Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 5,321 to 5,330 of 174,574 articles

Predicting cancer risk using machine learning on lifestyle and genetic data.

Scientific reports Aug 19, 2025
Cancer remains one of the leading causes of mortality worldwide, where early detection significantly improves patient outcomes and reduces treatment burden. This study investigates the application of Machine Learning (ML) techniques to predict cancer... read more 
Middle Aged Risk Assessment Neoplasms Adult Male Genetic Predisposition to Disease Support Vector Machine Life Style Humans Machine Learning Algorithms Female Risk Factors Aged

A high-resolution, nanopore-based artificial intelligence assay for DNA replication stress in human cancer cells.

Nature communications Aug 19, 2025
DNA replication stress is a hallmark of cancer that is exploited by chemotherapies. Current assays for replication stress have low throughput and poor resolution whilst being unable to map the movement of replication forks genome-wide. We present a n... read more 
Humans Artificial Intelligence Melanoma S Phase Cell Cycle Proteins Poly (ADP-Ribose) Polymerase-1 Hydroxyurea Nanopores DNA Replication Nanopore Sequencing Protein-Tyrosine Kinases Colonic Neoplasms Ataxia Telangiectasia Mutated Proteins Neoplasms Cell Line, Tumor

Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations.

Scientific reports Aug 19, 2025
Sepsis is a condition resulting from the uncontrolled immune response to infection, leading to widespread inflammatory damage and potentially fatal organ dysfunction. Currently, there is a lack of specific prevention and treatment strategies for seps... read more 
Computational Biology Apoptosis Cell Death Child, Preschool Child Infant, Newborn Infant Machine Learning Adult Biomarkers Humans Gene Expression Profiling Male Female Sepsis

Metabolomics and nutrient intake reveal metabolite-nutrient interactions in metabolic syndrome: insights from the Korean Genome and Epidemiology Study.

Nutrition journal Aug 19, 2025
BACKGROUND: Despite advances in metabolomics, the complex relationship between metabolites and nutrient intake in metabolic syndrome (MetS) remains poorly understood in the Korean population. read more 
Metabolomics Humans Nutrients Republic of Korea Female Adult Diet Cohort Studies Male Metabolic Syndrome Middle Aged

Targeting everyday decision makers in research: early career researcher and patient and public involvement and engagement collaboration in an AI-in-healthcare project.

Research involvement and engagement Aug 19, 2025
Patient and Public Involvement and Engagement (PPIE) is critical in the development and application of Artificial Intelligence (AI) in healthcare research to ensure that outcomes align with patients' and the public's needs. However, current PPIE prac... read more 

Comparative analysis of machine learning models for detecting water quality anomalies in treatment plants.

Scientific reports Aug 19, 2025
Water is one of the most critical and finite resources on our planet. As the demand for freshwater continues to grow, effectively managing and purifying existing water sources becomes increasingly important. This study introduces a Machine learning-b... read more 

Acceptance of AI-Powered Chatbots Among Physiotherapy Students: International Cross-Sectional Study.

JMIR medical education Aug 19, 2025
BACKGROUND: Artificial intelligence-powered chatbots (AI-PCs) are increasingly integrated into educational settings, including health care disciplines. Despite their potential to enhance learning, limited research has investigated physiotherapy (PT) ... read more 
Physical Therapy Specialty Cross-Sectional Studies Female Students, Health Occupations Humans Male Young Adult Students Artificial Intelligence Surveys and Questionnaires Adult Generative Artificial Intelligence

A machine learning approach to predict self-efficacy in breast cancer survivors.

BMC medical informatics and decision making Aug 19, 2025
PURPOSE: To determine predictors of self-efficacy in breast cancer survivors and identify vulnerable groups. read more 
Aged Adult Breast Neoplasms Middle Aged Self Efficacy Turkey Cancer Survivors Humans Machine Learning Female

The chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning.

Nature communications Aug 19, 2025
Many genome-wide studies capture isolated moments in cell differentiation or organismal development. Conversely, longitudinal studies provide a more direct way to study these kinetic processes. Here, we present an approach for modeling gene-expressio... read more 
Machine Learning Brain Animals Neural Networks, Computer Models, Genetic Kinetics Chromatin Single-Cell Analysis Mice Multiomics

Bioinformatics and Experimental Validation of Diagnostic Marker Genes for Myocardial Infarction and Analysis of Their Immune Cell Infiltration.

Biochemical genetics Aug 19, 2025
This study aimed to identify diagnostic marker genes for myocardial infarction (MI) and analyzed the key genes pertaining to immune cell infiltration. The MI expression microarrays GSE48060 and GSE66360 were retrieved and downloaded from the GEO data... read more 
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