Artificial Intelligence Medical Compendium

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

Showing 61,031 to 61,040 of 228,300 articles

TcrDesign: De novo design of epitope specific full-length T cell receptors

bioRxiv
T cell receptors (TCRs) are essential for adaptive immune recognition. Recently computational tools have been developed to predict the interactions between TCR and epitope, and artificial intelligence models have been proposed to generate the complem... read more 

PathDiffusion: modeling protein folding pathway using evolution-guided diffusion

bioRxiv
Despite remarkable advances in protein structure prediction, a fundamental question remains unresolved: how do proteins fold from unfolded conformations into their native states? Here, we introduce PathDiffusion, a novel generative framework that sim... read more 

Transmission Dynamics of Eastern Equine Encephalitis Infection Rates: The Role of Avian Host Stage and Differential Mosquito Exposure

bioRxiv
Eastern equine encephalitis virus (EEEV) is a deadly arboviral pathogen with 30% severe case fatality. EEEV exhibits pronounced 2-3 year cyclical outbreak patterns in the northeastern United States, linked to shifts in mosquito feeding preferences be... read more 

High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model

bioRxiv
Computation in recurrent networks of neurons has been hypothesized to occur at the level of low-dimensional latent dynamics, both in artificial systems and in the brain. This hypothesis seems at odds with evidence from large-scale neuronal recordings... read more 

HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction

bioRxiv
Accurately predicting how amino acid substitutions alter protein function is a central challenge in biology, with applications from interpreting disease variants to engineering vaccines and therapeutic proteins. We introduce HERMES, a family of fast,... read more 

A genotype-phenotype transformer to assess and explain polygenic risk

bioRxiv
Genome-wide association studies have linked millions of genetic variants to biomedical phenotypes, but their utility has been limited by lack of mechanistic understanding and widespread epistatic interactions. Recently, Transformer models have emerge... read more 

Histological aging signatures enable tissue-specific disease prediction from blood

bioRxiv
Aging, the leading risk factor for numerous diseases, manifests through diverse structural and architectural changes in human tissues, providing an opportunity to quantify and interpret tissue-specific aging. To address this, we present a comprehensi... read more 

NeuroSimo: an open-source software for closed-loop EEG- or EMG-guided TMS

bioRxiv
ObjectiveOur goal was to create open-source software for closed-loop EEG-TMS that allows researchers to rapidly prototype and develop novel stimulation paradigms in a high-level programming language. This addresses the limitations of current solution... read more 

Deployable high-fidelity metagenome binning at scale with QuickBin

bioRxiv
1Reconstructing genomes from metagenomic assemblies is foundational to microbiome research, yet metagenome binning remains constrained by a persistent trade-off between genome fidelity and deployable throughput. Many high-accuracy approaches rely on ... read more 

Beyond native sequence recovery: Improved modeling of thesequence-energy landscape of protein structures

bioRxiv
Computational protein design using machine learning models has advanced rapidly since the introduction of AlphaFold2. There is now a suite of tools that enable in silico design of proteins with desired structures and properties. Most design workflows... read more