AI Medical Compendium

Organic neuromorphic vision devices with multilevel memory for palmprint identification.

Chemical science Jan 21, 2026

Neuromorphic visual devices have emerged as a critical strategy to address the limitation of the von Neumann bottleneck. However, the role of interfacial molecular engineering-specifically the modulation of polar groups in polymer gate dielectrics-in... read more

Nanotechnology and machine learning synergies for improving the bioavailability and functional efficacy of dietary polyphenols.

Food research international (Ottawa, Ont.) Jan 21, 2026

Dietary polyphenols exhibit diverse bioactivities, but their clinical application is limited by poor bioavailability due to low solubility, rapid metabolism, and restricted absorption. This review systematically summarizes recent advances in nanocarr... read more

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

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

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

Leveraging Artificial Intelligence to Enhance Oncology Care Delivery in Sub-Saharan Africa.

Mayo Clinic proceedings. Digital health Jan 20, 2026

Associations between prenatal exposure to indoor air pollution and ambient particulate matter with infant growth.

Journal of environmental sciences (China) Jan 20, 2026

Despite growing concern, the developmental effects of prenatal exposure to indoor and ambient particulate pollution remain poorly characterized. This study examined their individual and joint associations with infant growth. Embedded in the PKUBC-T b... read more

CBAM-ST-GCN: An enhanced DRL-based end-to-end visual navigation framework for mobile robot.

Neural networks : the official journal of the International Neural Network Society Jan 20, 2026

Visual-based navigation for mobile robot poses significant challenges due to limited visual perception and the presence of unforeseen dynamic obstacles. Deep reinforcement learning (DRL) provides an end-to-end solution by directly mapping raw sensor ... read more

Rotation equivariant quantum graph neural networks with trainable compression encoder and entanglement-enhanced aggregation.