Artificial Intelligence Medical Compendium

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

Showing 16,801 to 16,810 of 213,633 articles

Exploring and Targeting the Connection of Iron and Copper Homeostasis to Neurodegenerative Diseases.

MedComm May 18, 2026
Iron (Fe) and copper (Cu) are vital micronutrients that regulate many critical physiological processes in the human body, with their homeostasis in the central nervous system (CNS) being essential for proper neuronal function. Disruptions in their me... read more 

Recycling nickel-rich cathodes toward structural and functional circularity: a perspective.

Chemical science May 18, 2026
The increasing use of nickel-rich (Ni ≥ 0.6) layered oxide cathodes in lithium-ion batteries creates an urgent need for recycling, for which existing elemental-recovery methods are not well suited. Unlike process-based classifications, the present fr... read more 

Empowering precision source apportionment and risk management of microplastics with an optimized fingerprint-receptor model and smart platform.

Journal of hazardous materials May 18, 2026
Accurate source apportionment of sediment microplastics (MPs) is essential for effective ecological risk management. However, conventional receptor modeling often yields high uncertainty due to the limited diversity of input variables. To address thi... read more 

Dual-channel synergistic conduction in layered potassium titanates for ppb-level H2S sensing and real-time leak localization.

Journal of hazardous materials May 18, 2026
H2S is a highly toxic and flammable gas, and mitigating its excessive emissions to protect the environment and human health remains a global challenge. In this study, we developed a high-performance room-temperature H2S sensor based on layered potass... read more 

Explainable machine learning for predicting longitudinal dementia status: Establishing a leakage-free benchmark.

PLOS digital health May 18, 2026
Dementia research often suffers from methodological pitfalls such as label-information and subject-information leakages. Leveraging the longitudinal OASIS-2 cohort, this study identifies and addresses three critical gaps in prior research: (i) inclus... read more 

BudFinder: A Masked Auto-Encoder vision transformer framework for yeast budding detection and lifespan quantification.

PLoS computational biology May 18, 2026
Studying replicative aging in yeast is a central component of aging research. Recent advances in time-lapse microscopy and microfluidics now enable continuous, high-resolution tracking of individual yeast cells throughout their lifespan. However, qua... read more 

Fold-Switching Proteins Push the Boundaries of Conformational Ensemble Prediction.

Annual review of biomedical data science May 18, 2026
A protein's function depends critically on its conformational ensemble, a collection of energy-weighted structures whose balance depends on temperature and environment. Though recent deep learning methods have substantially advanced predictions of si... read more 

A novel hybrid framework integrating GA-driven 3D ResUNetGAN for MRI brain tumor segmentation.

PloS one May 18, 2026
Accurate brain tumor segmentation by multi-modal MRI is crucial for diagnosis, treatment planning, and prognostic assessment. This work proposes a novel hybrid architecture within a GA optimized by 3D residual U-Net (ResUNet) with generative adversar... read more 

The Data Science of Health in Space.

Annual review of biomedical data science May 18, 2026
Spaceflight exposes humans to unique stressors that remodel biology. Space health is emerging as a data science discipline grounded in multiomic atlases, harmonized biobanks, and open, findable, accessible, interoperable, and reusable (FAIR)-aligned ... read more 

Large Language Models in Mental Health Research and Treatment.

Annual review of biomedical data science May 18, 2026
Mental health challenges add immensely to the global burden of disease, yet traditional approaches to psychological assessment and care remain resource intensive and often inaccessible. There is widespread interest in testing whether advances in arti... read more 
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