Artificial Intelligence Medical Compendium

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

Showing 47,011 to 47,020 of 224,199 articles

Deep learning framework ChIANet predicts protein-mediated chromatin architecture across functional contexts

bioRxiv Feb 25, 2026
The spatial organization of the genome is dynamically shaped by chromatin-binding proteins, yet how protein-mediated three-dimensional (3D) architectures are specified across functional contexts remains incompletely understood. Here we present ChIANe... read more 
genomics

AI-BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

bioRxiv Feb 25, 2026
We introduce AI-BioMech, a deep learning based framework that directly predicts the mechanical response of cellular structures from 2D images, eliminating the need for manual geometry definition and traditional finite element simulations. The framewo... read more 
biophysics

Domain-adaptation deep learning models do not outperform simple baseline models in single-cell anti-cancer drug sensitivity prediction

bioRxiv Feb 25, 2026
Tumor drug response is profoundly shaped by cellular heterogeneity, making single-cell resolution essential for precision oncology. While drug-response labels are abundant for cell lines at bulk resolution, translating these predictive models to the ... read more 
cancer biology

Evaluating Transferability and Robustness of Process-Guided Neural Networks in Forest Carbon Flux Modelling

bioRxiv Feb 25, 2026
Making robust and generalizable predictions within ecological systems such as forests remains challenging due to limited data availability and the slow pace of environmental change. To address this, we integrate a semi-empirical environmental process... read more 
ecology

Camera trapping and passive acoustic monitoring as non-invasive techniques for the study of small mammals

bioRxiv Feb 25, 2026
Terrestrial small mammals are of significant importance worldwide in providing valuable ecosystem services and acting as invasive species, pests, and carriers of disease. Many species are under threat from anthropogenic stressors and non-invasive tec... read more 
ecology

AI-driven quality control of cell-based ATMPs: automated, accurate, and affordable.

Cytotherapy Feb 25, 2026
BACKGROUND AIMS: The production of neuroepithelial stem (NES) cells, a promising therapeutic candidate for neurological conditions such as stroke and spinal cord injuries, faces significant manufacturing challenges, particularly in quality control (Q... read more 

[Utilizing machine learning and SHAP analysis to develop a prognostic survival prediction model for gastric cancer patients following radical gastrectomy].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery Feb 25, 2026
Objective: To construct a prediction model and website for the overall survival (OS) of gastric cancer patients after radical gastrectomy based on SHapley Additive exPlanations (SHAP) and machine learning models. Methods: This retrospective cohort st... read more 

Evaluating the accuracy of ChatGPT model versions for giving care-seeking advice.

Communications medicine Feb 25, 2026
BACKGROUND: Artificial Intelligence tools such as ChatGPT are increasingly used by laypeople to support their care-seeking decisions, although the accuracy of newer models remains unclear. We aimed to evaluate the accuracy of care-seeking advice that... read more 

The cyber-physical paradigm for lifetime aortic valve management: a synthesis of robotics, artificial intelligence, and augmented reality.

Journal of robotic surgery Feb 25, 2026
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Multi-scale molecular dynamics of perovskite quantum dots: from atomic fluctuations to predictive stability design.

Journal of molecular modeling Feb 25, 2026
CONTEXT: Perovskite quantum dots (PQDs) are promising nanomaterials for optoelectronic and energy-conversion applications due to their high photoluminescence quantum yield, tunable bandgap, and defect tolerance. However, their soft ionic lattices exh... read more 
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