Artificial Intelligence Medical Compendium

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

Showing 20,351 to 20,360 of 215,962 articles

Investigation of Protein Melting Temperature Prediction with Cross-Method Validation on Biophysical Data

bioRxiv
Motivation: Protein melting temperature (Tm) prediction accelerates the discovery of thermostable enzymes which are crucial for industrial biotechnology often requiring harsh reaction conditions. Experimental determination of Tm remains labour-intens... read more 

Susagi: A Microbiome World Model

bioRxiv
Motivation: Accurately modelling how microbial communities assemble and change across hosts and environments is essential for analysis and intervention. Typical pipelines capture limited generalisable structure and often depend on fixed ecological un... read more 

InterScale reveals multi-scale cellular interaction programs in spatial transcriptomics

bioRxiv
Tissue homeostasis and disease emerge from cell-cell interactions operating across spatial scales: from autocrine and juxtacrine signals within micrometers to paracrine gradients coordinating responses across tissues. While these can be read out from... read more 

pyTrance finds co-localizing RNAs in subcellular spatial transcriptomics data

bioRxiv
Regulation of RNA subcellular localization is crucial for cellular functions in health and disease. For example, local translation of co-localized RNAs is crucial for neural biology. However, it is challenging to identify RNA co-localization events. ... read more 

The Second Brain: Diffusion Models for Realistic Human Microbiome Generation

bioRxiv
The human microbiome is a critical determinant of health and disease, but microbiome machine learning is constrained by limited data availability, heterogeneous cohort coverage, and privacy risks from individually identifying microbial signatures. Sy... read more 

Enhanced processing of cartoons in infant visual cortex

bioRxiv
Developing sensory systems may have heightened sensitivity to exaggerated features that emphasize diagnostic information, as shown by the benefits of infant-directed speech for language acquisition. Here, we examine this sensory exaggeration hypothes... read more 

Integrating Diffusion and Liquid AI Models for Predicting Peptide Affinity from mRNA Display Selections

bioRxiv
In vitro selection and directed evolution technologies such as mRNA display, explore large libraries (10^14 variants) and generate thousands to millions of functional polypeptide ligands to a variety of targets. Denoising diffusion implicit machine l... read more 

Simulation-conditioned generative modeling for biologically realistic pattern prediction

bioRxiv
Pattern formation underlies biological organization across scales, but predicting experimentally observed patterns remains difficult because mechanistic models and data-driven generative models fail in complementary ways. Coarse-grained mechanistic m... read more 

Human intracranial correlates of dynamic coding in auditory working memory

bioRxiv
Working memory (WM), the human brain's system for maintaining and manipulating information over short timescales, is critical for goal-directed behavior. Classic neurophysiological models, which emphasize persistent delay activity, are being challeng... read more