Artificial Intelligence Medical Compendium

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

Showing 19,011 to 19,020 of 214,800 articles

STOMAPY: Artificial Intelligence for Risk Stratification of Outcomes Requiring Enterostomal Therapy After Hospital Discharge Following Colorectal Surgery

medRxiv
Introduction: Infectious and wound-healing complications after colorectal surgery often increase the complexity of local care and the need for specialized enterostomal therapy follow-up after hospital discharge. Despite the growing use of predictive ... read more 

Mechanistic Dissection of Conformational Transition of Bicyclic Peptide via Molecular Modeling and Deep Learning

bioRxiv
Molecular conformations play a critical role in determining molecular properties, such as membrane permeability, binding affinity, and ultimately therapeutic efficacy. Experimental and computational approaches can characterize conformations and provi... read more 

Integration of immunomonitoring assays with PET/CT in TB patients identifies on-treatment biomarkers

bioRxiv
Tuberculosis (TB) continues to pose a significant global public health challenge with substantial morbidity and mortality. Current TB biomarkers lack sufficient resolution to inform treatment response and patient stratification. We previously demonst... read more 

MethylCurate: Tool For Dataset Curation and Epigenetic Aging Clock Evaluation

bioRxiv
SummaryDNA methylation datasets from public repositories such as NCBI Gene Expression Omnibus are central to the development and evaluation of epigenetic aging clocks, yet existing resources and tools do not fully resolve the bottlenecks of dataset r... read more 

Fiber dispersion in the right ventricle: A comparison of constitutive neural network predictions with experimental data

bioRxiv
The mechanical behavior of right ventricular (RV) myocardium is governed by its anisotropic microstructure, yet constitutive models that account for fiber dispersion and enable reliable parameter identification remain limited. In this study, we propo... read more 

PXN Unlocks the Power of Public Gene Expression Data Through Cross-Technology Integration

bioRxiv
The immense value of public gene expression repositories is constrained by the lack of compatibility among datasets generated from diverse experimental technologies. Differences in measurement scales, probe chemistries, and signal distributions creat... read more 

Anatomy-Guided 3D Graph Networks for Couinaud Segmentation in Tumor Affected Livers

bioRxiv
Abstract: Image-based liver Couinaud segmentation is designed to automatically provide the locations of suspicious objects in liver CT/MR images. Once achieved, the physicians will be guided to the target slice and area where the suspicious node is l... read more 

Using Deep Learning Models of Gene Regulation to Guide Drug Prioritization

bioRxiv
Drug repurposing offers a cost-effective strategy to accelerate therapeutic discovery, but most computational approaches fail to model noncoding genetic variation. Because over 90% of genome-wide association study (GWAS) risk variants reside in nonco... read more 

A biologically-grounded cerebellar spiking network model with realistic synaptic transmission captures complex circuit dynamics.

bioRxiv
Cerebellar neural circuit dynamics rely on a rich repertoire of synaptic and excitability mechanisms, which are thought to determine network computation in physiological and pathological conditions. In this work, we develop and validate a biologicall... read more 

End-to-end mapping of membrane transport from chemical structure to microorganisms

bioRxiv
Membrane transport is a fundamental biological process with profound implications for pharmacology, biotechnology, and microbiology. While computational approaches have largely adopted a protein-centric perspective to annotate transportomes, inferrin... read more