Artificial Intelligence Medical Compendium

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

Showing 48,191 to 48,200 of 224,199 articles

In Silico Identification of Aminoadipate Semialdehyde Synthase (AASS) as a Novel Prognostic Biomarker in Triple-Negative Breast Cancer

bioRxiv Feb 20, 2026
Triple-negative breast cancer (TNBC) is an aggressive subtype that lacks effective targeted therapies. This study aimed to identify robust prognostic biomarkers by integrating network biology with machine learning (ML) approaches. TNBC expression coh... read more 
cancer biology

THERM-D Uncovers Distinct Neural Mechanisms Separating Morning and Evening Body Temperature Rhythms in Drosophila

bioRxiv Feb 20, 2026
Animal body temperature rises throughout the day and peaks in the evening, a pattern conserved across diurnal endotherms and ectotherms. However, the mechanisms driving the robust body temperature rhythms (BTR) remain largely unclear. Here, we develo... read more 
neuroscience

BEEP Learning: Multi-View Image Decomposition for Massively Multiplexed Biological Fluorescence Microscopy

bioRxiv Feb 20, 2026
Fluorescence imaging with spectrally variant fluorophores allows the spatial mapping of biological structures with exquisite cellular and molecular specificity. However, the ability to robustly discriminate multiple fluorophores in any single imaging... read more 
biophysics

Resting-state Compensatory Remapping in Patients with Brain Tumour Before and After Surgery

bioRxiv Feb 20, 2026
Brain tumours invade neural tissue, disrupting the functional organisation of neural networks. This disruption can trigger compensatory neuroplastic mechanisms that help preserve cognitive function despite pathological burden. Resting-state functiona... read more 
neuroscience

A ventral tegmental area GABAergic projection to the ventral pallidum regulates value-based decision making in mice

bioRxiv Feb 20, 2026
Activity of the mesolimbic system is essential for adaptive performance of reward-related behaviors. Within this system, dopaminergic (DAergic) neurons play a critical role in driving motivation to obtain rewards and encoding predictions and error si... read more 
neuroscience

Cholinergic--dopaminergic interplay underlies prediction error broadcasting

bioRxiv Feb 20, 2026
Neuromodulatory systems, notably basal forebrain cholinergic and midbrain dopaminergic pathways, critically influence reinforcement learning (Schultz et al., 1997; Doya, 2002; Yu and Dayan, 2005). However, whether and how they cooperate or compete to... read more 
neuroscience

Rational design of synthetic proteins using a genome-scale CRISPR screen

bioRxiv Feb 20, 2026
Protein structure prediction using deep learning has revolutionized protein design. Yet, our understanding of protein function remains a key limitation for designing novel proteins that perform complex biological tasks. Here, we adopt a massively-par... read more 
bioengineering

Discovering macroscale functional organization on the structure of brain-like recurrent neural networks

bioRxiv Feb 20, 2026
Understanding function from structure is a central topic in both neurobiology and artificial intelligence. In the human brain, macroscale functional organization, including functional parcellations, modules, and hierarchies, has been systematically l... read more 
neuroscience

Deep models of protein evolution in time generate realistic evolutionary trajectories and functional proteins

bioRxiv Feb 20, 2026
Models of protein evolution are foundational to biology, underpinning essential techniques such as phylogenetic tree inference, ancestral sequence reconstruction, multiple sequence alignment, variant effect prediction, and protein design. Historicall... read more 
evolutionary biology

Mechanistic machine learning enables interpretable and generalizable prediction of prime editing outcomes

bioRxiv Feb 20, 2026
Although prime editing (PE) can effect virtually any specified local change to genomic DNA in living systems, its efficient application currently requires extensive optimization of prime editing guide RNA (pegRNA) sequences. We present OptiPrime, a m... read more 
biochemistry
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