AIMC Topic:
Middle Aged
Clear Filters Showing 1281 to 1290 of 14061 articles
SERPINA3: A Novel Therapeutic Target for Diabetes-Related Cognitive Impairment Identified Through Integrated Machine Learning and Molecular Docking Analysis.
International journal of molecular sciences
Feb 24, 2025
Diabetes-related cognitive impairment (DCI) is a severe complication of type 2 diabetes mellitus (T2DM), with limited understanding of its molecular mechanisms hindering effective therapeutic development. This study identified SERPINA3 as a potential...
Development of a Machine Learning-Powered Optimized Lung Allocation System for Maximum Benefits in Lung Transplantation: A Korean National Data.
Journal of Korean medical science
Feb 24, 2025
BACKGROUND: An ideal lung allocation system should reduce waiting list deaths, improve transplant survival, and ensure equitable organ allocation. This study aimed to develop a novel lung allocation score (LAS) system, the MaxBenefit LAS, to maximize...
Machine learning-based prediction model for patients with recurrent Staphylococcus aureus bacteremia.
BMC medical informatics and decision making
Feb 24, 2025
BACKGROUND: Staphylococcus aureus bacteremia (SAB) remains a significant contributor to both community-acquired and healthcare-associated bloodstream infections. SAB exhibits a high recurrence rate and mortality rate, leading to numerous clinical tre...
Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicity.
Scientific reports
Feb 24, 2025
In this retrospective observational study, we aimed to investigate the potential of natural language processing (NLP) for drug repositioning by analyzing the preventive effects of cardioprotective drugs against anthracycline-induced cardiotoxicity (A...
Electronic Health Records
Female
Aged
Adult
Male
Middle Aged
Drug Repositioning
Natural Language Processing
Humans
Retrospective Studies
Cardiotonic Agents
Calcium Channel Blockers
Cardiotoxicity
Hydroxymethylglutaryl-CoA Reductase Inhibitors
Anthracyclines
Angiotensin Receptor Antagonists
Adrenergic beta-Antagonists
Angiotensin-Converting Enzyme Inhibitors
How adaptive social robots influence cognitive, emotional, and self-regulated learning.
Scientific reports
Feb 24, 2025
As educational environments become more diverse, adaptive technologies like social robots hold promise for providing individual support to learners. This study investigated the role of adaptive teaching of a robot on students' learning outcomes, emot...
Validation of a machine learning model for indirect screening of suicidal ideation in the general population.
Scientific reports
Feb 24, 2025
Suicide is among the leading causes of death worldwide and a concerning public health problem, accounting for over 700,000 registered deaths worldwide. However, suicide deaths are preventable with timely and evidence-based interventions, which are of...
An assessment of machine learning methods to quantify blood lactate from neutrophils phagocytic activity.
Scientific reports
Feb 24, 2025
Phagocytosis is a critical component of innate immunity that helps the body defend itself against infection, foreign particles, and cellular debris. Investigating and quantifying phagocytosis can help understand how the immune system identifies forei...
The Feasibility of Large Language Models in Verbal Comprehension Assessment: Mixed Methods Feasibility Study.
JMIR formative research
Feb 24, 2025
BACKGROUND: Cognitive assessment is an important component of applied psychology, but limited access and high costs make these evaluations challenging.
Identifying Patient-Reported Care Experiences in Free-Text Survey Comments: Topic Modeling Study.
JMIR medical informatics
Feb 24, 2025
BACKGROUND: Patient-reported experience surveys allow administrators, clinicians, and researchers to quantify and improve health care by receiving feedback directly from patients. Existing research has focused primarily on quantitative analysis of su...
Predictive modeling with linear machine learning can estimate glioblastoma survival in months based solely on MGMT-methylation status, age and sex.
Acta neurochirurgica
Feb 24, 2025
PURPOSE: Machine Learning (ML) has become an essential tool for analyzing biomedical data, facilitating the prediction of treatment outcomes and patient survival. However, the effectiveness of ML models heavily relies on both the choice of algorithms...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30140
- Neural Networks, Computer 29282
- Algorithms 26270
- Deep Learning 25792
- Artificial Intelligence 23822
- Robotics 13268
- Image Processing, Computer-Assisted 9276
- Retrospective Studies 8835
- Magnetic Resonance Imaging 5976
- Reproducibility of Results 5499
- Tomography, X-Ray Computed 4622
- Support Vector Machine 4609
- Computational Biology 4126
- Brain 3919
- Computer Simulation 3823
Recent Journals
- Scientific reports 5092
- Sensors (Basel, Switzerland) 4729
- PloS one 3884
- Neural networks : the official journal of the International Neural Network Society 2842
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1779
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1224
- IEEE journal of biomedical and health informatics 1081
- Journal of chemical information and modeling 934
- Nature communications 854
- Briefings in bioinformatics 849
- Bioinformatics (Oxford, England) 847
- Computer methods and programs in biomedicine 844
- IEEE transactions on neural networks and learning systems 780