Artificial Intelligence Medical Compendium

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

Showing 3,581 to 3,590 of 203,255 articles

O-SNAP uncovers nanoscale chromatin remodeling in dedifferentiation and stress responses.

Nature communications Jun 3, 2026
The multi-scale organization of chromatin underlies gene regulation and cell identity, yet how nuclear architecture remodels during cell state transitions remains poorly understood. Here, we use single-molecule localization microscopy and a comprehen... read more 

LG-Transformer: learned-graph transformer framework enabling diverse physicochemical properties prediction toward fuel design.

Nature communications Jun 3, 2026
Green fuels are essential for decarbonizing transportation sectors, requiring accurate prediction of different physicochemical properties to optimize engine performance and emissions. Although artificial intelligence-based models demonstrate signific... read more 

How to quickly determine whether patients with chronic cough need corticosteroid treatment--construction of a predictive model for corticosteroid-responsive cough in chronic cough.

NPJ primary care respiratory medicine Jun 3, 2026
Patients with chronic cough need to undergo a wide range of tests and rely on empirical medication to determine the underlying cause. Corticosteroid-responsive cough (CRC) accounts for the majority of the causes of chronic cough, and the diagnostic p... read more 

Genome-wide modelling of plant transcription factor binding captures regulatory variants associated with phenotypic traits.

Nature communications Jun 3, 2026
The sequence-specific recognition of cis-regulatory elements (CRE) by transcription factors (TF) propagates genotype information to phenotypes. Understanding how genetic variation affects gene regulation remains limited by the diversity and complexit... read more 

Data-driven concavity engineering for magnetic activation in rigid microspheres.

Nature communications Jun 3, 2026
Concave architectures harness geometric curvature to amplify interfacial activity and local fields, presenting encouraging prospects for catalytic, optical, and electromagnetic applications. However, their controllable synthesis in rigid metals remai... read more 

Photonic Mixture-of-Experts for scalable multi-task on-chip optical neural networks.

Nature communications Jun 3, 2026
Photonic computing offers an energy-efficient, high-bandwidth platform for artificial intelligence (AI) but currently faces scalability bottlenecks stemming from depth-dependent designs, linear optical structures, and intrinsic optical losses, along ... read more 

River depths and widths dataset for the territory of Poland.

Scientific data Jun 3, 2026
The accurate estimation of critical river parameters, specifically width and depth, via remote sensing and machine learning techniques requires high-quality, geographically dense reference datasets for reliable validation and training. This paper pre... read more 

Profiling of extracellular vesicles from primary hepatocytes, organoids, and mash patients identifies cell injury-specific signatures.

Scientific reports Jun 3, 2026
Metabolic Dysfunction-Associated Steatohepatitis (MASH) is a severe form of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), traditionally diagnosed via invasive biopsy, underscoring the need for non-invasive alternatives. This study... read more 

Cross-modal latent alignment enables efficient compression of wearable sEMG and accelerometer signals.

Scientific reports Jun 3, 2026
Efficient compression of multimodal biosignals is critical for bandwidth-constrained wearable devices. Existing methods compress surface electromyography (sEMG) and accelerometer signals independently, ignoring their inherent coupling where muscle ac... read more 

Visual cues and strategies for perceiving elasticity.

Proceedings. Biological sciences Jun 3, 2026
A key to interacting with the physical world is the ability to visually infer object properties, like elasticity, allowing us to anticipate object behaviour. Such perceptual inferences continue to challenge artificial intelligence systems, highlighti... read more 
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