Artificial Intelligence Medical Compendium

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

Showing 50,281 to 50,290 of 224,814 articles

Protocol for a prospective accuracy study on an artificial intelligence-based ultrasound system for gestational age estimation among pregnant women in Ghana, Kenya and South Africa

medRxiv Feb 15, 2026
Background: Risk screening for pre-eclampsia relies on accurate gestational age assessment, but routine access to ultrasound-based gestational dating remains challenging in many low- and middle-income countries (LMICs). As part of the formative work ... read more 
obstetrics and gynecology

Multi-gene biomarkers reveal spatial organization and subpopulation-specific damage response in intrahepatic biliary epithelial cells

bioRxiv Feb 15, 2026
Background & Aims: Intrahepatic biliary epithelial cell (BEC) heterogeneity remains challenging to define. Here, we sought to identify BEC subpopulations and biomarkers in mouse liver. Methods: We performed scRNA-seq on Sox9EGFP+ liver epithelium fro... read more 
cell biology

Predictive E-prop: A biologically inspired approach to train predictive coding-based recurrent spiking neural networks

bioRxiv Feb 15, 2026
The predictive coding framework offers a compelling model for temporal signal processing in the cortex. Recent studies explored its implementation in spiking architectures using Hebbian plasticity rules or offline learning; however, a biologically in... read more 
neuroscience

A densely sampled fMRI dataset for investigating food valuation

bioRxiv Feb 15, 2026
Subjective valuation of food rewards guides our dietary choices and is fundamental to human health and well-being. Extensive literature in human functional magnetic resonance imaging (fMRI) studies has consistently shown that a network of reward-proc... read more 
neuroscience

Loss of competitive strength in European conifer species under climate change

bioRxiv Feb 15, 2026
Climate change is expected to alter species assemblages by affecting the outcome of competition between species. Investigating processes of competition remains challenging particularly in tree communities, as they unfold over extensive spatio-tempora... read more 
ecology

Physically Grounded Generative Modeling of All-Atom Biomolecular Dynamics

bioRxiv Feb 15, 2026
Predicting the kinetic pathways of biomolecular systems at all-atom resolution is crucial for understanding protein function and drug efficacy, yet this task is hindered by the immense computational cost of conventional molecular dynamics (MD) simula... read more 
bioinformatics

Discovery of TDP-43 aggregation inhibitors via a hybrid machine learning framework

bioRxiv Feb 14, 2026
TAR DNA-binding protein 43 (TDP-43) aggregation is a hallmark of several neurodegenerative diseases, including amyotrophic lateral sclerosis and frontotemporal dementia. Recent therapeutic efforts have highlighted the potential of small molecules cap... read more 
bioinformatics

TOXsiRNA: A web server to predict the toxicity of chemically modified siRNAs

bioRxiv Feb 14, 2026
Small interfering RNAs (siRNAs) are largely modified with chemical molecules to enhance their properties for use in molecular biology research and therapeutic applications. Toxicity effects may arise due to these chemical moieties as well as sequence... read more 
bioinformatics

Feature-based in-silico model to predict the Mycobacterium tuberculosis bedaquiline phenotype associated with Rv0678 variants

bioRxiv Feb 14, 2026
Bedaquiline resistance is emerging globally and threatens the effectiveness of the novel short all-oral regimens for rifampicin-resistant tuberculosis. Following a systematic literature review, we quantified 13 sequence, biochemical, and structural f... read more 
bioinformatics

Machine learning-guided design of artificial microRNAs for targeted gene silencing

bioRxiv Feb 14, 2026
Artificial microRNAs (amiRNAs) offer a powerful strategy for targeted gene silencing, but their rational design is limited by complex sequence-structure-processing relationships and the lack of tools capable of optimizing efficacy and specificity. To... read more 
bioinformatics
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