Artificial Intelligence Medical Compendium

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

Showing 1,921 to 1,930 of 200,546 articles

DMPKformer: An Interpretable Multimodal Deep Learning Framework for Reliable ADMET Property Prediction

bioRxiv
Accurate prediction of absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties remains a critical challenge in drug discovery. Traditional single modality approaches often fail to capture the complex, multi-scale relationship... read more 

SortIT - A Tool For Assessing Observer Variability And Creating Ground Truth Image Classification Datasets

bioRxiv
Interobserver variability in pathological assessments is a well-recognized challenge that impacts diagnostic reliability and disease understanding. This variability exists across many subspecialties due to the subjective nature of evaluations. Artifi... read more 

Accurate Identification of Functional Residues Across the Human Proteome with TAMALE

bioRxiv
The central challenge of the post-AlphaFold era is the "functional gap". Despite having structure predictions for nearly every human protein, we remain unable to systematically distinguish residues that drive activity from those that merely maintain ... read more 

CellExLink: End-to-end cell-type recognition and normalization in biomedical text

bioRxiv
Cell-type extraction is an important task in biomedical text mining because biomedical literature contains evidence about cell types and cell-type-related biological interactions that supports studies of disease mechanisms, therapeutic response, and ... read more 

DINMC: A Deep Learning Framework for Interpretable Normative Model Construction and Pathological Brain Alteration Detection

bioRxiv
Background and Objective: Normative modeling is a key tool for understanding brain alterations in neurodegenerative diseases, such as cerebellar-type multiple system atrophy. However, existing methods lack interpretability and fail to capture clinica... read more 

Transcriptomics-Conditioned Virtual Tissue Synthesis via Diffusion Transformers

bioRxiv
Spatial transcriptomics couples hematoxylin and eosin (H&E) tissue morphology with spatially resolved gene expression (GE). However, generative models that exploit this coupling to synthesize tissue images from transcriptomic profiles remain scarce. ... read more 

MICAFlow: Fast and Robust MRI Preprocessing Bridging Research Neuroimaging and Clinical Practice

bioRxiv
MICAFlow is a fully automated MRI preprocessing pipeline designed to translate advanced neuroimaging workflows from research into routine clinical practice. The pipeline emphasizes speed, robustness, and ease of use, focusing on structural and diffus... read more 

A Multi-Agent RAG Framework for Biomedical Literature Analysis

bioRxiv
Background: The biomedical literature is expanding at an unprecedented rate, with over 4,000 new articles indexed on PubMed each day. Clinicians and researchers frequently lack the time to review this volume before making decisions. Retrieval-Augment... read more 

Multiple versus pairwise sequence alignments for protein phylogenetics using foundation models

bioRxiv
Phylogenetic inference is a common task in molecular and evolutionary biology and has conventionally required a multiple sequence alignment (MSA), a statistical model of amino acid substitutions, and an optimality principle. Recently, global models o... read more 

13C flux ratio analysis with FRAPPPE reveals differences in metabolic fluxes between gut Bacteroidota and Escherichia coli

bioRxiv
Gut bacteria shape the metabolism of their host and play an important role in human health. However, systems biology approaches to study their intracellular metabolic fluxes are largely underdeveloped. We present an experimental and computational wor... read more