AI Medical Compendium

Mechanochemical and machine-intelligent design of programmable materials: From molecular interactions to macroscale functionality.

Materials today. Bio May 8, 2026

Programmable materials are an emerging class of matter capable of dynamically altering their properties, structure, or function in response to external stimuli. While most research has treated chemical and mechanical responsiveness separately, integr... read more

Food-derived bioactive peptides in gut-muscle Axis regulation: Potential and challenges from microbiota homeostasis to muscle metabolism remodeling.

Food research international (Ottawa, Ont.) May 8, 2026

The global population is aging at an accelerating pace, and sarcopenia has emerged as a central challenge to elderly health. Food-derived bioactive peptides, as natural functional compounds, can interact significantly with the gut microbiota, thereby... read more

Novel machine learning fusion architectures integrating electrocardiogram representations: applications to acute coronary event detection.

European heart journal. Digital health May 8, 2026

AIMS: AI in electrocardiography (ECG) has diverged into two paths: traditional signal processing with machine learning, and deep learning of raw waveforms. The former preserves physiological interpretability but may miss novel patterns, while the lat... read more

Research on interpretable machine learning modeling and spatial prediction of cross-landform landslide disaster mechanism: A case study of Shaanxi Province.

PloS one May 8, 2026

The differential understanding of the landslidetriggering mechanisms across various geomorphic units is vital for enhancing regional disaster prevention. This study investigates the Loess Plateau area in northern Shaanxi and the Qinba Mountain Area i... read more

Systematic evaluation of the DeepSeek large language model for clinical diagnostic reasoning.

PloS one May 8, 2026

BACKGROUND: Artificial intelligence (AI) is undergoing an era of transformative advancement, particularly through the emergence of Transformer-based large language models (LLMs). While these systems demonstrate strong reasoning and generalization cap... read more

Target Detection and Localization for Mobile Molecular Communication by Deep Learning Methods.

IEEE transactions on nanobioscience May 8, 2026

Mobile molecular communication (MMC) has various promising applications, such as environmental monitoring, targeted drug delivery and artificial biointelligence. However, the dynamic nature of MMC poses significant challenges for accurate target dete... read more

Graph Rotation Network: Equivariant Graph Neural Network for Efficient Inverse Design in 4-D Printing.

IEEE transactions on neural networks and learning systems May 8, 2026

Four-dimensional printed structures transform shape under external stimuli, and designing these structures to achieve desired deformation outcomes is crucial for 4-D printing technology. Current machine-learning (ML)-assisted methods can design 4-D-p... read more

Generative Learning Imaging Framework for Millimeter Wave Synthetic Aperture Radar.

IEEE transactions on neural networks and learning systems May 8, 2026

Accurately reconstructing synthetic aperture radar (SAR) images from incomplete echo measurements is the fundamental problem in simplifying SAR systems and reducing sensing costs. In solving this problem, the recently emerged deep learning SAR imagin... read more

Transformer-Based Modular Motion Generation Through Shoulder-Arm Decoupling for Upper Limb Rehabilitation.

IEEE transactions on bio-medical engineering May 8, 2026

The shoulder girdle is one of the most complex components of the upper limb, and when coupled with the arm, modeling and prediction become even more challenging. To address this, we propose a modular motion-planning framework that explicitly decouple... read more

NRRS: Neural Russian Roulette and Splitting.

IEEE transactions on visualization and computer graphics May 8, 2026

We propose a novel framework for Russian Roulette and Splitting (RRS) tailored to wavefront path tracing, a highly parallel rendering architecture that processes path states in batched, stage-wise execution for efficient GPU utilization. Traditional ... read more

Artificial Intelligence Medical Compendium