Variable selection for clinical prediction models in low-dimensional data - a simulation study comparing traditional regression and machine learning methods.

Συγγραφείς: Vey JA; Institute of Medical Biometry, University of Heidelberg, Im Neuenheimer Feld 130.3, Heidelberg, 69120, Germany. vey@imbi.uni-heidelberg.de., Heinze G; Institute of Clinical Biometrics, Center for Medical Data Science, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria., Kieser M; Institute of Medical Biometry, University of Heidelberg, Im Neuenheimer Feld 130.3, Heidelberg, 69120, Germany.

Πηγή: BMC medical research methodology [BMC Med Res Methodol] 2026 Jul 07; Vol. 26 (1). Date of Electronic Publication: 2026 Jul 07.

Τύπος έκδοσης: Journal Article; Comparative Study

Στοιχεία περιοδικού: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Machine Learning* , Computer Simulation*, Humans ; Predictive Learning Models ; Prediction Algorithms ; Boosting Machine Learning Algorithms ; Linear Models ; Random Forest ; Regression Analysis ; Algorithms ; Soft Computing

System Design of Computer Simulation Environment based on Deep Learning Algorithm

Συγγραφείς: Chi, Jiaqi, Wang, Wenchao

Πηγή: 2024 International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC) Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC), 2024 International Conference on. :1-5 Sep, 2024

Relation: 2024 International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC)

Design and Implementation of Cross-border E-commerce Risk Control System Based on Machine Learning Algorithm and Computer Simulation

Συγγραφείς: Liu, Yang, Lei, Fei, Huangcheng, Wenbo

Πηγή: Proceedings of the 2024 7th International Conference on Computer Information Science and Artificial Intelligence. :179-184

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3703187.3703217

Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning

Συγγραφείς: Wu, P., Shi, Y., Zhao, P., Gu, Z.

Πηγή: IEEE Access Access, IEEE. 13:130796-130815 2025

Machine Learning and Computer Simulation Disentangle the Fuzzy Inhibitor Binding by Hsp90

Συγγραφείς: Sahil, Mohammad, Koneru, Jaya Krishna, Mondal, Jagannath

Πηγή: Journal of Chemical Theory and Computation. 22(4):2043-2058

Διαθεσιμότητα: https://pubs.acs.org/doi/10.1021/acs.jctc.5c02056

A machine learning surrogate model for fast approximation of simulated microwave ablation zones.

Συγγραφείς: Karkanis N; Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece., Samaras T; Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Πηγή: Biomedical physics & engineering express [Biomed Phys Eng Express] 2026 Jun 01; Vol. 12 (3). Date of Electronic Publication: 2026 Jun 01.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: 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

Ιατρικοί όροι (MeSH): Microwaves*/therapeutic use , Ablation Techniques*/methods , Machine Learning* , Computer Simulation*, Finite Element Analysis ; Humans ; Liver Neoplasms ; Neural Networks, Computer ; Algorithms

A Survey on Hybrid Modelling using Data Science Techniques and Computer Simulation

Συγγραφείς: Fakhimi, Masoud, Feldkamp, Niclas, Mustafee, Navonil

Πηγή: ACM Transactions on Modeling and Computer Simulation. 36(3):1-32

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3811538

Computational Frontiers in Arteriovenous Fistula Maturation: A Review of Fluid Dynamics and Machine Learning Models.

Συγγραφείς: Nowacki A; Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas., Ramirez-Mireles L; Department of Physics, Rice University, Houston, Texas., Barcena AJR; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas., Marks AE; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.; The University of Texas MD Anderson Cancer Center, Graduate School of Biomedical Sciences, UTHealth Houston, Houston, Texas., Huang SY; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas., Castillo E; Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas., Melancon MP; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.; The University of Texas MD Anderson Cancer Center, Graduate School of Biomedical Sciences, UTHealth Houston, Houston, Texas.

Πηγή: Journal of the American Society of Nephrology : JASN [J Am Soc Nephrol] 2026 Jul 01; Vol. 37 (7), pp. 1580-1598. Date of Electronic Publication: 2026 Apr 17.

Τύπος έκδοσης: Journal Article; Review

Στοιχεία περιοδικού: Publisher: Wolters Kluwer Health, on behalf of the American Society of Nephrology Country of Publication: United States NLM ID: 9013836 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1533-3450 (Electronic) Linking ISSN: 10466673 NLM ISO Abbreviation: J Am Soc Nephrol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Machine Learning* , Arteriovenous Shunt, Surgical* , Hydrodynamics* , Renal Dialysis* , Computer Simulation*, Humans ; Hemodynamics ; Predictive Learning Models

Performance evaluation and personalized electric field prediction of the deep H1 coil in the human brain based on simulation and machine learning.

Συγγραφείς: Tan X; School of Information Science and Engineering, Yanshan University, Qinhuangdao, China., Guo A; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China., Wang Y; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China., Tian J; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China., Shi J; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China., Li Y; School of Information Science and Engineering, Yanshan University, Qinhuangdao, China.; Hebei Key Laboratory of Information Transmission and Signal Processing, Qinhuangdao, China.

Πηγή: Electromagnetic biology and medicine [Electromagn Biol Med] 2026; Vol. 45 (1), pp. 22-47. Date of Electronic Publication: 2025 Sep 23.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Informa Healthcare Country of Publication: England NLM ID: 101133002 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1536-8386 (Electronic) Linking ISSN: 15368386 NLM ISO Abbreviation: Electromagn Biol Med Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Brain*/physiology , Transcranial Magnetic Stimulation*/instrumentation , Machine Learning* , Electricity* , Computer Simulation*, Humans

Selecting synthetic data for successful simulation-based transfer learning in dynamical biological systems.

Συγγραφείς: Witzke S; Digital Engineering Faculty, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany., Zabbarov J; Digital Engineering Faculty, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany., Kleissl M; Digital Engineering Faculty, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany., Iversen P; Digital Engineering Faculty, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany.; Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany., Renard BY; Digital Engineering Faculty, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany., Baum K; Digital Engineering Faculty, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany. katharina.baum@fu-berlin.de.; Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany. katharina.baum@fu-berlin.de.

Πηγή: BMC bioinformatics [BMC Bioinformatics] 2026 May 18; Vol. 27 (1). Date of Electronic Publication: 2026 May 18.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Computer Simulation* , Models, Biological* , Systems Biology* , Machine Learning*

Computer Simulation Operating System for CNC Machine Tools Based on Deep Learning

Συγγραφείς: Cheng, Baoxin

Πηγή: 2022 International Conference on Education, Network and Information Technology (ICENIT) ICENIT Education, Network and Information Technology (ICENIT), 2022 International Conference on. :187-190 Sep, 2022

Relation: 2022 International Conference on Education, Network and Information Technology (ICENIT)

Integrating single-cell atlases and machine learning to construct 'in silico patients' for predicting individualized drug responses.

Συγγραφείς: Zuo Z; School of Life Science and Technology, Key Laboratory for Space Biosciences & Biotechnology, Institute of Special Environmental Biophysics, Research Center of Special Environmental Biomechanics and Medical Engineering, Engineering Research Center of Chinese Ministry of Education for Biological Diagnosis, Treatment and Protection Technology and Equipment, Northwestern Polytechnical University, Xi'an, Shaanxi Province 710072, China., Sun Y; School of Life Science and Technology, Key Laboratory for Space Biosciences & Biotechnology, Institute of Special Environmental Biophysics, Research Center of Special Environmental Biomechanics and Medical Engineering, Engineering Research Center of Chinese Ministry of Education for Biological Diagnosis, Treatment and Protection Technology and Equipment, Northwestern Polytechnical University, Xi'an, Shaanxi Province 710072, China. Electronic address: yulongsun@nwpu.edu.cn.

Πηγή: Biochemical pharmacology [Biochem Pharmacol] 2026 Jun; Vol. 248, pp. 117873. Date of Electronic Publication: 2026 Mar 06.

Τύπος έκδοσης: Journal Article; Review

Στοιχεία περιοδικού: Publisher: Elsevier Science Country of Publication: England NLM ID: 0101032 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2968 (Electronic) Linking ISSN: 00062952 NLM ISO Abbreviation: Biochem Pharmacol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Single-Cell Analysis*/methods , Neoplasms*/drug therapy , Neoplasms*/genetics , Neoplasms*/metabolism , Machine Learning*/trends , Precision Medicine*/methods , Precision Medicine*/trends , Antineoplastic Agents*/therapeutic use , Antineoplastic Agents*/pharmacology , Computer Simulation*, Tumor Microenvironment/drug effects ; Tumor Microenvironment/physiology ; Humans ; Animals ; Single-Cell Gene Expression Analysis

Simulation of CO2 flux in floating-leaf vegetation zones of Lake Taihu based on machine learning models.

Μεταγλωττισμένος Τίτλος: 基于机器学习模型的太湖浮叶植物区CO2通量模拟.

Συγγραφείς: Luo SJ; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., Zhang M; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., Jia L; Jiangsu Province Meteorological Observation Center, Nanjing 210044, China., Xiao W; Jiangsu Province Meteorological Observation Center, Nanjing 210044, China., Qiao H; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., Zhang SB; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., Shi J; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., Ge P; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., Yang FY; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., He Y; Liaoning Ecological Meteorology and Satellite Remote Sensing Center, Shenyang 110166, China.

Πηγή: Ying yong sheng tai xue bao = The journal of applied ecology [Ying Yong Sheng Tai Xue Bao] 2026 May; Vol. 37 (5), pp. 1651-1664.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Ying yong sheng tai xue bao bian ji wei yuan hui Country of Publication: China NLM ID: 9425159 Publication Model: Print Cited Medium: Print ISSN: 1001-9332 (Print) Linking ISSN: 10019332 NLM ISO Abbreviation: Ying Yong Sheng Tai Xue Bao Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Carbon Dioxide*/analysis , Plant Leaves*/metabolism , Lakes* , Machine Learning*, Environmental Monitoring/methods ; Random Forest ; China ; Long Short Term Memory ; Seasons ; Computer Simulation ; Support Vector Machine ; Neural Networks, Computer ; Models, Theoretical ; Predictive Learning Models ; Ecosystem

Integration of Computer Simulation and Bim in Water Conservancy Flood Control Simulation and Early Warning System

Συγγραφείς: Chang, Zekun

Πηγή: 2025 IEEE International Conference on Electronics, Energy Systems and Power Engineering (EESPE) Electronics, Energy Systems and Power Engineering (EESPE), 2025 IEEE International Conference on. :1740-1745 Mar, 2025

Relation: 2025 IEEE International Conference on Electronics, Energy Systems and Power Engineering (EESPE)

User perceptions of machine learning models as decision support for colorectal cancer multidisciplinary team conferences (AID-SIM-2): a qualitative simulation study.

Συγγραφείς: Bendix Bräuner K; Center for Surgical Sciences, Zealand University Hospital, Køge, Denmark ; Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark; Copenhagen University Hospital - North Zealand, Hillerød, Denmark; The Hospital of Mid and Western Zealand, Slagelse, Slagelse, Denmark. karob@regionsjaelland.dk., Bruun B; Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark., Bertelsen CA; Copenhagen University Hospital - North Zealand, Hillerød, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Johansen Dagenborg V; Department of Surgical Oncology, The Norwegian Radium Hospital, Oslo University Hospital, Nydalen., Safir-Hansen K; The Hospital of Mid and Western Zealand, Slagelse, Slagelse, Denmark., Sanko R; Charlie Tango, Copenhagen, Denmark., Gögenur I; Center for Surgical Sciences, Zealand University Hospital, Køge, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Konge L; Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Πηγή: Acta oncologica (Stockholm, Sweden) [Acta Oncol] 2026 Jul 31; Vol. 65, pp. 668-678. Date of Electronic Publication: 2026 Jul 31.

Τύπος έκδοσης: Journal Article; Multicenter Study

Στοιχεία περιοδικού: Publisher: Medical Journals Sweden AB Country of Publication: Sweden NLM ID: 8709065 Publication Model: Electronic Cited Medium: Internet ISSN: 1651-226X (Electronic) Linking ISSN: 0284186X NLM ISO Abbreviation: Acta Oncol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Colorectal Neoplasms*/therapy , Colorectal Neoplasms*/diagnosis , Patient Care Team*/organization & administration , Clinical Decision-Making*/methods , Machine Learning* , Decision Support Techniques* , Decision Support Systems, Clinical*, Humans ; Qualitative Research ; Predictive Learning Models ; Computer Simulation ; Female

Improving efficiency and stability of improved circular solar photovoltaic structures via multi-directional functionally graded materials: A computer simulation validated by hybrid machine learning algorithm and experimental datasets

Συγγραφείς: Han, Simeng ^a, Li, Jialing ^{b, ⁎}

Πηγή: In Materials Today Communications June 2025 46

Machine learning-based ground motion simulation for seismic hazard assessment of critical water infrastructure in Azerbaijan (Case study: Major Shamkir water reservoir).

Συγγραφείς: Babayev T; Department of Seismology and Seismic Hazard Assessment, Institute of Geology and Geophysics, Ministry of Science and Education, Baku, Azerbaijan., Babayev G; Department of Seismology and Seismic Hazard Assessment, Institute of Geology and Geophysics, Ministry of Science and Education, Baku, Azerbaijan., Bayramov E; Department of Geological Sciences, School of Mining and Geosciences, Nazarbayev University, Astana, Kazakhstan., Irawan S; Department of Petroleum Engineering, School of Mining and Geosciences, Nazarbayev University, Astana, Kazakhstan., Neafie J; Department of Political Science and International Relations, School of Sciences and Humanities, Nazarbayev University, Astana, Kazakhstan., Aliyeva S; School of Agricultural and Food Sciences, ADA University, Baku, Azerbaijan.

Πηγή: PloS one [PLoS One] 2026 Apr 01; Vol. 21 (4), pp. e0344984. Date of Electronic Publication: 2026 Apr 01 (Print Publication: 2026).

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: 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

Ιατρικοί όροι (MeSH): Machine Learning* , Earthquakes* , Water Supply*, Azerbaijan ; Neural Networks, Computer ; Random Forest ; Boosting Machine Learning Algorithms ; Predictive Learning Models ; Computer Simulation ; Prediction Algorithms ; Support Vector Machine

seq2ribo: structure-aware integration of machine learning and simulation to predict ribosome location profiles from RNA sequences.

Συγγραφείς: Kaynar G, Kingsford C

Πηγή: Bioinformatics (Oxford, England) [Bioinformatics] 2026 Jul 01; Vol. 42 (Supplement_1).

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Ribosomes*/metabolism , Ribosomes*/genetics , Computational Biology*/methods , Sequence Analysis, RNA*/methods , Machine Learning* , Software*, Ribosome Profiling/methods ; RNA, Messenger/genetics ; RNA, Messenger/chemistry ; Humans ; Computer Simulation

Enhancing pandemic surveillance and testing: a simulation modeling study utilizing german multicenter data with federated machine learning.

Συγγραφείς: Kempter S; Department of Technology, Management, and Economics, Technical University of Denmark, Akademivej 358, 2800, Kongens Lyngby, Denmark.; Center for Excellence in Healthcare Operations Planning, Next Generation Technology, Technical University of Denmark, Fælledvej 11, 4200, Slagelse, Denmark., Brunner JO; Department of Technology, Management, and Economics, Technical University of Denmark, Akademivej 358, 2800, Kongens Lyngby, Denmark. jotbr@dtu.dk.; Health Care Operations/Health Information Management, Faculty of Business and Economics, Faculty of Medicine, University of Augsburg, Universitätsstraße 16, 86159, Augsburg, Germany. jotbr@dtu.dk.; Center for Excellence in Healthcare Operations Planning, Next Generation Technology, Technical University of Denmark, Fælledvej 11, 4200, Slagelse, Denmark. jotbr@dtu.dk.; Faculty III - Economics, Business Informatics, Business Law, University of Siegen, Kohlbettstraße 15, 57072, Siegen, Germany. jotbr@dtu.dk., Hanses F; Department for Infection Control and Infectious Diseases, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany., Spinner C; TUM School of Medicine and Health, Department of Clinical Medicine, Clinical Departments for Internal Medicine II, University Medical Center, Technical University of Munich, Ismaninger Str. 22, 93053, Munich, Germany., Zabel LT; Laboratory Medicine, Alb Fils Kliniken GmbH, Eichertstraße 3, 73035, Göppingen, Germany., Römmele C; Clinic for Internal Medicine III - Gastroenterology and Infectious Diseases, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany., Borgmann S; Infectious Diseases and Infection Control, Ingolstadt Hospital, Krumenauerstraße 25, 85049, Ingolstadt, Germany., Vehreschild JJ; Department II of Internal Medicine, Hematology/Oncology, Goethe University, Theodor-Stern-Kai 7, 60590, Frankfurt, Germany., Bartenschlager CC; Anaesthesiology and Operative Intensive Care, University Hospital of Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany.; Applied Data Science in Health Care, Ohm University of Applied Sciences Nürnberg, Wassertorstraße 10, 90489, Nürnberg, Germany.

Πηγή: Health care management science [Health Care Manag Sci] 2026 Mar 14; Vol. 29 (1). Date of Electronic Publication: 2026 Mar 14.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Baltzer Science Publishers Country of Publication: Netherlands NLM ID: 9815649 Publication Model: Electronic Cited Medium: Internet ISSN: 1572-9389 (Electronic) Linking ISSN: 13869620 NLM ISO Abbreviation: Health Care Manag Sci Subsets: MEDLINE

Ιατρικοί όροι (MeSH): COVID-19*/diagnosis , Pneumonia, Viral*/diagnosis , Pneumonia, Viral*/epidemiology , Federated Learning* , Pandemics* , Machine Learning*, Germany/epidemiology ; Humans ; SARS-CoV-2 ; Computer Simulation ; COVID-19 Testing

In silico prediction of drug-induced cardiotoxicity with ensemble machine learning and structural pattern recognition.

Συγγραφείς: Li S; Shandong Engineering and Technology Research Center for Pediatric Drug Development, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China., Xu H; Shandong Engineering and Technology Research Center for Pediatric Drug Development, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China.; School of Pharmaceutical Sciences, Shandong University, Jinan, 250014, China., Liu F; Shandong Engineering and Technology Research Center for Pediatric Drug Development, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China., Ni R; Shandong Engineering and Technology Research Center for Pediatric Drug Development, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China., Shi Y; Shandong Engineering and Technology Research Center for Pediatric Drug Development, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China., Li X; Shandong Engineering and Technology Research Center for Pediatric Drug Development, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China. lixiao1688@163.com.

Πηγή: Molecular diversity [Mol Divers] 2026 Apr; Vol. 30 (2), pp. 1885-1896. Date of Electronic Publication: 2025 Jun 26.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: ESCOM Science Publishers Country of Publication: Netherlands NLM ID: 9516534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-501X (Electronic) Linking ISSN: 13811991 NLM ISO Abbreviation: Mol Divers Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Cardiotoxicity*/etiology , Machine Learning* , Computer Simulation*, Humans ; Drug-Related Side Effects and Adverse Reactions