for early detection of cardiovascular disease through predictive modeling.

Authors: Hamid M; Department of Computer Science, Government College Women University Sialkot, Sialkot, 51310, Pakistan., Hajjej F; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia. fshajjej@pnu.edu.sa., Alluhaidan AS; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia., Bin Mannie NW; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia.

Source: Scientific reports [Sci Rep] 2025 Aug 25; Vol. 15 (1), pp. 31199. Date of Electronic Publication: 2025 Aug 25.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Boosting Machine Learning Algorithms* , Cardiovascular Diseases*/diagnosis, Female ; Humans ; Male ; Algorithms ; Early Diagnosis ; Machine Learning ; Risk Assessment

Molecular-Level Understanding of Membrane Disruption Behaviors of Antimicrobial Peptides by Gradient Boosting Algorithm-Assisted Raman Spectroscopy.

Authors: Li C; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Zhou QQ; Department of Radiology, Jinling Hospital, Affiliated Nanjing Medical University, Nanjing 210002, China.; Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 211100, China., Yu T; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Zhang X; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Kang Z; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Zhou M; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Wang Y; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Zou X; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Wang Z; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Guo J; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Li Q; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Lu G; Department of Radiology, Jinling Hospital, Affiliated Nanjing Medical University, Nanjing 210002, China., Xie H; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Guo J; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China.

Source: Journal of chemical information and modeling [J Chem Inf Model] 2025 Aug 25; Vol. 65 (16), pp. 8603-8613. Date of Electronic Publication: 2025 Aug 05.

Publication Type: Journal Article

Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE

MeSH Terms: Antimicrobial Cationic Peptides*/pharmacology , Antimicrobial Cationic Peptides*/chemistry , Antimicrobial Peptides*/pharmacology , Antimicrobial Peptides*/chemistry , Boosting Machine Learning Algorithms* , Cell Membrane*/drug effects , Cell Membrane*/metabolism , Cell Membrane*/chemistry , Spectrum Analysis, Raman*/methods, Phospholipids/chemistry ; Phospholipids/metabolism

Mixed effect gradient boosting for high-dimensional longitudinal data.

Authors: Olaniran OR; Department of Statistics, Faculty of Physical Sciences, University of Ilorin, Ilorin, Kwara State, PMB 1515, Nigeria. olaniran.or@unilorin.edu.ng.; Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom. olaniran.or@unilorin.edu.ng., Olaniran SF; Department of Statistics and Mathematical Sciences, Faculty of Pure and Applied Sciences, Kwara State University, Malete, Kwara State, PMB 1530, Nigeria., Allohibi J; Department of Mathematics, Taibah University, Faculty of Science, Al-Munawara, 42353, Saudi Arabia., Alharbi AA; Department of Mathematics, Taibah University, Faculty of Science, Al-Munawara, 42353, Saudi Arabia., Alharbi NM; Department of Mathematics, Taibah University, Faculty of Science, Al-Munawara, 42353, Saudi Arabia.

Source: Scientific reports [Sci Rep] 2025 Aug 22; Vol. 15 (1), pp. 30927. Date of Electronic Publication: 2025 Aug 22.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Boosting Machine Learning Algorithms*, Female ; Humans ; Pregnancy ; Algorithms ; Computer Simulation ; Longitudinal Studies ; Placenta/metabolism ; RNA/metabolism

XGBoost models based on non imaging features for the prediction of mild cognitive impairment in older adults.

Authors: Fernández-Blázquez MA; Department of Biological and Health Psychology, School of Psychology, Universidad Autónoma de Madrid, C/ Iván Pavlov, 6, Madrid, 28049, Spain. miguelangel.fernandezb@uam.es., Ruiz-Sánchez de León JM; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain., Sanz-Blasco R; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain., Verche E; Department of Psychobiology and Methodology in Behavioural Sciences, Universidad Complutense de Madrid, Madrid, Spain., Ávila-Villanueva M; Department of Biological and Health Psychology, School of Psychology, Universidad Autónoma de Madrid, C/ Iván Pavlov, 6, Madrid, 28049, Spain., Gil-Moreno MJ; Health Research Institute of the San Carlos Clinic Hospital (IdISSC), Madrid, Spain.; Neurology Department, Hospital Clínico San Carlos, Madrid, Spain., Montenegro-Peña M; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain.; Centre for the Prevention of Cognitive Impairment, Madrid Salud, Madrid City Council, Madrid, Spain., Terrón C; Nuestra Señora del Rosario University Hospital, Madrid, Spain.; Sanitas La Zarzuela University Hospital, Madrid, Spain., Fernández-García C; Cognitive Impairment Unit, Neurology Service, Sanitas La Moraleja University Hospital, Madrid, Spain., Gómez-Ramírez J; Psychophysiology and Neuroimaging Group, Institute of Biomedical Research Cadiz (INiBICA), Cadiz, Spain.

Source: Scientific reports [Sci Rep] 2025 Aug 13; Vol. 15 (1), pp. 29732. Date of Electronic Publication: 2025 Aug 13.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Boosting Machine Learning Algorithms* , Cognitive Dysfunction*/diagnosis, Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Machine Learning

Prognostic Value of Global Longitudinal Strain using Automated Measurement in Cardiac MRI.

Authors: Canuti ES; Université Paris Cité, Department of Cardiology, University Hospital of Lariboisiere, (Assistance Publique des Hôpitaux de Paris, AP-HP), 75010, Paris, France.; Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161 Rome, Italy.; Inserm MASCOT - UMRS 942, University Hospital of Lariboisiere, 75010, Paris, France.; MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), 75010, Paris, France.; Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France., Toupin S; Siemens Healthcare France - 93200 Saint-Denis, France., Hovasse T; Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France., Sanguineti F; Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France., Unterseeh T; Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France., Garot P; Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France., Champagne S; Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France., Duhamel S; Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France., Akodad M; Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France., Neylon A; Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France., Chitiboi T; Siemens Healthcare GmbH, Lindenplatz 2, 20099 Hamburg, Deutschland., Sharma P; Siemens Healthineers, Digital Technologies and Innovation, 755 College Road East, Princeton NJ 08540, USA., Gonçalves T; Université Paris Cité, Department of Cardiology, University Hospital of Lariboisiere, (Assistance Publique des Hôpitaux de Paris, AP-HP), 75010, Paris, France.; Inserm MASCOT - UMRS 942, University Hospital of Lariboisiere, 75010, Paris, France.; MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), 75010, Paris, France.; Université Paris Cité, Department of Radiology, University Hospital of Lariboisiere, (Assistance Publique des Hôpitaux de Paris, AP-HP), 75010, Paris, France., Mirailles R; Université Paris Cité, Department of Cardiology, University Hospital of Lariboisiere, (Assistance Publique des Hôpitaux de Paris, AP-HP), 75010, Paris, France.; Inserm MASCOT - UMRS 942, University Hospital of Lariboisiere, 75010, Paris, France.; MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), 75010, Paris, France., Unger A; Université Paris Cité, Department of Cardiology, University Hospital of Lariboisiere, (Assistance Publique des Hôpitaux de Paris, AP-HP), 75010, Paris, France.; Inserm MASCOT - UMRS 942, University Hospital of Lariboisiere, 75010, Paris, France.; MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), 75010, Paris, France.; Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France.; Université Libre de Bruxelles (ULB), Départment de Cardiologie, CUB Hôpital Erasme, 1070, Bruxelles, Belgique., Maestrini V; Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161 Rome, Italy., Pezel T; Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161 Rome, Italy.; Inserm MASCOT - UMRS 942, University Hospital of Lariboisiere, 75010, Paris, France.; MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), 75010, Paris, France.; Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France.; Université Paris Cité, Department of Radiology, University Hospital of Lariboisiere, (Assistance Publique des Hôpitaux de Paris, AP-HP), 75010, Paris, France., Garot J; Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France.

Source: Radiology [Radiology] 2025 Aug; Vol. 316 (2), pp. e241147.

Publication Type: Journal Article; Observational Study

Journal Info: Publisher: Radiological Society of North America Country of Publication: United States NLM ID: 0401260 Publication Model: Print Cited Medium: Internet ISSN: 1527-1315 (Electronic) Linking ISSN: 00338419 NLM ISO Abbreviation: Radiology Subsets: MEDLINE

MeSH Terms: Magnetic Resonance Imaging*/methods , Cardiovascular Diseases*/diagnostic imaging , Cardiovascular Diseases*/epidemiology , Cardiovascular Diseases*/etiology , Myocardial Ischemia*/complications , Myocardial Ischemia*/diagnostic imaging , Myocardial Ischemia*/physiopathology , Machine Learning Algorithms* , Global Longitudinal Strain*, Aged ; Female ; Humans ; Male ; Middle Aged ; Longitudinal Studies ; Predictive Value of Tests ; Prognosis ; Retrospective Studies ; Heart Failure/diagnostic imaging ; Heart Failure/epidemiology ; Heart Failure/etiology ; Feasibility Studies

Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnet.

Authors: Ejiyi CJ; Network and Data Security Key Laboratory, University of Electronic Science and Technology of China, Chengdu, Sichuan, China., Qin Z; Network and Data Security Key Laboratory, University of Electronic Science and Technology of China, Chengdu, Sichuan, China., Nneji GU; Department of Computer Science and Software Engineering, Oxford Brookes College of Chengdu University of Technology, China., Monday HN; Department of Computer Science and Software Engineering, Oxford Brookes College of Chengdu University of Technology, China., Agbesi VK; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China., Ejiyi MB; Pharmacy Department, University of Nigeria Nsukka, Enugu, Nigeria., Ejiyi TU; Department of Pure and Industrial Chemistry, University of Nigeria Nsukka, Enugu, Nigeria., Bamisile OO; Sichuan Industrial Internet Intelligent Monitoring and Application Engineering Research Center, Chengdu University of Technology, Chengdu, China.

Source: Network (Bristol, England) [Network] 2025 Aug; Vol. 36 (3), pp. 716-748. Date of Electronic Publication: 2024 Apr 16.

Publication Type: Journal Article; Review; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9431867 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-6536 (Electronic) Linking ISSN: 0954898X NLM ISO Abbreviation: Network Subsets: MEDLINE

MeSH Terms: Boosting Machine Learning Algorithms* , Cardiovascular Diseases*/diagnosis , Cardiovascular Diseases*/epidemiology , Deep Learning* , Random Forest*, Humans ; Computer Simulation ; Data Mining/methods ; Early Diagnosis ; Machine Learning ; Risk Assessment/methods

XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy.

Authors: Li W; Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.; The Third Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China., Zhou Y; Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Henan Polytechnic University (The Second People's Hospital of Jiaozuo City), Jiaozuo, Henan, China., Luo Z; Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.; The Third Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China., Tan M; Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.; The Third Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China., Yin R; Department of General Surgery Ward 1, Hospital of Ningshan County, Ankang, Shaanxi, China., Li J; Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.; The Third Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Source: Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2025 Jul 29; Vol. 16, pp. 1639639. Date of Electronic Publication: 2025 Jul 29 (Print Publication: 2025).

Publication Type: Journal Article

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: Boosting Machine Learning Algorithms* , Thyroid Neoplasms*/diagnosis , Thyroid Neoplasms*/diagnostic imaging , Thyroid Neoplasms*/pathology , Thyroid Nodule*/diagnostic imaging , Thyroid Nodule*/pathology , Thyroid Nodule*/diagnosis, Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Precision Medicine/methods ; Retrospective Studies ; ROC Curve ; Ultrasonography/methods

Identification of Fusarium sambucinum species complex by surface-enhanced Raman spectroscopy and XGBoost algorithm.

Authors: Caramês ETS; Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, 05508-900 São Paulo, Brazil., de Moraes-Neto VF; Department of Food Science, School of Food Engineering, State University of Campinas, 13083-862 Campinas, São Paulo, Brazil., Bertozzi BG; Department of Food Science, School of Food Engineering, State University of Campinas, 13083-862 Campinas, São Paulo, Brazil., da Silva LP; Institute of Chemistry, State University of Campinas, 13083-970 Campinas, São Paulo, Brazil., Villa JEL; Institute of Chemistry, State University of Campinas, 13083-970 Campinas, São Paulo, Brazil. Electronic address: jelv@unicamp.br., Pallone JAL; Department of Food Science, School of Food Engineering, State University of Campinas, 13083-862 Campinas, São Paulo, Brazil., Rocha LO; Department of Food Science, School of Food Engineering, State University of Campinas, 13083-862 Campinas, São Paulo, Brazil., Correa B; Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, 05508-900 São Paulo, Brazil. Electronic address: correabe@usp.br.

Source: Food chemistry [Food Chem] 2025 Jul 15; Vol. 480, pp. 143848. Date of Electronic Publication: 2025 Mar 12.

Publication Type: Journal Article; Evaluation Study

Journal Info: Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 7702639 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7072 (Electronic) Linking ISSN: 03088146 NLM ISO Abbreviation: Food Chem Subsets: MEDLINE

MeSH Terms: Boosting Machine Learning Algorithms* , Fusarium*/chemistry , Fusarium*/classification , Fusarium*/isolation & purification , Spectrum Analysis, Raman*/methods, Hordeum/microbiology

Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability.

Authors: Jiang Y; Department of Nursing, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, China., Wang HW; Shanxi Medical University, Taiyuan, 030000, China., Tian FY; Department of Hospital Infection, The Second Hospital of Shanxi Medical University, Taiyuan, 030000, China., Guo Y; Department of Nursing, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, China., Wang XM; Department of Nursing, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, China. shiwang_0405@qq.com.

Source: Scientific reports [Sci Rep] 2025 Jun 05; Vol. 15 (1), pp. 19737. Date of Electronic Publication: 2025 Jun 05.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Boosting Machine Learning Algorithms* , Carbapenems*/pharmacology , Carbapenems*/therapeutic use , Cross Infection*/microbiology , Cross Infection*/epidemiology , Drug Resistance, Bacterial* , Pseudomonas aeruginosa*/drug effects , Pseudomonas Infections*/epidemiology , Pseudomonas Infections*/microbiology , Pseudomonas Infections*/drug therapy, Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Anti-Bacterial Agents/pharmacology ; Anti-Bacterial Agents/therapeutic use ; Machine Learning ; Risk Factors ; ROC Curve

Hierarchically Optimized Multiple Instance Learning With Multi-Magnification Pathological Images for Cerebral Tumor Diagnosis.

Authors: Zhu L, Yan R, Guan T, Zhang F, Guo L, He Q, Shi S, Shi H, He Y, Han A

Source: IEEE journal of biomedical and health informatics [IEEE J Biomed Health Inform] 2025 Jun; Vol. 29 (6), pp. 4173-4185.

Publication Type: Journal Article

Journal Info: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101604520 Publication Model: Print Cited Medium: Internet ISSN: 2168-2208 (Electronic) Linking ISSN: 21682194 NLM ISO Abbreviation: IEEE J Biomed Health Inform Subsets: MEDLINE

MeSH Terms: Brain Neoplasms*/diagnostic imaging , Brain Neoplasms*/pathology , Image Interpretation, Computer-Assisted*/methods , Multiple-Instance Learning Algorithms*, Humans ; Brain/diagnostic imaging ; Brain/pathology ; Databases, Factual ; Glioma/diagnostic imaging ; Glioma/pathology ; Machine Learning

MCD-LightGBM System for Intelligent Analyzing Heterogeneous Clinical Drug Therapeutic Effects.

Authors: Yang XH, Liao HJ, Sun PY, Ma J, Wang B, He Y, Xue LG, Su LM, Wang BJ

Source: IEEE journal of biomedical and health informatics [IEEE J Biomed Health Inform] 2025 Jun; Vol. 29 (6), pp. 3894-3905.

Publication Type: Journal Article

Journal Info: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101604520 Publication Model: Print Cited Medium: Internet ISSN: 2168-2208 (Electronic) Linking ISSN: 21682194 NLM ISO Abbreviation: IEEE J Biomed Health Inform Subsets: MEDLINE

MeSH Terms: Boosting Machine Learning Algorithms* , Drug Therapy*, Humans ; Algorithms ; Machine Learning

S2L-CM: Scribble-supervised nuclei segmentation in histopathology images using contrastive regularization and pixel-level multiple instance learning.

Authors: Oh HJ; Department of Computer Science and Engineering, College of Informatics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, South Korea., Min S; Department of Computer Science and Engineering, College of Informatics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, South Korea., Jeong WK; Department of Computer Science and Engineering, College of Informatics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, South Korea. Electronic address: wkjeong@korea.ac.kr.

Source: Computers in biology and medicine [Comput Biol Med] 2025 Jun; Vol. 192 (Pt B), pp. 110293. Date of Electronic Publication: 2025 May 16.

Publication Type: Journal Article

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: Cell Nucleus*/pathology , Image Processing, Computer-Assisted*/methods , Multiple-Instance Learning Algorithms*, Humans ; Algorithms ; Deep Learning

Whole slide image-level classification of malignant effusion cytology using clustering-constrained attention multiple instance learning.

Authors: Kim D; The Catholic University of Korea College of Medicine, Seoul, South Korea., Lee J; The Catholic University of Korea College of Medicine, Seoul, South Korea., Jung M; The Catholic University of Korea College of Medicine, Seoul, South Korea., Yim K; Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul, South Korea., Hwang G; AI Research Lab, DEEPNOID Inc., Seoul, South Korea., Yoon H; AI Research Lab, DEEPNOID Inc., Seoul, South Korea., Jeong D; AI Research Lab, DEEPNOID Inc., Seoul, South Korea., Cho WJ; AI Research Lab, DEEPNOID Inc., Seoul, South Korea., Alam MR; Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul, South Korea., Gong G; Department of Pathology, Asan Medical Center, Seoul, South Korea., Cho NH; Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea., Yoo CW; Department of Pathology, National Cancer Center, Goyang, South Korea., Chong Y; Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul, South Korea. Electronic address: ychong@catholic.ac.kr., Seo KJ; Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul, South Korea. Electronic address: ywacko@catholic.ac.kr.

Source: Lung cancer (Amsterdam, Netherlands) [Lung Cancer] 2025 Jun; Vol. 204, pp. 108552. Date of Electronic Publication: 2025 Apr 21.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8800805 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8332 (Electronic) Linking ISSN: 01695002 NLM ISO Abbreviation: Lung Cancer Subsets: MEDLINE

MeSH Terms: Cluster Analysis* , Lung Neoplasms*/diagnosis , Lung Neoplasms*/pathology , Multiple-Instance Learning Algorithms* , Pleural Effusion, Malignant*/diagnosis , Pleural Effusion, Malignant*/pathology , Pleural Effusion, Malignant*/classification, Humans ; Cytodiagnosis/methods ; Image Processing, Computer-Assisted/methods

Interpretable machine learning for thyroid cancer recurrence predicton: Leveraging XGBoost and SHAP analysis.

Authors: Schindele A; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Krebold A; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Heiß U; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Nimptsch K; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Pfaehler E; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Berr C; Internal Medicine I, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Bundschuh RA; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Wendler T; Diagnostic and Interventional Radiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Kertels O; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Tran-Gia J; Department of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacherstr. 6, Würzburg 97080, Germany., Pfob CH; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Lapa C; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany. Electronic address: Constantin.lapa@uk-augsburg.de.

Source: European journal of radiology [Eur J Radiol] 2025 May; Vol. 186, pp. 112049. Date of Electronic Publication: 2025 Mar 14.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 8106411 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7727 (Electronic) Linking ISSN: 0720048X NLM ISO Abbreviation: Eur J Radiol Subsets: MEDLINE

MeSH Terms: Boosting Machine Learning Algorithms* , Neoplasm Recurrence, Local*/epidemiology , Neoplasm Recurrence, Local*/diagnosis , Thyroid Neoplasms*/epidemiology , Thyroid Neoplasms*/diagnosis , Thyroid Neoplasms*/diagnostic imaging, Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Biomarkers, Tumor/blood ; Germany/epidemiology ; Machine Learning ; Prognosis ; Reproducibility of Results ; Retrospective Studies ; Risk Assessment ; Risk Factors ; Sensitivity and Specificity

Prediction of cardiovascular disease based on multiple feature selection and improved PSO-XGBoost model.

Authors: Cao K; College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, 110142, China.; Key Laboratory of Intelligent Technology of Chemical Process Industry in Liaoning Province, Shenyang, 110142, China., Liu C; College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, 110142, China., Yang S; College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, 110142, China., Zhang Y; College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, 110142, China., Li L; Shenyang Maternity and Child Health Hospital, Shenyang, 110014, China., Jung H; Computer Engineering Dept, Paichai University, Daejeon, 35345, Korea. hkjung@pcu.ac.kr., Zhang S; College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, 110142, China. syzs1210@163.com.

Source: Scientific reports [Sci Rep] 2025 Apr 11; Vol. 15 (1), pp. 12406. Date of Electronic Publication: 2025 Apr 11.

Publication Type: Evaluation Study; Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Boosting Machine Learning Algorithms* , Cardiovascular Diseases*/diagnosis , Cardiovascular Diseases*/epidemiology, Humans ; Area Under Curve ; ROC Curve

The KMeansGraphMIL Model: A Weakly Supervised Multiple Instance Learning Model for Predicting Colorectal Cancer Tumor Mutational Burden.

Authors: Chen L; Radiology Department, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China., Xiao H; Radiology Department, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China., Jiang J; Department of Medical Imaging, First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China., Li B; Department of Medical Imaging, First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China., Liu W; College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China. Electronic address: wxliu@szu.edu.cn., Huang W; Radiology Department, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China. Electronic address: huangwensheng@sysush.com.

Source: The American journal of pathology [Am J Pathol] 2025 Apr; Vol. 195 (4), pp. 671-679. Date of Electronic Publication: 2025 Jan 10.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 0370502 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1525-2191 (Electronic) Linking ISSN: 00029440 NLM ISO Abbreviation: Am J Pathol Subsets: MEDLINE

MeSH Terms: Biomarkers, Tumor*/genetics , Colorectal Neoplasms*/genetics , Colorectal Neoplasms*/pathology , Colorectal Neoplasms*/diagnosis , Multiple-Instance Learning Algorithms* , Mutation*, Humans ; ROC Curve

Enhancing the diagnostic accuracy of colorectal cancer through the integration of serum tumor markers and hematological indicators with machine learning algorithms.

Authors: Xu R; Department of Epidemiology and Health Statistics, Dalian Medical University, Dalian, China., Chi H; Dalian Medical Association, Dian, China., Zhang Q; Department of Epidemiology and Health Statistics, Dalian Medical University, Dalian, China., Li X; Department of Epidemiology and Health Statistics, Dalian Medical University, Dalian, China. lxf_chen@dmu.edu.cn., Hong Z; The Health Management Center, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China. happyday246@163.com.

Source: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico [Clin Transl Oncol] 2025 Jan; Vol. 27 (1), pp. 299-308. Date of Electronic Publication: 2024 Jun 20.

Publication Type: Journal Article

Journal Info: Publisher: Springer Italia Country of Publication: Italy NLM ID: 101247119 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1699-3055 (Electronic) Linking ISSN: 1699048X NLM ISO Abbreviation: Clin Transl Oncol Subsets: MEDLINE

MeSH Terms: Colorectal Neoplasms*/blood , Colorectal Neoplasms*/diagnosis , Biomarkers, Tumor*/blood , Machine Learning Algorithms*, Humans ; Male ; Female ; Antigens, Tumor-Associated, Carbohydrate ; Carcinoembryonic Antigen/blood ; alpha-Fetoproteins/analysis ; CA-125 Antigen/blood ; Membrane Proteins/blood ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Aged ; Aged, 80 and over