Artificial Intelligence Medical Compendium

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

Showing 57,951 to 57,960 of 227,388 articles

Passive data do not improve prediction or detection of alcohol consumption beyond temporal patterns in major depression: A 90-day cross-validated study.

Addictive behaviors Jan 26, 2026
Major Depressive Disorder (MDD) is one of the most prevalent psychological disorders and frequently co-occurs with alcohol use disorders, increasing the risk of functional impairment. Monitoring alcohol use during depression treatment is therefore cr... read more 

MIL-Adapter: Coupling multiple instance learning and vision-language adapters for few-shot slide-level classification.

Medical image analysis Jan 26, 2026
Contrastive language-image pretraining has greatly enhanced visual representation learning and enabled zero-shot classification. Vision-language language models (VLM) have succeeded in few-shot learning by leveraging adaptation modules fine-tuned for... read more 

Key evidence for personalised nutrition: a review of randomised controlled trials.

Food & function Jan 26, 2026
The field of personalised nutrition is growing and is based on the concept that delivering personalised dietary advice will be more effective than generic healthy eating guidelines for individuals to improve their diet and metabolic health. While the... read more 

End-to-end deep learning versus machine learning for biomarker discovery in cancer genomes

bioRxiv Jan 26, 2026
Background: Accurate determination of genomic biomarkers from tumor sequencing is fundamental to precision oncology, informing disease classification and treatment decisions. In practice, biomarker inference relies on computational pipelines that oft... read more 
bioinformatics

A Population Vector Model of Visual Working Memory for Real-World Scenes

bioRxiv Jan 26, 2026
Visual working memory is essential for navigating through and interacting with complex real-world environments. It is therefore important to understand how natural visual inputs - characterized by complex contours, continuously varying feature gradie... read more 
neuroscience

ProChoreo: De novo Binder Design from Conformational Ensembles with Generative Deep Learning

bioRxiv Jan 26, 2026
Deep learning has transformed protein structure prediction and de novo protein design; however, most existing frameworks operate on a single static conformation and underutilize the conformational heterogeneity that governs protein binding and functi... read more 
bioinformatics

Neural Signatures of Post-Decision Outcome Expectation and Evaluation in Human Sensorimotor Choice Behavior

bioRxiv Jan 26, 2026
The concept of embodied sensorimotor decision-making proposes that processes implicated in evaluating sensory inputs and selecting appropriate motor actions unfold partly in cortical regions traditionally associated with movement planning and executi... read more 
neuroscience

Comparing optimal transport and machine learning approaches for databases merging in scenarios involving missing data in covariates.Application to Medical Research

bioRxiv Jan 26, 2026
Motivation: One of the challenges encountered when merging heterogeneous observational clinical datasets is the recoding of categorical target variables that may have been measured differently across data sources. Standard machine learning-based appr... read more 
bioinformatics

Predicting Gene Disease Associations in Type 2 Diabetes Using Machine Learning on Single-Cell RNA-Seq Data

bioRxiv Jan 26, 2026
Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels due to impaired insulin production or function. Two main forms are recognized: type 1 diabetes (T1D), which involves autoimmune destruction of insulin-producing {... read more 
bioinformatics

SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment

bioRxiv Jan 26, 2026
Accurate pose estimation underpins quantitative analysis of behavior, yet many deep learning-based tracking tools remain optimized for offline workflows that rely on fragmented software pipelines, workstation-grade GPUs, or external middleware to ena... read more 
neuroscience
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