Artificial Intelligence Medical Compendium

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

Showing 1,241 to 1,250 of 213,401 articles

Mechanistic study on comorbidities of kidney stones and sepsis using transcriptome sequencing combined with single-cell spatial transcriptome sequencing.

Medicine
Kidney stones and sepsis have a complex pathological association. Urinary obstruction and infection caused by kidney stones can easily induce sepsis, leading to increased mortality and poor prognosis. However, the molecular mechanism underlying their... read more 

A Glycan-Aware Diffusion Model for Carbohydrate and Glycoprotein Structure Prediction

bioRxiv
Biomolecular diffusion models can now predict proteins and heterogeneous complexes, but glycans remain difficult because their branched topology, conformational flexibility, and strict stereochemical rules must be captured simultaneously. We develope... read more 

Coupled Cell-Intrinsic and Microenvironmental Heterogeneity Drives Divergent Trajectories in Castration-Resistant Prostate Cancer

bioRxiv
Castration-resistant prostate cancer emerges from coupling between cell-intrinsic heterogeneity and microenvironmental constraints. Mechanistically dissecting this coupling, rather than either factor in isolation, is the central aim of this study. To... read more 

Assessing the Role of Marker Density and Minor Allele Frequency on Machine Learning Driven Genomic Selection Accuracy in Grapevine

bioRxiv
Although grapevine (Vitis spp.) is among the oldest and most economically significant fruit species globally, its genetic improvement faces major bottlenecks due to long juvenile periods and extended cycles for phenotypic evaluation. In this context,... read more 

BeeMonitor: Automated IoT video surveillance and an AI-powered video processing system for monitoring the foraging and nesting behavior of cavity-nesting solitary bees

bioRxiv
Solitary bee species that use artificial trap nests are important for agricultural crop production and as indicators of habitat quality. Quantifying cavity-nesting solitary bee foraging and nesting behavior is essential for real-time analysis of popu... read more 

A hybrid approach combining a phylogenetic method and Approximate Bayesian Computation Random Forest for phylogenetic network inference: application to the rice domestication process in Asia

bioRxiv
Asian rice is one of the best documented crops in terms of genetic diversity. The domestication process, that probably started 9000 years ago in China, remains difficult to infer since the main vertical signal is blurred by horizontal signals related... read more 

Decoding the oxytocinergic and behavioral signatures of milk ejection

bioRxiv
Oxytocin-mediated milk ejection (ME) is pivotal to effective breastfeeding and productive health, yet behaviorally decoding and revealing neural mechanisms of ME remains challenging. Here, we combined in vivo calcium imaging and intramammary pressure... read more 

Multiscale learning and topological analysis across complex postures enable robust nematode size quantification in pharmacological assays

bioRxiv
Body size is an important trait that reflects animal development and physiology. In nematodes, precise measurement is valuable for linking variation in body dimensions to biological questions such as developmental timing, genetic regulation, and drug... read more 

SemVac: A Semantic Vaccinology Paradigm Powered by LLMs for Antigen Discovery

bioRxiv
Reverse vaccinology has enabled sequence-based antigen discovery, but it overlooks the rich semantic knowledge embedded in the biomedical literature. Here we establish Semantic Vaccinology (SemVac), a paradigm that leverages large language models (LL... read more 

Public evaluations of AI-mediated healthcare when considering people with diverse access and support needs: a mixed-methods survey.

International journal of medical informatics
BACKGROUND: Artificial intelligence (AI) is increasingly being introduced into healthcare, including patient communication, monitoring, triage, decision support, and care-related services. Accessibility is central to these developments, particularly ... read more