Artificial Intelligence Medical Compendium

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

Showing 52,721 to 52,730 of 225,341 articles

Altered Baseline Brain Network Topology in High-Risk Individuals Progressing to Mild Cognitive Impairment

bioRxiv Feb 7, 2026
Background: Identifying early brain-based markers of cognitive decline is critical for preventive strategies in Alzheimer's disease. Individuals with a familial risk may exhibit subtle functional brain changes years before clinical symptoms emerge. T... read more 
neuroscience

Integrative Single-Cell Epigenomic Atlas Annotates the Regulatory Genome of the Adult Mouse Brain

bioRxiv Feb 7, 2026
Histone modifications underpin the cell-type-specific gene regulatory networks that drive the remarkable cellular heterogeneity of the adult mammalian brain. Here, we profiled four histone modifications jointly with transcriptome in 2.5 million nucle... read more 
genomics

Leveraging the wearable 1-lead ECG signal: From cardiac rhythm to cardiac function assessment

medRxiv Feb 7, 2026
The electrocardiogram (ECG) is a critical tool in the diagnosis and monitoring of cardiovascular disease. Although traditional 12-lead ECGs offer comprehensive insights into the electrical activity of the heart, they typically require clinical settin... read more 
cardiovascular medicine

Identification of Novel mRNA Biomarkers with Improved Performance for Colorectal Cancer Screening from a Multicenter Large Gene Screen

medRxiv Feb 7, 2026
Abstract Background: Colorectal cancer (CRC) is a leading cause of cancer mortality. While early detection improves outcomes, current non-invasive tests often lack sensitivity for early-stage CRC and advanced precancerous lesions (APL). Stool-based h... read more 
gastroenterology

Developing and Testing an Engineering Framework for Curiosity-Driven and Humble AI in Clinical Decision Support

medRxiv Feb 7, 2026
Background: We present BODHI (Balanced, Open-minded, Diagnostic, Humble, and Inquisitive), an engineering framework for curiosity-driven and humble clinical decision support AI. Despite growing capabilities, large language models (LLMs) often express... read more 
health informatics

Explainable Machine Learning Framework for Predicting Cardiometabolic Risk Using Meal Timing and Eating Habits

medRxiv Feb 7, 2026
Background- Eating timing and regularity represent new contributors to metabolic health, however, the time-based aspect of eating behavior is rarely incorporated into traditional cardiometabolic risk assessment strategies. Objectives- The aim of this... read more 
health informatics

Learning millisecond protein dynamics from what is missing in NMR spectra

bioRxiv Feb 7, 2026
Many proteins' biological functions rely on interconversions between multiple conformations occurring at micro- to millisecond (s-ms) timescales. A lack of standardized, large-scale experimental data has hindered obtaining a more predictive understan... read more 
biophysics

Characterizing yield through wheat's perception of chronological progression: a multi-omics plant-time warping approach

bioRxiv Feb 7, 2026
To address challenges in food security, a better understanding of crop performance under varying and changing environmental conditions is required. Plant Time Warping (PTW) is a deep learning model that integrates high-throughput field phenotyping da... read more 
genomics

Quantitative RNA pseudouridine landscape reveals dynamic modification patterns and evolutionary conservation across bacterial species

bioRxiv Feb 7, 2026
Pseudouridine ({Psi}) modifications are the most abundant RNA modifications; however, their distribution and functional significance in bacteria remain largely unexplored compared to eukaryotic systems. In this study, we present the first transcripto... read more 
microbiology

Evidence of an optimal error rate for motor skill learning

bioRxiv Feb 7, 2026
When acquiring a motor skill, learners must practice the skill at a difficulty that is challenging but still manageable to gradually improve their performance. In other words, during training, the learner must experience success as well as failure. D... read more 
neuroscience
Popular Topics
Recent Journals