Artificial Intelligence Medical Compendium

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

Showing 2,751 to 2,760 of 202,598 articles

ViTAMIn-O: Democratizing computer vision-based machine learning for stem cell research

bioRxiv Jun 3, 2026
Deep Learning (DL) holds exciting potential in automating the prediction of organoid differentiation results. Nevertheless, current models lack adaptability, openness, and robustness in performance. Additionally, broad employments of predictive model... read more 
bioinformatics

Integrating Histology with Spatial Molecular Programs Using a Multimodal Foundation Model

bioRxiv Jun 3, 2026
Histopathological assessment remains central to cancer diagnosis and stratification, yet its mechanistic interpretation remains limited without molecular context. To address this, we developed SQUALL, a multimodal foundation model integrating histolo... read more 
bioinformatics

Convergent genome- and gene-level constraints shape repeated environmental adaptation in grasses

bioRxiv Jun 3, 2026
Grasses (Poaceae) dominate terrestrial ecosystems and sustain global food security, yet the genomic principles enabling their repeated adaptation to extreme environments remain unresolved. Combining dense phylogenomic sampling, global environmental d... read more 
evolutionary biology

Spatiotemporal Decoding of Explore-Exploit Decisions in the Human Brain

bioRxiv Jun 3, 2026
Adaptive behavior requires flexibly shifting between exploiting familiar rewards and exploring novel opportunities. These explore-exploit decisions are implemented via a distributed brain network, anchored in frontopolar cortex (FPC) and ventromedial... read more 
neuroscience

Data-Efficient Exploration of Enzyme Function Using Family-Specific Machine Learning

bioRxiv Jun 3, 2026
Enzymes are essential biocatalysts across diverse industries, driving demand for high-performing variants. Foundation models are attractive for guiding enzyme discovery, but often lack the resolution to model subtle variations driving function within... read more 
bioengineering

AI and computer vision for wildlife identification in camera trap images: Fine-tuning SpeciesNet outperforms local models for species classification.

The Science of the total environment Jun 3, 2026
Wildlife camera traps generate millions of images that exceed the capacity of manual processing. Computer vision (CV), a branch of artificial intelligence (AI) and machine learning (ML), helps ecologists process images efficiently. The CV workflow ge... read more 

Diagnostic system for tebuthiuron soil ecotoxicity using morphophysiological indicators of Mucuna pruriens validated by Lactuca sativa.

Plant physiology and biochemistry : PPB Jun 3, 2026
This study developed an integrated diagnostic system for tebuthiuron-induced soil ecotoxicity based on morphophysiological indicators of Mucuna pruriens, using the germination index (GI) of Lactuca sativa as a sensitive ecotoxicological validation en... read more 

Single-cell-based analysis establishes C1QA-mediated promotion of high glucose-induced tubular epithelial injury via ERS in DN.

Gene Jun 3, 2026
BACKGROUND: Diabetic nephropathy (DN) poses a growing worldwide health challenge as a leading cause of end-stage renal disease, a condition that arises from a complex, poorly defined pathophysiology. Endoplasmic reticulum stress (ERS) is recognized a... read more 

Large Language Model Authorship in Ophthalmic Publications.

Ophthalmology Jun 3, 2026
PURPOSE: To assess for the likely presence of artificial intelligence (AI)-generated text in the published ophthalmology literature. METHODS: Abstract text from 27,142 research articles published in 22 journals between May 2020 and May 2025 were eval... read more 

Integrative Network Toxicology and Machine Learning Identify AKR1C3 as a Candidate Functional Target of Cypermethrin in Colorectal Cancer.

Chemico-biological interactions Jun 3, 2026
The potential contribution of foodborne pesticide residues to colorectal cancer (CRC) remains insufficiently understood. In this study, we integrated computational toxicology, network analysis, machine learning, molecular docking, and in vitro valida... read more 
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