Artificial Intelligence Medical Compendium

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

Showing 44,391 to 44,400 of 224,055 articles

From Prefix to Path: Learning Temporally Consistent Biomolecular Dynamics from Limited Initial Data

bioRxiv Mar 5, 2026
Molecular dynamics (MD) simulations provide detailed insights into biomolecular motion but are often limited by the prohibitive cost of sampling long-timescale behavior. Here, we present a Transformer-based framework that reconstructs temporally cont... read more 
biophysics

RePaRank: An Efficient Architecture for Antibody-Antigen Interface Prediction by Proximity Ranking

bioRxiv Mar 5, 2026
The prediction of protein-protein interactions is central to structural biology, yet leading models are often computationally expensive, creating an accessibility gap for many high-throughput applications. Furthermore, common evaluation metrics such ... read more 
immunology

Genome-wide classification of tumor-derived reads from bulk long-read sequencing

bioRxiv Mar 5, 2026
DNA extracted from tissue samples typically derive from of a complex mixture of cell types. Without single cell analysis, it has been generally impossible to determine the cell type of origin for most molecules. One clear example of this is in the co... read more 
bioinformatics

Deep Learning Enabled 3D Multi-Omic Analysis Reveals Molecular Signatures of Heterogeneous Response to Chemotherapy in Pancreatic Cancer

bioRxiv Mar 5, 2026
Resistance to systemic therapy is a major unmet challenge in pancreatic cancer. To identify potential mechanisms of resistance, we developed a novel 3D pipeline in clinical samples that uses deep learning to classify sensitive and persistent tumor ce... read more 
cancer biology

Investigating Effects of Outcome Controllability and Error Attribution on Proactive Attentional Control: Insights from EEG and Cognitive Modelling

bioRxiv Mar 5, 2026
Sense of agency (SoA), the experience of controlling one's actions and their consequences, is crucial for self-representation and adaptive goal-directed behavior. Classic comparator models explain SoA as the match between predicted and actual sensori... read more 
neuroscience

A Quantum Lens on Molecular Design: A Machine-Learned Energy Function from Interacting Quantum Atoms.

bioRxiv Mar 5, 2026
Accurate predictions of the interactions (covalent bonds and non-covalent contacts between atoms) in a molecular system require scalable, accurate, and interpretable energy functions. While classical force fields and knowledge-based energy functions ... read more 
bioinformatics

Relation Extraction for Diet, Non-Communicable Disease and Biomarker Associations (RECoDe): A CoDiet study

bioRxiv Mar 5, 2026
Diet plays a critical role in human health, with growing evidence linking dietary habits to disease outcomes. However, extracting structured dietary knowledge from biomedical literature remains challenging due to the lack of dedicated relation extrac... read more 
bioinformatics

MORPHE: Bridging Image Generation and Spatial Omics for Tissue Synthesis

bioRxiv Mar 5, 2026
Spatially resolved omics technologies reveal tissue organization at single-cell resolution but remain limited by the cost of the assays, incomplete spatial coverage, 2D-only imaging, and experimental artifacts. These factors motivate the need for \te... read more 
systems biology

BEEhaviourLab: A high-throughput platform for sublethal stressor screening in insects

bioRxiv Mar 5, 2026
Chemical risk assessment for insects relies largely on mortality endpoints in a few model species, limiting detection of ecologically relevant sublethal effects and cross-taxon comparisons. Behaviour is a sensitive indicator of neurotoxic stress, but... read more 
animal behavior and cognition

The Geometry of Cognitive Difficulty: A Dynamical Manifold Theory in Excitable Neural Networks

bioRxiv Mar 5, 2026
Quantifying task difficulty remains an open theoretical problem in neuroscience and artificial intelligence. While difficulty is often treated as a scalar property of stimuli or optimization landscapes, neural computation unfolds as a transient recon... read more 
biophysics
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