Artificial Intelligence Medical Compendium

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

Showing 6,271 to 6,280 of 205,745 articles

Deciphering functional dark matter: Machine and deep learning-based processing of protein embeddings enables targeted function discoveries

bioRxiv
The ever-expanding catalogue of uncharacterized proteins - the so called functional dark matter - poses a major challenge for biotechnological and biomedical exploitation. Functional assessment of most proteins is hindered by the technical limitation... read more 

A Pan-Cancer Multi-Omic SuperLearner for Regulated Cell Death Survival Topologies

bioRxiv
Introduction: Regulated cell death (RCD) pathways profoundly influence tumor progression and immune modulation. In prior work, we constructed a comprehensive database mapping 25 forms of RCD across seven multi-omic layers encompassing 33 tumor types ... read more 

Bridging Ancestry Gaps in Genomic Risk Prediction with Tabular Foundation Models

bioRxiv
Motivation: Models deployed for genomic prediction of diseases perform unevenly across populations, limiting clinical utility. Two factors drive this limitation: large imbalances in sample availability across ancestry groups and non-stationarity of g... read more 

Hierarchical refinements of cis-regulatory inputs improve scalable gene expression prediction

bioRxiv
Deciphering the relationships between cis-regulatory elements (CREs) and target gene expression has long been a challenging problem in molecular biology. However, predicting gene expression from hundreds of candidate cis-regulatory elements (cCREs) r... read more 

Vermeer: Autoregressive generative modeling of microscopy predicts protein localization

bioRxiv
Fluorescent microscopy provides a rich view into how proteins localize within cells, but it remains experimentally infeasible to image human proteins across all of the different factors that can impact localization. We introduce Vermeer, a channel-ad... read more 

Multiplex Proteomics of Lewy Body Dementia Reveals Cerebrospinal Fluid Biomarkers of Clinical and Neuropathological Heterogeneity

bioRxiv
Lewy body dementia (LBD), which encompasses Parkinson's disease dementia (PDD) and Dementia with Lewy bodies (DLB), lacks established biofluid markers of its complex clinical and neuropathological heterogeneity. Multiplex proteomic tools, such as the... 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
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
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
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