Artificial Intelligence Medical Compendium

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

Showing 6,761 to 6,770 of 205,891 articles

Assessing and Optimizing Low-Frequency Somatic Mutation Detection: A Multi-Platform High-Throughput Sequencing Perspective

bioRxiv Jun 1, 2026
The availability of multiple commercial short-read sequencing platforms necessitates systematic cross-platform performance comparisons, particularly for challenging applications such as low-frequency somatic mutation detection. Here, a large-scale ta... read more 
bioinformatics

GeneKnow: AI-powered literature synthesis for gene-context analysis

bioRxiv Jun 1, 2026
Interpreting gene function in specific biological contexts is essential for biomedical research, yet manual literature review is labor-intensive. We developed GeneKnow, a source-grounded framework that uses generative AI models within a controlled hy... read more 
bioinformatics

UMITIC: An unsupervised framework for the joint characterization of cellular phenotypes and spatial neighborhoods in multiplex and hyperplex immunofluorescence imaging data

bioRxiv Jun 1, 2026
Multiplexed imaging technologies enable the simultaneous measurement of dozens of protein markers while preserving context, providing a high-resolution view of tissue organization schemes. However, extracting meaningful insights from these high-dimen... read more 
bioinformatics

Decoding Cognitive States from fMRI Using Classical Machine Learning and Temporal Dynamics Analysis: An Interpretable Approach Using the Human Connectome Project

bioRxiv Jun 1, 2026
We propose a rigorous and reproducible methodology for analyzing functional MRI data, aimed at: (1) demonstrate their efficiency in classifying task-induced brain states with a limited amount of data, (2) present a methodology to identify brain regio... read more 
neuroscience

Forecasting novel therapeutic development in biomedical research

bioRxiv Jun 1, 2026
Early identification of promising drug research topics is challenging yet crucial for the scientific community to accelerate the development of novel therapeutics. In this work, we leverage large-scale public data from the biomedical literature to ex... read more 
scientific communication and education

AI-Guided Structure-Aware Modeling and Thermal Proteomics Reveal Direct Demethylzeylasteral-ACLY Interaction

bioRxiv Jun 1, 2026
Identifying the direct molecular targets of bioactive natural products remains a central challenge in chemical biology. Here we present an integrated experimental-computational framework, that combines matrix-augmented thermal proteomics with HoloGNN... read more 
biochemistry

Artificial Intelligence in Intensive Care Nursing: Signal Amplification and Epistemic Blind Spots.

Nursing & health sciences Jun 1, 2026
read more 

Professional Ethics in Dietetics: A Global Document Analysis of Codes of Ethics and Conduct.

Journal of human nutrition and dietetics : the official journal of the British Dietetic Association Jun 1, 2026
BACKGROUND: As dietitians actively engage in sectors beyond healthcare, practitioners are expected to uphold ethical standards that reflect both individual conduct and the profession's social identity. The growing influence of digital technologies, s... read more 

Triglyceride-Glucose-Waist-to-Weight Index: Novel Biomarker for Mild Cognitive Impairment in Older People With Sarcopenic Obesity.

Journal of cachexia, sarcopenia and muscle Jun 1, 2026
BACKGROUND: Sarcopenic obesity (SO) is closely associated with mild cognitive impairment (MCI). However, traditional body composition-based diagnostic criteria for SO fail to adequately incorporate insulin resistance, a key pathophysiological mechani... read more 

Prediction of Cardiovascular Risk Using Machine Learning Based on Maximal Oxygen Consumption, Physical Fitness, and Anthropometry.

Clinical obesity Jun 1, 2026
Cardiovascular risk factors in adolescence, often persist into adulthood, with low cardiorespiratory fitness representing one of the strongest predictors of future cardiovascular disease. We aimed to classify cardiovascular risk associated with low c... read more 
Popular Topics
Recent Journals