Artificial Intelligence Medical Compendium

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

Showing 25,901 to 25,910 of 217,905 articles

A Modular Framework for Automated Segmentation and Analysis of AFM Imaging of Chromatin Organization

bioRxiv
Chromatin organization underlies essential genome functions, but its nanoscale organization remains challenging to capture and quantify with precision. Atomic force microscopy (AFM) offers direct structural readouts of DNA and chromatin, yet translat... read more 

Reference-free compound identification using computational prediction of molecular properties and multi-dimensional spectrometric measurements: a fentanyl case study

bioRxiv
Mass spectrometry is used to identify chemicals to which humans are exposed, but it cannot directly determine molecular structures. Instead, structures are inferred by matching experimental spectra to libraries of spectra constructed from analyses of... read more 

Mucus transcriptional profiling as a minimally invasive approach to identify thermal stress in a stenothermal salmonid

bioRxiv
Global climate change has increased the frequency and severity of stressful temperatures that freshwater fishes experience, necessitating rapid and sensitive methods to monitor wild populations. Tissues used to measure transcriptional responses tradi... read more 

Integrative Bioinformatics Approach to Identify Prognostic Gene Signatures for Risk Stratification in Thyroid Carcinoma

bioRxiv
Thyroid cancer is a heterogeneous malignancy with variable outcomes, highlighting the need for reliable biomarkers and effective risk stratification. In this study, we implemented a multi-step integrative framework to identify distinct prognostic bio... read more 

Generative Augmentation Reveals Previously Overlooked Signals in Transcriptomic Datasets

bioRxiv
Identifying robust gene expression signatures from transcriptomic studies with small sample sizes remains one of the most persistent challenges in computational biology. Gene expression datasets have thousands of features but only a handful of biolog... read more 

MOSAIC: a longitudinal phenotypic clock to dissect organismal aging trajectories in C. elegans

bioRxiv
Interventions that extend lifespan do not necessarily preserve healthspan, the portion of life spent in good health. This disconnect has intensified interest in biological aging clocks as quantitative proxies of organismal health. However, most exist... read more 

All Models are Wrong, Some are Annotated: Automating Metadata in Biomedical Repositories

bioRxiv
Objective: High-quality metadata is essential for scientific discovery, yet sparse annotations in rapidly growing repositories leave many biologically relevant details uncaptured. We evaluated whether large language models (LLMs) can accurately infer... read more 

Predictive pursuit emerges in high-dimensional recurrent neural networks

bioRxiv
Tracking dynamic moving objects in the external world is ethologically important for many organisms. Recent experiments have examined neural dynamics supporting such behaviors by employing visually-guided pursuit in freely moving rodents, yet computa... read more 

UshEffect-3D: Structure-informed Classification of USH2A Missense Variants for Inherited Retinal Disease

bioRxiv
Variants of uncertain significance (VUS) in USH2A represent a critical interpretive challenge in inherited retinal disease, with over 70% of ClinVar submissions for this gene currently unresolved. We developed UshEffect-3D, a gene-specific, structure... read more 

HyperMap: An Efficient Framework for Transferring Perturbation Responses Across Diverse Biological Contexts

bioRxiv
Recent perturbation atlases profile transcriptional responses to thousands of targeted perturbations in a reference cell type. Generalising these datasets across lineages and individuals has been problematic, however, as similar baseline transcriptom... read more