AI Medical Compendium

Waterproof Pressure Sensor Leveraging Nano-/Microdeformation of Microstructure under Pressure for Collecting Wide-Range Human Physiological Signals Underwater Stably.

ACS sensors Jun 1, 2026

Underwater physical signal collection is crucial for helping athletes evaluate health and optimize training methods. However, it is difficult for existing underwater devices to simultaneously collect stable and accurate subtle pulse signals and large... read more

Advancing Lithium-Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence-Driven Design Paradigms.

Advanced materials (Deerfield Beach, Fla.) Jun 1, 2026

Lithium-oxygen batteries (LOBs) are regarded as one of the most promising next-generation energy storage systems, owing to their exceptionally high theoretical energy density. However, their practical application remains severely hindered by sluggish... read more

Packed by the Surface: Relating Surface Structure and Solvation Properties at Solid/Water Interfaces.

Journal of chemical theory and computation Jun 1, 2026

Our progress in interfacial chemistry has traditionally relied on understanding how surfaces interact directly with reactive species. However, a growing number of studies highlight an equally important, indirect role of surfaces: reshaping the local ... read more

Integrated Network Pharmacology and Machine Learning to Reveal the Mechanisms of Schisandrin A Against Triple-Negative Breast Cancer.

Journal of cellular and molecular medicine Jun 1, 2026

This study aimed to elucidate the mechanism of action of Schisandrin A in the intervention of triple-negative breast cancer (TNBC). Through the application of network pharmacology and the integration of targets from multiple databases, the research i... read more

Photonic-Enabled Energy-Efficient Transparent Neuromorphic Computing Devices: A Review.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jun 1, 2026

In the evolving field of artificial intelligence (AI), two notable trends are emerging: the rapid growth of large AI model sizes and the surge of vast amounts of data. Moore's law emphasizes the need for alternative computing paradigms to meet the ri... read more

Formative feedback to improve pharmacology learning: Proposed principles and guidelines for effective practice.

British journal of clinical pharmacology Jun 1, 2026

AIMS: To learn effectively, students need timely, specific, actionable feedback-known as formative feedback-on what and how well they are learning and on how to improve further. Providing effective feedback to help students learn pharmacology is a co... read more

Artificial Intelligence-Based Body Composition Analysis Reveals Sex-Specific Prognostic Markers and Their Clinical Value in Gastric Cancer: A Multicenter Study.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jun 1, 2026

BACKGROUND AND AIMS: Conventional body composition assessment fails to capture its multidimensional complexity in gastric cancer (GC). This study aimed to systematically evaluate multidimensional body composition and its clinical relevance in GC. MET... read more

Diagnosis and classification of thalassemia disease using machine learning: Comparative analysis of traditional models and a novel hybrid approach.

Technology and health care : official journal of the European Society for Engineering and Medicine Jun 1, 2026

Thalassemia is a hereditary blood disorder characterized by abnormal hemoglobin production. Common diagnostic methods include complete blood count, high-performance liquid chromatography, and hemoglobin electrophoresis. While physicians make the fina... read more

Deep blueprint: A literature review and guide to automated image classification for ecologists.

The Journal of animal ecology Jun 1, 2026

Deep learning (DL) is a powerful tool to extract ecological information from large image datasets efficiently and consistently. However, applying these methods remains challenging, due in part to the complexity of DL workflows and the dynamic nature ... read more

Organ-Specific Cancer-Associated Fibroblast Subtypes Across the Digestive System Linked to Cancer Hallmarks.

Cancer science Jun 1, 2026

Cancer-associated fibroblasts (CAFs) are major stromal components of the tumor microenvironment (TME) and play diverse roles in gastrointestinal (GI) cancer progression, immunity, and therapeutic resistance. However, the heterogeneity, tissue specifi... read more

Artificial Intelligence Medical Compendium