AI Medical Compendium

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

Synthetic love in the digital age: AI-mediated emotional investment and gendered romantic dependence.

The Behavioral and brain sciences Jun 1, 2026

Digital technology has transformed romantic relationships, influencing men's and women's emotional investment differently. Drawing on "Romantic Relationships Matter More to Men than to Women," this commentary examines how artificial intelligence (AI)... read more

Emerging Trends in Additive Manufacturing for Thermoelectric Devices: Materials, Structures, and Engineering Approaches.

ACS applied materials & interfaces Jun 1, 2026

Energy harvesting is gaining importance in the 21st century, with thermoelectric (TE) technology offering a promising method for converting thermal energy into electrical energy. However, the application of TE devices remains relatively low because o... read more

MPMFMol: Multitask Self-Supervised Pretraining with Multimodal Fine-Tuning for Molecular Property Prediction.

Journal of chemical information and modeling Jun 1, 2026

Molecular property prediction is essential in drug discovery for early-stage compound evaluation. Recently, contrastive learning has demonstrated significant potential under limited labeled data by constructing augmented views. However, current augme... read more

Identification of Polyamine Metabolism-Related Biomarkers in Psoriasis: A Study Based on Transcriptomics and Single-Cell Sequencing.

Experimental dermatology Jun 1, 2026

Psoriasis (PS) is linked to altered polyamine metabolism, which may drive chronic inflammation and abnormal keratinocyte proliferation. We integrated transcriptomics and single-cell RNA sequencing (scRNA-seq) to identify polyamine metabolism-related ... read more

Artificial Intelligence Medical Compendium