Artificial Intelligence Medical Compendium

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

Showing 59,691 to 59,700 of 228,014 articles

Sleep dynamics and epileptogenesis following Kainic acid in epilepsy-susceptible (DBA/2J) and epilepsy-resistant (C57BL/6) mice

bioRxiv Jan 20, 2026
Susceptibility to epileptogenesis varies in humans and outbred mouse strains. We hypothesized that baseline sleep abnormalities increase susceptibility to epileptogenesis following Kainic acid (KA) and abnormal circadian rhythm or sleep homeostasis (... read more 
neuroscience

Comparison of Deep Learning Approaches for Extreme Low-SNR Image Restoration

bioRxiv Jan 20, 2026
Background: Live-cell fluorescence microscopy enables the study of dynamic cellular processes. However, fluorescence microscopy can damage cells and disrupt these dynamic processes through photobleaching and phototoxicity. Reducing light exposure mit... read more 
bioinformatics

CellFluxV2: An Image Generative Foundation Model for Virtual Cell Modeling

bioRxiv Jan 20, 2026
Building a virtual cell that simulates cellular behavior in silico is a central goal of computational biology. We introduce CellFluxV2, an image-generative model that predicts how cell morphologies change in response to chemical and genetic perturbat... read more 
bioinformatics

Characterizing Highly Conserved Fragments in 3'UTRs via Computational and Transfer Learning Approaches

bioRxiv Jan 20, 2026
3' untranslated regions (3' UTRs) serve as regulatory platforms that modulate translation, mRNA localization, and stability through the binding of regulators, such as RNA-binding proteins (RBPs) and miRNAs, in a sequence-specific manner. These vital ... read more 
genomics

Unsupervised Learning in Echo State Networks for Input Reconstruction.

Neural computation Jan 20, 2026
Echo state networks (ESNs) are a class of recurrent neural networks in which only the readout layer is trainable, while the recurrent and input layers are fixed. This architectural constraint enables computationally efficient processing of time-serie... read more 

New Guidance on Responsible Use of AI.

JAMA Jan 20, 2026
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Evolution of Oculomics: From Naked Eye Observations to Artificial Intelligence over 100 Years.

Ophthalmology science Jan 20, 2026
PURPOSE: To provide a historical review tracing the evolution of oculomics, the study of ocular biomarkers of systemic disease, from early clinical observations to the emergence of advanced imaging and artificial intelligence (AI) technologies over t... read more 

Deep learning deciphers behavioral states from muscle activation patterns.

Journal of pharmacological sciences Jan 20, 2026
Accurate assessment of animal behavior is limited by manual video observation. Here, we demonstrate that deep learning-based analysis of multi-site electromyograms enables classification of behavioral states. Electromyograms were recorded from five m... read more 

Simultaneous detection and visualization of lipid and protein oxidation in frozen-thawed chicken meat using hyperspectral imaging.

Food research international (Ottawa, Ont.) Jan 20, 2026
The quality degradation of frozen meat during storage is mainly attributed to oxidative reactions in lipids and proteins. This study aimed to evaluate lipid and protein oxidation in frozen-thawed chicken meat by employing hyperspectral imaging (HSI).... read more 

Classification and detection of Salmonella, Escherichia coli O157:H7, and Listeria monocytogenes using Fourier-transform near infrared spectroscopy coupled with machine learning.

Food research international (Ottawa, Ont.) Jan 20, 2026
This study was conducted to investigate the potential use of Fourier-transform near-infrared (FT-NIR) spectroscopy combined with machine learning (ML) algorithms to accurately identify three foodborne pathogens, including Salmonella spp., Listeria mo... read more 
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