Artificial Intelligence Medical Compendium

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

Showing 19,041 to 19,050 of 214,800 articles

Bayesian-Steered Structure Prediction of Mechanical Biomolecules Using Twisted Diffusion

bioRxiv May 13, 2026
Deep learning approaches have revolutionized protein structure prediction. These tools are trained using experimental data and recapitulate reported conformations, but there is great interest in predicting conformations that may be functionally relev... read more 
bioinformatics

Genomic Foundation Models Reveal Chromatin-Domain-Scale Transposable Element Impacts on Rice Genome Architecture

bioRxiv May 13, 2026
Alignment-based detection of transposable element (TE) insertion polymorphisms suffers from reference bias and multi-mapping errors in repetitive genomic regions, creating a fundamental validation bottleneck for population-scale structural variant ca... read more 
plant biology

Pretraining Objective Shapes Cross-Category Generalization in Affective Image Prediction: A Geometric Comparison of Vision Transformer Encoders

bioRxiv May 13, 2026
The geometry of representations learned by deep neural networks is shaped jointly by architecture and pretraining objective, yet disentangling these two factors remains difficult. Here we isolate the contribution of pretraining objective by comparing... read more 
neuroscience

Simulating the spectrum, not the syndrome: Large scale individualized modeling of oral reading in stroke aphasia

bioRxiv May 13, 2026
Computational models are a linchpin in our understanding of the neurocognitive basis of reading. These models can simulate idealized profiles of alexia syndromes, but in reality, individuals with alexia present with a wide range of mixed deficits rat... read more 
neuroscience

Deep Representation Learning on Whole-Brain Population Dynamics Uncovers Geometrically Separable Neural Codes

bioRxiv May 13, 2026
Learning interpretable low-dimensional representations of whole-brain neuronal dynamics remains a major computational challenge in systems neuroscience. We present a wiring-agnostic deep-learning framework that couples a convolutional encoder with a ... read more 
neuroscience

Machine learning-based prediction of memory requirements for metagenomic assembly in high-performance computing environments

bioRxiv May 13, 2026
Metagenomic assembly can be a computationally intensive step in microbiome analysis, with memory requirements that vary widely depending on input data characteristics. In workflow systems like Galaxy and large-scale platforms like MGnify, which run t... read more 
microbiology

Morphological fingerprints enable machine learning based inference of neuroblastoma cell states without transcriptomics

bioRxiv May 13, 2026
Inference of cancer cell states is essential for understanding oncogenic mechanisms and predicting clinical outcomes, yet current reliance on transcriptomic profiling limits scalability and real-time monitoring. Here, we show that cell morphology pro... read more 
cell biology

DynoSys 2.0: Graph-Based Modeling of Dynamic Risk States and System Transitions in Human Behaviours Development

bioRxiv May 13, 2026
Human behavioral and mental health outcomes arise from interactions among genetic, environmental, and neurobiological systems. Existing frameworks often model these components jointly, but many treat variables independently or use static representati... read more 
neuroscience

PREP-aring is worth it: Success of the Case Western Reserve University Postbaccalaureate Research Education Program and its Scholars

bioRxiv May 13, 2026
The Post-baccalaureate Research Education Program (PREP), established by the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health in 2000, was a research-intense, one-year training program for recent college gra... read more 
scientific communication and education

Generative machine learning unlocks the first proteome-wide image of human cells

bioRxiv May 13, 2026
The spatial organization of proteins within cells governs virtually all cellular functions. Yet, current imaging technologies can simultaneously visualize only tens of proteins, orders of magnitude below the thousands that populate a single human cel... read more 
cell biology
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