Artificial Intelligence Medical Compendium

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

Showing 12,191 to 12,200 of 210,314 articles

Biomedical Large Language Models and Prompt Engineering for Causality Assessment of Individual Case Safety Reports in Pharmacovigilance.

Pharmaceutical research
BACKGROUND: Biomedical Large Language Models (LLMs) combined with prompt engineering offer domain-specific reasoning, yet their application to individual-level causality assessment remains unexplored. This study evaluated five combinations of biomedi... read more 

Deep learning in the diagnosis, staging, and prognosis of osteonecrosis of the femoral head: a systematic review.

BMC musculoskeletal disorders
BACKGROUND: Osteonecrosis of the femoral head (ONFH) is a progressive ischemic bone disorder that often leads to structural collapse and early arthroplasty in adults. Early detection and accurate staging are essential for joint-preserving management.... read more 

High-fidelity three-dimensional reconstruction of musculoskeletal tissues via diffusion based ultrasonic computed tomography.

Medical image analysis
Compared with computed tomography (CT) and magnetic resonance imaging (MRI), traditional ultrasound imaging suffers from limited spatial resolution, poor contrast and restricted field of view. While offering significant improvements in imaging qualit... read more 

High-throughput design of defined microbial consortia for crop protection.

Annals of botany
BACKGROUND: Synthetic microbial communities (SynComs) are changing the mechanism of crop protection that ensures global sustainability in agricultural system. This review covers design principles of top-down and bottom-up strategies, demonstrating ho... read more 

Predicting Autopsy-Confirmed Neuropathology across Clinical, Neuroimaging, and CSF Biomarkers using Machine Learning

bioRxiv
Accurate in vivo prediction of neuropathology is critical for advancing diagnosis and treatment of Alzheimer's disease and related dementias (ADRDs). As many individuals with ADRDs have mixed pathologies ({beta}-amyloid, pathologic tau, cerebrovascul... read more 

Does the sequence of a disordered protein encode small molecule binding paths?

bioRxiv
Ligand binding to intrinsically disordered proteins resists description in terms of conventional binding pockets, yet it can be analysed as a dynamic process in which ligands move across transient surface interaction sites. Here we characterise a pat... read more 

Large language model inference of macromolecular complex composition via model consensus and experimental data integration

bioRxiv
Large language models (LLMs) are poised to reshape how biologists retrieve specialized knowledge at scale. Yet their performance on deep, domain-specific queries is poorly defined because much biological information resides in structured databases or... read more 

Protein-level prediction of Klebsiella phage adsorption identifies conserved receptor-binding motifs.

bioRxiv
Bacteriophage therapy offers a potential route to treat antibiotic-resistant Klebsiella pneumoniae infections, but its use is limited by the narrow specificity of phage-host interactions. In Klebsiella, adsorption is largely determined by receptor-bi... read more 

AE-PocketMiner Uses Attention to Simultaneously Predict Cryptic Pockets and Their Allosteric Coupling

bioRxiv
Finding and targeting cryptic pockets could dramatically expand the druggable proteome. However, discovering these sites remains challenging since they are only open a fraction of the time. It is also difficult to predict the functional relevance of ... read more 

OpenSplice: the impact of half a million mutations on the alternative splicing of 600 human exons

bioRxiv
Alternative splicing of mRNA precursors is an important step in gene regulation and a major mechanism by which genetic variants cause human disease. However, changes in splicing have only been quantified for a tiny fraction of possible variants in th... read more