Artificial Intelligence Medical Compendium

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

Showing 49,591 to 49,600 of 224,513 articles

MicrowellMicrofluidicsMiner (M3): Leverage Large Language Model Agents for Knowledge Mining of Microwell Microfluidics

bioRxiv Feb 17, 2026
Microwell microfluidics has emerged as powerful platforms for high precision biological and chemical investigations, bridging microscale fluid handling with compartmentalized reaction environments. Achieving robust and reproducible performance in suc... read more 
bioengineering

Sparse mixed codes on shared manifolds for human-like spatial attention in artificial neural networks

bioRxiv Feb 17, 2026
Spatial attention is often partitioned into endogenous, exogenous, and social forms, yet it remains unclear whether a single neural circuit can support all three and how their population codes are organized. Here we trained recurrent artificial neura... read more 
neuroscience

p-Brain: An Automated MRI Pipeline for Cerebral Perfusion, Microvasculature, and Blood-Brain Barrier Permeability Estimation

bioRxiv Feb 17, 2026
We present p-Brain, an end-to-end neuroimaging analysis framework for reproducible, automated quantitative DCE-MRI analysis at scale. From standard acquisitions, p-Brain estimates baseline relaxation parameters, converts signal to gadolinium concentr... read more 
neuroscience

TITAN-BBB: Predicting BBB Permeability using Multi-Modal Deep-Learning Models

bioRxiv Feb 17, 2026
Computational prediction of blood-brain barrier (BBB) permeability has emerged as a vital alternative to traditional experimental assays, which are often resource-intensive and low-throughput to meet the demands of early-stage drug discovery. While e... read more 
bioinformatics

MolDeBERTa: Foundational Model for Physicochemical and Structural-Informed Molecular Representation Learning

bioRxiv Feb 17, 2026
Foundational models that learn the language of molecules are essential for accelerating the material and drug discovery. These self-learning models can be trained on a large number of unlabelled molecules, enabling applications like property predicti... read more 
bioinformatics

Towards inferring atomic scale conformation landscape of biomolecules from cryo-electron tomography data

bioRxiv Feb 17, 2026
Understanding continuous conformational variability of biomolecular complexes at atomic resolution is essential for linking structure to function, but remains challenging for cryo-electron tomography (cryo-ET) data due to high noise and missing-wedge... read more 
bioinformatics

QuantCell: machine learning based cell annotation from qualitative and quantitative imaging profiles

bioRxiv Feb 17, 2026
Recent advances in spatial omics enable high-resolution, multiplexed in situ imaging of gene and protein expression. A major challenge in analyzing these data is cell annotation, especially in complex tissues with limited molecular markers, overlappi... read more 
bioinformatics

Stimulus prior and reward probability differentially affect response bias in perceptual decision making

bioRxiv Feb 17, 2026
Signal detection theory posits that subjects in two-stimulus, two-choice discrimination tasks decide by comparing random samples of an evidence variable to a static decision criterion. While the core assumptions of the theory have received ample expe... read more 
animal behavior and cognition

Systematic Evaluation of Transfer Learning Strategies for Clinical Chemotherapy Response Prediction

bioRxiv Feb 17, 2026
Accurately predicting chemotherapy response remains a major challenge in precision oncology. Although machine-learning models based on tumour omics data have shown promise, the majority of existing studies are trained and evaluated on pre-clinical ce... read more 
bioinformatics

Biological Foundation Models Enable CRISPR Array Detection Without Metagenomic Assembly

bioRxiv Feb 17, 2026
Accurate identification of CRISPR arrays is essential for studying prokaryotic adaptive immunity, yet existing tools struggle with short-read sequencing data and arrays containing degenerate repeats. These limitations restrict CRISPR analysis in meta... read more 
molecular biology
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