AI Medical Compendium

Elucidating the anti-colorectal cancer mechanism of Physalis Calyx seu Fructus extract via mass spectrometry-molecular networking and bioinformatics.

Scientific reports Apr 28, 2026

Chemical profiling combined with computational analysis highlighted luteolin and chrysoeriol as candidate anti-colorectal cancer (CRC) compounds in Physalis Calyx seu Fructus (PCF) extract, potentially associated with MMP9 and CDK1. Ultra-performance... read more

Enhancing security information and event management with W2V-BERT-based real-time threat detection.

Scientific reports Apr 28, 2026

Machine learning enabled unique chip feature extraction approach for semicustom delay variant PUF.

Scientific reports Apr 28, 2026

The article presents a chip feature extraction approach to create unique and unclonable hardware fingerprints to increase reliability in a hardware security system. A static D flip-flop-based delay counter is used as a delay unit to propose a lightwe... read more

A railway surface defect detection model based on topology-enhanced feature association.

Scientific reports Apr 28, 2026

Rail defect detection is essential for ensuring railway safety and enabling reliable maintenance. However, existing methods often struggle in complex environments, where feature ambiguity and occlusion significantly degrade detection performance, lea... read more

Deep learning models to predict mammographic density jointly on standard dose and low dose images.

The British journal of radiology Apr 28, 2026

OBJECTIVES: Mammographic density is associated with increased risk of developing breast cancer. Automated estimation of density in women below normal screening age would enable earlier risk stratification. We are piloting the use of low dose mammogra... read more

'World models' are AI's latest sensation: what are they and what can they do?

Nature Apr 28, 2026

Unified time series classification framework for explainable artificial intelligence.

Scientific reports Apr 28, 2026

Ion correlations explain kinetic selectivity in diffusion-limited solid-state synthesis reactions.

Nature materials Apr 28, 2026

Establishing viable solid-state synthesis pathways for novel inorganic materials remains a major challenge in materials science. Previous pathway design methods using pairwise reaction approaches have navigated the thermodynamic landscape with first-... read more

Federated learning-driven intelligent framework for multi-center radiotherapy dose distribution prediction oriented toward linear accelerators.

Scientific reports Apr 28, 2026

High-quality radiotherapy dose distribution prediction for linear accelerators remains a labor-intensive process constrained by inter-planner variability and institutional data silos. While deep learning has shown promise in automating dose distribut... read more

BLEND blockchain and federated learning enabled data sharing network.

Scientific reports Apr 28, 2026

Combining blockchain and federated learning has emerged as a promising solution for secure, privacy-preserving data sharing and collaborative training of machine learning models in decentralised settings. However, their methods suffer from scalabilit... read more

Artificial Intelligence Medical Compendium

Elucidating the anti-colorectal cancer mechanism of Physalis Calyx seu Fructus extract via mass spectrometry-molecular networking and bioinformatics.

Enhancing security information and event management with W2V-BERT-based real-time threat detection.

Machine learning enabled unique chip feature extraction approach for semicustom delay variant PUF.

A railway surface defect detection model based on topology-enhanced feature association.

Deep learning models to predict mammographic density jointly on standard dose and low dose images.

'World models' are AI's latest sensation: what are they and what can they do?

Unified time series classification framework for explainable artificial intelligence.

Ion correlations explain kinetic selectivity in diffusion-limited solid-state synthesis reactions.

Federated learning-driven intelligent framework for multi-center radiotherapy dose distribution prediction oriented toward linear accelerators.

BLEND blockchain and federated learning enabled data sharing network.

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Artificial Intelligence Medical Compendium

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