Artificial Intelligence Medical Compendium

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

Showing 42,211 to 42,220 of 223,853 articles

A DNA foundation model predicts osteoporosis risk genes without proximity bias

bioRxiv
Targets supported by human genetic associations are more than twice as likely to progress from clinical development to approval. Genome-wide association studies are the largest source of genetic evidence for disease risk but linking non-coding varian... read more 

Detecting and Subtyping Ketoacidosis from Metabolomic Patterns in Forensic Casework

bioRxiv
Subtyping of ketoacidosis, a metabolic state characterized by blood acidification due to various causes, remains challenging in forensic casework. Postmortem omics samples paired with machine learning offers an independent tool to address this challe... read more 

mnDINO: Accurate and robust segmentation of micronuclei with vision transformer networks

bioRxiv
Recent advances in cell segmentation successfully produce models that generalize across various cell-lines and imaging types. However, these methods still fail to recognize subcellular structures such as micronuclei (MN), which are rare and tiny DNA-... read more 

Rational Design of Selective IL-2-based Activators for CAR T Cells Using AlphaFold3 and Physics-Informed Machine Learning

bioRxiv
Recombinant human Interleukin-2 (rhIL-2, Aldesleukin) is used in immunotherapy for metastatic melanoma and renal cell carcinoma. Low-dose IL-2 has been investigated for administration after adoptive T cell transfer to enhance CAR T expansion and sust... read more 

Automated morphometry and weight prediction of juvenile Chinook Salmon leveraging open-source deep learning models

bioRxiv
Minimizing handling of threatened and endangered fish has become increasingly important as populations have dwindled. To minimize handling in morphometric measurements, the HandsFreeFishing program has been developed for juvenile Chinook Salmon (Onco... read more 

HitAnno: Atlas-level cell type annotation based on scATAC-seq data via a hierarchical language model

bioRxiv
The single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) has emerged as a core technology for dissecting cellular epigenomic heterogeneity and gene regulatory programs. With the emergence of atlas-level scATAC-seq data... read more 

GCN-Mamba: Graph Convolutional Network with Mamba for Antibacterial Synergy Prediction

bioRxiv
The escalating crisis of antimicrobial resistance necessitates novel therapeutic strategies, among which drug combination therapy shows great promise by enhancing efficacy and reducing toxicity. However, identifying effective synergistic pairs from t... read more 

Benchmarking zero-shot single-cell foundation model embeddings for cellular dynamics reconstruction

bioRxiv
Reconstructing cellular trajectories from time-resolved single-cell transcriptomics is fundamental to understanding processes from embryonic development to cancer progression. While single-cell foundation models (scFMs) promise universal biological r... read more 

Fleming: An AI Agent for Antibiotic Discovery in Mycobacterium Tuberculosis

bioRxiv
Antibiotic development is challenged by high costs and failure rates. Artificial intelligence (AI) holds promise to overcome these challenges by predicting inhibitory properties of novel compounds, generating new candidates, and contextualizing prope... read more 

Genomic streamlining of seagrass-associated Colletotrichum sp. may be related to its adaptation to a marine monocot host

bioRxiv
Colletotrichum spp. have a complicated history of association with land plants. Perhaps most well-known as plant pathogens for the devastating effect they can have on agricultural crops, some Colletotrichum spp. have been reported as beneficial plant... read more