Artificial Intelligence Medical Compendium

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

Showing 48,691 to 48,700 of 224,513 articles

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

How to gain valuable insight from scarce data with Machine Learning: a post-hoc explanation tool to identify biases in biological images classification

bioRxiv Feb 20, 2026
Machine learning (ML) models are effective at classifying images across various fields, including biology. However, their performance on biomedical images is often limited by the small size of available datasets that are constrained by the time-consu... read more 
bioinformatics

Fast and alignment-free flavivirus classification from low-coverage genomes

bioRxiv Feb 20, 2026
High genomic variability among viral species makes sequence classification highly dependent on multiple sequence alignment (MSA) methods, which are both computationally intensive and sensitive to data quality issues. To provide a more efficient and r... read more 
bioinformatics
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