Leveraging ensemble machine learning models (XGBoost and random forest) and genetic algorithms to predict factors contributing to the liposomal entrapment of therapeutics.

Authors: Khodadadi F; Department of Pharmaceutics and Pharmaceutical Nanotechnology, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran. a_haeri@sbmu.ac.ir., Taghizadeh F; Department of Pharmaceutics and Pharmaceutical Nanotechnology, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran. a_haeri@sbmu.ac.ir., Hashemi Baghi A; Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran., Ayyoubzadeh SM; Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran., Dadashzadeh S; Department of Pharmaceutics and Pharmaceutical Nanotechnology, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran. a_haeri@sbmu.ac.ir., Haeri A; Department of Pharmaceutics and Pharmaceutical Nanotechnology, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran. a_haeri@sbmu.ac.ir.; Protein Technology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Source: Nanoscale [Nanoscale] 2025 Oct 02; Vol. 17 (38), pp. 22271-22290. Date of Electronic Publication: 2025 Oct 02.

Publication Type: Journal Article

Journal Info: Publisher: RSC Pub Country of Publication: England NLM ID: 101525249 Publication Model: Electronic Cited Medium: Internet ISSN: 2040-3372 (Electronic) Linking ISSN: 20403364 NLM ISO Abbreviation: Nanoscale Subsets: MEDLINE

MeSH Terms: Liposomes*/chemistry , Machine Learning* , Algorithms*, Drug Delivery Systems ; Solubility ; Cholesterol/chemistry ; Genetic Algorithms ; Random Forest ; Boosting Machine Learning Algorithms

Assessing the 10/66 dementia classification algorithm for international comparative analyses with the United States.

Authors: Llibre Guerra JJ; Department of Neurology, Washington University in St. Louis, St. Louis, MO, United States., Weiss J; Stanford Center on Longevity, Stanford University, Stanford, CA, United States., Li J; Department of Pharmacy, University of Washington, Seattle, WA, United States., Soria C; Department of Demography, University of California at Berkeley, Berkeley, CA, United States., Rodriguez-Salgado A; Medical University of Havana, Havana, Cuba., Jesús Llibre Rodriguez J; Medical University of Havana, Havana, Cuba., Jiménez Velázquez IZ; Department of Medicine, University of Puerto Rico, San Juan, Puerto Rico., Acosta D; Universidad Nacional Pedro Henriquez Ureña, Santo Domingo, Dominican Republic., Liu MM; Department of Demography, University of California at Berkeley, Berkeley, CA, United States., Dow WH; Department of Demography, University of California at Berkeley, Berkeley, CA, United States.; Department of Demography, School of Public Health, University of California at Berkeley, Berkeley, CA, United States.

Source: American journal of epidemiology [Am J Epidemiol] 2025 Nov 04; Vol. 194 (11), pp. 3117-3125.

Publication Type: Journal Article; Comparative Study

Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited Medium: Internet ISSN: 1476-6256 (Electronic) Linking ISSN: 00029262 NLM ISO Abbreviation: Am J Epidemiol Subsets: MEDLINE

MeSH Terms: Algorithms* , Dementia*/classification , Dementia*/epidemiology , Dementia*/diagnosis, Humans ; United States/epidemiology ; Aged ; Male ; Female ; Aged, 80 and over ; Middle Aged ; Risk Factors ; Sensitivity and Specificity ; Prevalence ; Developing Countries ; Classification Algorithms

SCIMITAR: optimising chest digital tomosynthesis devices using geometric simulations and genetic algorithms.

Authors: Hill AD; Department of Physics, University of Liverpool, Liverpool, United Kingdom.; The Cockcroft Institute, Sci-Tech Daresbury, Warrington, United Kingdom., Aflyatunova D; Department of Physics, University of Liverpool, Liverpool, United Kingdom.; The Cockcroft Institute, Sci-Tech Daresbury, Warrington, United Kingdom., Mavalankar A; Adaptix Ltd, Oxford University Begbroke Science Park, Oxford, United Kingdom., Wells S; Adaptix Ltd, Oxford University Begbroke Science Park, Oxford, United Kingdom., Bowen DK; Adaptix Ltd, Oxford University Begbroke Science Park, Oxford, United Kingdom., Holloway F; Department of Physics, University of Liverpool, Liverpool, United Kingdom., Eley L; Department of Physics, University of Liverpool, Liverpool, United Kingdom.; The Cockcroft Institute, Sci-Tech Daresbury, Warrington, United Kingdom., Jamieson I; Adaptix Ltd, Oxford University Begbroke Science Park, Oxford, United Kingdom., Contino M; Adaptix Ltd, Oxford University Begbroke Science Park, Oxford, United Kingdom., Welsch CP; Department of Physics, University of Liverpool, Liverpool, United Kingdom.; The Cockcroft Institute, Sci-Tech Daresbury, Warrington, United Kingdom.

Source: Biomedical physics & engineering express [Biomed Phys Eng Express] 2025 Oct 14; Vol. 11 (6). Date of Electronic Publication: 2025 Oct 14.

Publication Type: Journal Article

Journal Info: Publisher: IOP Publishing Ltd Country of Publication: England NLM ID: 101675002 Publication Model: Electronic Cited Medium: Internet ISSN: 2057-1976 (Electronic) Linking ISSN: 20571976 NLM ISO Abbreviation: Biomed Phys Eng Express Subsets: MEDLINE

MeSH Terms: Algorithms* , Imaging, Three-Dimensional*/methods , Imaging, Three-Dimensional*/instrumentation , Radiography, Thoracic*/instrumentation , Radiography, Thoracic*/methods , Tomography, X-Ray Computed*/instrumentation , Tomography, X-Ray Computed*/methods , Radiographic Image Enhancement*/instrumentation , Radiographic Image Enhancement*/methods, Humans ; Computer Simulation ; Equipment Design ; Phantoms, Imaging ; Genetic Algorithms

A feature recognition and detection algorithm for pine wilt disease trees based on FLMP-YOLOv8.

Authors: Feng X; College of Electronic and Information Engineering, Xi'an Technological University, Xi'an, China.; College of Sciences, Xi'an Technological University, Xi'an, China., Zhao X; College of Electronic and Information Engineering, Xi'an Technological University, Xi'an, China., Shi H; College of Sciences, Xi'an Technological University, Xi'an, China., Chen C; College of Electronic and Information Engineering, Xi'an Technological University, Xi'an, China., Xie Y; Institute of Forest Protection, Shaanxi Academy of Forestry Sciences, Xi'an, China., Liu M; College of Electronic and Information Engineering, Xi'an Technological University, Xi'an, China., Hu H; College of Electronic and Information Engineering, Xi'an Technological University, Xi'an, China., Guo H; Institute of Forest Protection, Shaanxi Academy of Forestry Sciences, Xi'an, China., Xue P; College of Sciences, Xi'an Technological University, Xi'an, China.

Source: PloS one [PLoS One] 2025 Dec 04; Vol. 20 (12), pp. e0337109. Date of Electronic Publication: 2025 Dec 04 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Plant Diseases*/parasitology , Algorithms* , Pinus*/parasitology , Trees*/parasitology, Animals ; Forests ; China ; Coleoptera ; Detection Algorithms

Adverse Short-Term Cardiometabolic Outcomes in Psychosis Early Intervention Services: Which Risk Prediction Algorithm?

Authors: Hughes J; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK., Asok AM; NHS Greater Glasgow and Clyde, Glasgow, UK., Lim MF; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK.; Department of Psychiatry, University of Cambridge, Cambridge, UK., Galindo L; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK.; Department of Psychiatry, University of Cambridge, Cambridge, UK., Perry BI; Department of Psychiatry, University of Cambridge, Cambridge, UK.; Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, UK.; Birmingham Early Intervention Service, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK.

Source: Early intervention in psychiatry [Early Interv Psychiatry] 2025 Dec; Vol. 19 (12), pp. e70116.

Publication Type: Journal Article

Journal Info: Publisher: Wiley-Blackwell Country of Publication: Australia NLM ID: 101320027 Publication Model: Print Cited Medium: Internet ISSN: 1751-7893 (Electronic) Linking ISSN: 17517885 NLM ISO Abbreviation: Early Interv Psychiatry Subsets: MEDLINE

MeSH Terms: Psychotic Disorders*/complications , Psychotic Disorders*/therapy , Algorithms* , Early Medical Intervention* , Cardiometabolic Risk Factors*, Humans ; Adult ; Male ; Female ; Adolescent ; Young Adult ; Middle Aged ; Risk Assessment/methods ; Aged ; Prediction Algorithms

Real-world validation of a bleeding prediction algorithm in levonorgestrel intrauterine device users using the MyIUS mobile app.

Authors: Vieira CS; Department of Obstetrics and Gynecology, Ribeirao Preto Medical School, University of São Paulo, Brazil. Electronic address: carol.sales@usp.br., Eggebrecht L; ZEG Berlin, Center for Epidemiology and Health Research, Berlin, Germany., Milhoranca IA; ZEG Berlin, Center for Epidemiology and Health Research, Berlin, Germany., Neumann R; Bayer Aktiengesellschaft, Berlin, Germany., Acar MS; Bayer Consumer Care AG, Basel, Switzerland., von Stockum S; ZEG Berlin, Center for Epidemiology and Health Research, Berlin, Germany., Frenz AK; Bayer Aktiengesellschaft, Wuppertal - Aprath, Germany.

Source: Contraception [Contraception] 2025 Dec; Vol. 152, pp. 111201. Date of Electronic Publication: 2025 Sep 04.

Publication Type: Journal Article; Observational Study; Validation Study; Multicenter Study

Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 0234361 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0518 (Electronic) Linking ISSN: 00107824 NLM ISO Abbreviation: Contraception Subsets: MEDLINE

MeSH Terms: Levonorgestrel*/administration & dosage , Levonorgestrel*/adverse effects , Mobile Applications* , Intrauterine Devices, Medicated*/adverse effects , Algorithms* , Contraceptive Agents, Female*/administration & dosage , Contraceptive Agents, Female*/adverse effects , Metrorrhagia*, Humans ; Female ; Adult ; Young Adult ; Adolescent ; Amenorrhea/chemically induced ; Middle Aged ; Prediction Algorithms

Developing predictive models for COVID-19 positive tests based on the XGBoost and random forest algorithms with internet search data.

Authors: Chang Y; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Chen J; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Chen X; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Wu Y; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Tang H; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Wu G; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Sun J; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Liao Y; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Chen H; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Cai S; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Hao Y; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China. haoyt@bjmu.edu.cn.; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China. haoyt@bjmu.edu.cn.; Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China. haoyt@bjmu.edu.cn.; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China. haoyt@bjmu.edu.cn., Zhang W; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China. zhangwj227@mail.sysu.edu.cn., Du Z; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China. duzhch5@mail.sysu.edu.cn.; Guangzhou Joint Research Center for Disease Surveillance and Risk Assessment, Sun Yat-sen University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China. duzhch5@mail.sysu.edu.cn.

Source: BMC public health [BMC Public Health] 2025 Nov 28; Vol. 25 (1), pp. 4189. Date of Electronic Publication: 2025 Nov 28.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE

MeSH Terms: COVID-19*/diagnosis , COVID-19*/epidemiology , Internet* , Algorithms* , Models, Statistical* , COVID-19 Testing*/statistics & numerical data , Search Engine*, Humans ; Forecasting/methods ; SARS-CoV-2 ; Random Forest ; Boosting Machine Learning Algorithms

Prevalence of retinopathy of prematurity in African preterm infants and evaluation of the accuracy of the WINROP predictive algorithm: an observational clinical study.

Authors: Amouzou D; Department of Ophthalmology, University of Ilorin Teaching Hospital, Kwara State, Nigeria.; Department of Ophthalmology, University of Lome Teaching Hospital, Lome, Togo., Ademola-Popoola DS; Department of Ophthalmology, University of Ilorin and University of Ilorin Teaching Hospital, Kwara State, Nigeria. dupsyp@yahoo.com., Obajolowo TS; Department of Ophthalmology, University of Ilorin and University of Ilorin Teaching Hospital, Kwara State, Nigeria., Adesiyun OO; Department of Pediatrics, Neonatology Unit, University of Ilorin, University of Ilorin Teaching Hospital, Kwara State, Nigeria., Olokoba LB; Department of Ophthalmology, University of Ilorin and University of Ilorin Teaching Hospital, Kwara State, Nigeria., Olatunji VA; Department of Ophthalmology, University of Ilorin and University of Ilorin Teaching Hospital, Kwara State, Nigeria.

Source: BMC ophthalmology [BMC Ophthalmol] 2025 Nov 27; Vol. 25 (1), pp. 673. Date of Electronic Publication: 2025 Nov 27.

Publication Type: Journal Article; Observational Study

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967802 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2415 (Electronic) Linking ISSN: 14712415 NLM ISO Abbreviation: BMC Ophthalmol Subsets: MEDLINE

MeSH Terms: Retinopathy of Prematurity*/epidemiology , Retinopathy of Prematurity*/diagnosis , Algorithms* , Neonatal Screening*/methods, Humans ; Infant, Newborn ; Infant, Premature ; Female ; Prevalence ; Male ; Gestational Age ; Birth Weight ; Predictive Value of Tests ; Intensive Care Units, Neonatal ; Prediction Algorithms

Aerial small target detection algorithm based on cross-scale separated attention.

Authors: Liang J; College of Computer Application, Guilin University of Technology, Guilin, Guangxi, China., Wang F; College of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China., Chen J; College of Computer Application, Guilin University of Technology, Guilin, Guangxi, China., Huang HY; College of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China., Dou ZF; College of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China.

Source: PloS one [PLoS One] 2025 Nov 26; Vol. 20 (11), pp. e0337318. Date of Electronic Publication: 2025 Nov 26 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Algorithms* , Unmanned Aerial Devices* , Photography*/methods , Image Processing, Computer-Assisted*/methods, Detection Algorithms

Low-Cost, High-Accuracy Reactivity Modeling: Integrating Genetic Algorithms and Machine Learning with Multilevel DFT Calculations.

Authors: Pérez JA; Instituto de Química Rosario (CONICET), Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, Rosario 2000, Argentina.; Instituto de Investigaciones en Ingeniería Ambiental, Química y Biotecnología Aplicada (INGEBIO), Facultad de Química e Ingeniería del Rosario, Pontificia Universidad Católica Argentina, Av. Pellegrini 3314, Rosario 2000, Argentina., Zanardi MM; Instituto de Investigaciones en Ingeniería Ambiental, Química y Biotecnología Aplicada (INGEBIO), Facultad de Química e Ingeniería del Rosario, Pontificia Universidad Católica Argentina, Av. Pellegrini 3314, Rosario 2000, Argentina., Sarotti AM; Instituto de Química Rosario (CONICET), Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, Rosario 2000, Argentina.

Source: Journal of chemical information and modeling [J Chem Inf Model] 2025 Nov 24; Vol. 65 (22), pp. 12422-12436. Date of Electronic Publication: 2025 Nov 10.

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: Machine Learning* , Density Functional Theory* , Algorithms*, Thermodynamics ; Cycloaddition Reaction ; Genetic Algorithms

Demand forecasting and inventory optimization of distribution equipment: A fusion model based on genetic algorithm and machine learning.

Authors: Tu Q; Economic and Technological Research Institute, State Grid Shandong Electric Power Company, Jinan, China., Zhang H; Economic and Technological Research Institute, State Grid Shandong Electric Power Company, Jinan, China., Li W; State Grid Economic and Technical Research Institute Co., Ltd., Beijing, China., Duan J; State Grid Economic and Technical Research Institute Co., Ltd., Beijing, China., Kong C; Economic and Technological Research Institute, State Grid Shandong Electric Power Company, Jinan, China.

Source: PloS one [PLoS One] 2025 Nov 18; Vol. 20 (11), pp. e0336026. Date of Electronic Publication: 2025 Nov 18 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Machine Learning* , Algorithms* , Electric Power Supplies*, Forecasting ; Models, Theoretical ; Genetic Algorithms

Genetic algorithm-optimized neural network outperforms TNM staging in predicting rapidly progressive nasopharyngeal carcinoma: Reassessing adjuvant chemotherapy benefit via propensity score matching.

Authors: Ling LT; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Li WJ; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Yao Y; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Tan KQ; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Zhu BL; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Zhou LQ; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Qu S; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Li L; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Guan Y; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Zhu XD; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China. Electronic address: zhuxdonggxmu@126.com., Pan LH; Guangxi Engineering Research Center for Tissue & Organ Injury and Repair Medicine, Nanning, China; Guangxi Key Laboratory for Basic Science and Prevention of Perioperative Organ Dysfunction, Nanning, China. Electronic address: panlinghui@gxmu.edu.cn., Liang ZG; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China. Electronic address: liangzhongguo@gxmu.edu.cn.

Source: European journal of cancer (Oxford, England : 1990) [Eur J Cancer] 2025 Nov 17; Vol. 230, pp. 115787. Date of Electronic Publication: 2025 Sep 12.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Science Ltd Country of Publication: England NLM ID: 9005373 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0852 (Electronic) Linking ISSN: 09598049 NLM ISO Abbreviation: Eur J Cancer Subsets: MEDLINE

MeSH Terms: Neural Networks, Computer* , Nasopharyngeal Carcinoma*/pathology , Nasopharyngeal Carcinoma*/therapy , Nasopharyngeal Carcinoma*/mortality , Nasopharyngeal Carcinoma*/genetics , Nasopharyngeal Neoplasms*/pathology , Nasopharyngeal Neoplasms*/therapy , Nasopharyngeal Neoplasms*/genetics , Nasopharyngeal Neoplasms*/mortality , Algorithms*, Humans ; Male ; Female ; Retrospective Studies ; Middle Aged ; Neoplasm Staging ; Chemotherapy, Adjuvant ; Disease Progression ; Propensity Score ; Adult ; Aged ; Machine Learning ; Chemoradiotherapy ; Young Adult ; Genetic Algorithms

ESA-YOLO: An efficient scale-aware traffic sign detection algorithm based on YOLOv11 under adverse weather conditions.

Authors: Li C; School of Computer Science and Technology, XinJiang University, Urumqi City, Xinjiang Autonomous Region, China., Liu S; School of Computer Science and Technology, XinJiang University, Urumqi City, Xinjiang Autonomous Region, China., Peng Z; School of Computer Science and Technology, XinJiang University, Urumqi City, Xinjiang Autonomous Region, China.

Source: PloS one [PLoS One] 2025 Nov 14; Vol. 20 (11), pp. e0336863. Date of Electronic Publication: 2025 Nov 14 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Algorithms* , Weather* , Automobile Driving*, Humans ; Detection Algorithms

Multivariate analysis of determinants and development of a predictive algorithm for successful labor induction in nulliparous women.

Authors: Wei N; Ultrasound Department of National Traditional Chinese Medicine Hospital of Xiangxi Tujia and Miao Autonomous Prefecture, Jishou, Hunan, China. weineifang1@163.com., Wang Z; Ultrasound Department of National Traditional Chinese Medicine Hospital of Xiangxi Tujia and Miao Autonomous Prefecture, Jishou, Hunan, China.

Source: BMC pregnancy and childbirth [BMC Pregnancy Childbirth] 2025 Nov 14; Vol. 25 (1), pp. 1207. Date of Electronic Publication: 2025 Nov 14.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967799 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2393 (Electronic) Linking ISSN: 14712393 NLM ISO Abbreviation: BMC Pregnancy Childbirth Subsets: MEDLINE

MeSH Terms: Labor, Induced*/methods , Labor, Induced*/statistics & numerical data , Algorithms*, Humans ; Female ; Pregnancy ; Retrospective Studies ; Adult ; Parity ; Nomograms ; Multivariate Analysis ; Cervix Uteri/diagnostic imaging ; ROC Curve ; Cervical Length Measurement ; Cervical Ripening ; Prediction Algorithms

MSF-DETR: A small target detection algorithm for sonar images based on spatial-frequency domain collaborative feature fusion.

Authors: Zhao H; Naval Submarine Academy, Qingdao, China., Han S; Naval Submarine Academy, Qingdao, China., Geng J; Naval Submarine Academy, Qingdao, China., Han Y; Naval Submarine Academy, Qingdao, China., Jia S; Naval Submarine Academy, Qingdao, China., Li K; Naval Submarine Academy, Qingdao, China.

Source: PloS one [PLoS One] 2025 Nov 14; Vol. 20 (11), pp. e0336468. Date of Electronic Publication: 2025 Nov 14 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Algorithms* , Image Processing, Computer-Assisted*/methods, Detection Algorithms

An optimized Arabic cyberbullying detection approach based on genetic algorithms.

Authors: Eissa AM; Department of IT, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt. ayamohammed@alexu.edu.eg., Guirguis SK; Department of IT, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt., Madbouly MM; Faculty of Computer and Data Science, Alexandria University, Alexandria, Egypt.

Source: Scientific reports [Sci Rep] 2025 Nov 04; Vol. 15 (1), pp. 38479. Date of Electronic Publication: 2025 Nov 04.

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: Algorithms* , Cyberbullying* , Language*, Humans ; Social Media ; Genetic Algorithms

A personalized federated learning-based glucose prediction algorithm for high-risk glycemic excursion regions in type 1 diabetes.

Authors: Darpit D; Department of Industrial and Systems Engineering, Texas A&M University, College Station, USA.; Department of Biomedical Engineering, Purdue University, West Lafayette, USA., Vyas K; Department of Computer Science and Engineering, Texas A&M University, College Station, USA., Jayagopal JK; Department of Computer Science and Engineering, Texas A&M University, College Station, USA., Garcia A; Department of Industrial and Systems Engineering, Texas A&M University, College Station, USA., Erraguntla M; Department of Industrial and Systems Engineering, Texas A&M University, College Station, USA., Lawley M; Department of Industrial and Systems Engineering, Texas A&M University, College Station, USA. malawley@tamu.edu.

Source: Scientific reports [Sci Rep] 2025 Nov 03; Vol. 15 (1), pp. 38376. Date of Electronic Publication: 2025 Nov 03.

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: Blood Glucose*/analysis , Diabetes Mellitus, Type 1*/blood , Algorithms* , Machine Learning* , Blood Glucose Self-Monitoring*/methods, Humans ; Hypoglycemia/blood ; Hypoglycemia/diagnosis ; Female ; Hyperglycemia/diagnosis ; Hyperglycemia/blood ; Male ; Adult ; Prediction Algorithms ; Federated Learning

SCI-YOLO11: An improved defect detection algorithm for transmission line insulators based on YOLO11.

Authors: Wang J; Xijing University, Xi'an, Shaanxi, China., Wang Y; Graduate Office, Xijing University, Xi'an, Shaanxi, China., Li X; Xijing University, Xi'an, Shaanxi, China., Yuan B; Xi'an Key Laboratory of High Precision Industrial Intelligent Vision Measurement Technology, Xijing University, Xi'an, Shaanxi, China., Wang M; North China Electric Power University, Baoding, China.

Source: PloS one [PLoS One] 2025 Oct 29; Vol. 20 (10), pp. e0322561. Date of Electronic Publication: 2025 Oct 29 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Algorithms* , Image Processing, Computer-Assisted*/methods, Detection Algorithms

Improved peaks automatic detection algorithm of noisy quasi-periodic physiological signals.

Authors: Chou YX; Department of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, People's Republic of China., Chou LJ; Department of Mechatronics Engineering, Huaian Senior Vocational & Technical School, Huaian, People's Republic of China., Gu SH; Department of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, People's Republic of China., Yang HP; Department of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, People's Republic of China., Liu JC; Department of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, People's Republic of China., Feng Y; Department of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, People's Republic of China.; Department of College of Physics and Electronic Engineering, Northeast Petroleum University, Daqing, People's Republic of China.

Source: Biomedical physics & engineering express [Biomed Phys Eng Express] 2025 Oct 27; Vol. 11 (6). Date of Electronic Publication: 2025 Oct 27.

Publication Type: Journal Article

Journal Info: Publisher: IOP Publishing Ltd Country of Publication: England NLM ID: 101675002 Publication Model: Electronic Cited Medium: Internet ISSN: 2057-1976 (Electronic) Linking ISSN: 20571976 NLM ISO Abbreviation: Biomed Phys Eng Express Subsets: MEDLINE

MeSH Terms: Algorithms* , Signal Processing, Computer-Assisted*, Signal-To-Noise Ratio ; Humans ; Electrocardiography ; Computer Simulation ; Detection Algorithms

[A study on heart sound classification algorithm based on improved Mel-frequency cepstrum coefficient feature extraction and deep Transformer].

Authors: Meng X; School of Opto-Electronic Information & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, P. R. China., Zhang S; School of Opto-Electronic Information & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, P. R. China.

Source: Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi [Sheng Wu Yi Xue Gong Cheng Xue Za Zhi] 2025 Oct 25; Vol. 42 (5), pp. 1012-1020.

Publication Type: English Abstract; Journal Article

Journal Info: Publisher: Sichuan Sheng sheng wu yi xue gong cheng xue hui Country of Publication: China NLM ID: 9426398 Publication Model: Print Cited Medium: Print ISSN: 1001-5515 (Print) Linking ISSN: 10015515 NLM ISO Abbreviation: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi Subsets: MEDLINE

MeSH Terms: Heart Sounds*/physiology , Algorithms* , Neural Networks, Computer* , Signal Processing, Computer-Assisted*, Humans ; Deep Learning ; Cardiovascular Diseases/diagnosis ; Classification Algorithms