Artificial Intelligence Medical Compendium

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

Showing 1,391 to 1,400 of 234,892 articles

Predicting Functional Diversity Within Enzyme Families: A Practical Perspective.

Chembiochem : a European journal of chemical biology
Machine learning has become an increasingly powerful tool in enzyme discovery, enabling the prediction of enzyme activity, substrate scope, and functional specificity across diverse protein families. However, many reported models rely on narrowly sam... read more 

Toward explainable traffic crash liability analysis via neural-symbolic multimodal reasoning: Integrating visual perception with legal knowledge graphs.

Accident; analysis and prevention
Determining traffic crash liability relies on rigorous on-site evidence and legal provisions and involves substantial manual intervention and potential human error. However, intelligent traffic monitoring systems focus on detection and tracking and c... read more 

In-laboratory polysomnography as the reference standard in sleep research: a bibliometric overview of human studies.

Clinics (Sao Paulo, Brazil)
BACKGROUND: In-laboratory attended Polysomnography (PSG) is the reference standard for objective sleep assessment. Although portable and wearable sleep technologies have advanced, the evolution of PSG research over the past decade has not been system... read more 

Prenatal fipronil sulfone exposure is associated with altered fetal liver-function biomarkers: Evidence integrating epidemiology, network toxicology, and molecular docking.

Ecotoxicology and environmental safety
Fipronil and its metabolites (FPM) are widely detected in environmental and biological matrices, but human evidence of developmental hepatotoxicity remains scarce. We quantified six fipronil-related compounds, five liver-function biomarkers, and four... read more 

Pleiotropic roles of microbial bile acid metabolism in intestinal health and diseases.

Cell host & microbe
Perturbation of microbial-derived bile acid (BA) metabolism is strongly linked to the pathogenesis of intestinal diseases, including inflammatory bowel disease, enteric infections, and colorectal cancer. Recent advances in artificial intelligence-ass... read more 

Deep learning uncovers hidden power of low-affinity motifs.

Cell genomics
Low-affinity transcription factor binding sites are functionally important but difficult to map and mechanistically poorly understood. In this issue of Cell Genomics, Weilert et al. leverage sequence-to-function deep learning models to systematically... read more 

A dataset of differentiable biologically derived single-neuron models.

Cell reports methods
Biological neural networks contain diverse cell types with heterogeneous electrophysiological properties. Artificial neural networks (ANNs) model computational aspects of biology but use homogeneous neurons, limiting realism. A key obstacle to buildi... read more 

CAR T cells from code to clinic: Framing modeling approaches with current translational research goals.

Cell systems
Chimeric antigen receptor (CAR) T cell therapy has transformed treatment of resistant cancers, yet it faces major limitations such as variable patient responses, relapse, and safety issues. Optimizing CAR T cell treatment regimens and genetic design ... read more 

Meeting Report: 39th International Conference on Antiviral Research in Prague, Czech Republic, April 27-May 1, 2026.

Antiviral research
The 39th International Conference on Antiviral Research (ICAR), hosted by the International Society for Antiviral Research (ISAR), took place April 27-May 1, 2026, at the Cubex Centrum Praha in Prague, Czech Republic. The annual meeting brought toget... read more 

Routine H&E Histology Encodes Postoperative Risk Heterogeneity in Resected Pancreatic Ductal Adenocarcinoma: A Multicohort Evaluation of TIGERS.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Patients with resected pancreatic ductal adenocarcinoma (PDAC) can have different outcomes despite similar TNM stage. We developed TIGERS (Tumor Intelligence Grading and Evaluation Risk Score), a nine-feature prognostic biomarker derived from routine... read more