Artificial Intelligence Medical Compendium

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

Showing 21,221 to 21,230 of 216,348 articles

Structural bias in machine learning-guided peptide design

bioRxiv May 8, 2026
Machine learning continues to accelerate peptide and protein design through the rapid prediction and generation of sequences with desired characteristics. Many applications focus on predicting properties, functions, and structures, as well as generat... read more 
bioinformatics

Open-Rosalind: Tool-First Biomedical LLM Agents with Process-Aware Benchmarking

bioRxiv May 8, 2026
Large language models are increasingly used as scientific agents, yet the flexibility that benefits general-purpose agents can conflict with the accountability required in biomedical research. We study whether biomedical agents can be organized aroun... read more 
bioinformatics

QuadStack: Specialized convolutional blocks enable in vivo BG4-binding motif prediction and highlight discrepancies with in vitro G-quadruplexes.

bioRxiv May 8, 2026
G-quadruplex (G4) prediction has been largely guided by in vitro biophysical rules, yet these models show limited agreement with in vivo measurements. Here, we present QuadStack, a deep learning model trained on a multi study BG4-ChIP-seq compendium.... read more 
bioinformatics

Integration of Deep-Learning and Species Distribution Models for Classification of Animal Species of the Brazilian Fauna

bioRxiv May 8, 2026
The automated classification of animals from photos is important in ecology and conservation biology for organizing and understanding the immense diversity of species, as well as facilitating effective conservation and management practices. It is equ... read more 
ecology

Benchmarking and behavioral characterization of LLM agents for protein design

bioRxiv May 8, 2026
Large language models (LLMs) are increasingly deployed as agents for scientific discovery, but standardized frameworks for evaluating their performance and behaviour in scientific workflows are lacking. Protein design provides a demanding test case b... read more 
bioengineering

Mapping the combinatorial coding between olfactory receptors and perception with deep learning

bioRxiv May 8, 2026
The sense of smell remains poorly understood, especially in contrast to visual and auditory coding. At the core of our sense of smell is the olfactory information flow, in which odorant molecules activate a subset of our olfactory receptors and combi... read more 
molecular biology

Cholinergic modulation of reinforcement learning and prefrontal value computations under uncertainty

bioRxiv May 8, 2026
The neuromodulator acetylcholine has been suggested to govern learning under uncertainty. Here, we investigated the role of muscarinic acetylcholine receptors in reward-guided learning and decision making under different degrees of uncertainty. We ad... read more 
neuroscience

Activity dynamics allow early discrimination of infection-related survival outcomes

bioRxiv May 8, 2026
Predicting transitions between health, disease, and death across biological systems remains an important challenge with significant implications for both ecological management and medical intervention. Although the principles underlying these transit... read more 
ecology

UPhAIR: A Hybrid Pipeline for Generating Understandable Post-hoc AI Reports in Glioma IDH Mutation Status Prediction

medRxiv May 8, 2026
Clinical adoption of machine learning (ML) in medical imaging is limited by the lack of interpretability. To address this, we present understandable post-hoc artificial intelligence reports (UPhAIR), a pipeline designed to generate transparent, evide... read more 
health informatics

The Relatives Experience Questionnaire for Acute Inpatient Child and Adolescence Mental Health Services (REQ-AICAMHS): reliability and validity following a Norwegian survey

medRxiv May 8, 2026
Introduction: Adolescents with mental health disorders represent a vulnerable group with complex care needs, yet their and their relatives experiences in acute inpatient mental health services remain poorly understood. While patient-reported experien... read more 
health systems and quality improvement
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