AI Medical Compendium

Dataset of scattered images using noncoherent light under varying diffusion conditions and projected patterns.

Data in brief Feb 2, 2026

This data article presents an experimental dataset of scattered images, obtained using a low-cost, open-source, Raspberry Pi-based optical system. Each data sample includes two grayscale images of 256 × 256 resolution: the (i) scattered image, and (i... read more

MedQA-MA: A Moroccan Arabic medical question-answering dataset for virtual healthcare assistants and large language models.

Data in brief Feb 2, 2026

The healthcare domain constitutes a fundamental pillar of national development, as maintaining population health not only enhances citizens' quality of life but also generates substantial economic benefits through increased productivity, innovation, ... read more

Noninvasive skin imaging of melanocytic and nonmelanocytic tumours: recent findings.

Current opinion in oncology Feb 2, 2026

PURPOSE OF REVIEW: Early diagnosis of skin cancer is essential for patient care. Noninvasive skin imaging devices have become increasingly used for the assessment of melanoma and nonmelanoma skin cancers (NMSC). This article reviews the scientific li... read more

Global priorities for advancing cancer survivorship.

Current opinion in oncology Feb 2, 2026

PURPOSE OF REVIEW: Cancer survivorship is increasingly recognized as an important component of cancer care, yet access to high-quality care remains inconsistent globally. This review highlights priorities for advancing survivorship care worldwide, fo... read more

Physics-informed TVAE workflow for data augmentation, mechanical validation, optimization of CFRP-strengthened CFST beams.

MethodsX Feb 2, 2026

This article presents a reproducible, physics-informed workflow designed to address data scarcity in the analysis and design of carbon fiber-reinforced polymer (CFRP)-strengthened concrete-filled steel tube (CFST) members. Conventional tabular genera... read more

Predictive mixed-gas detection using rGO/In2O3 nanocomposite sensors assisted by machine learning.

Nanoscale advances Feb 2, 2026

Selectivity towards specific analytes and detection at sub-ppm levels remain significant challenges for chemiresistive gas sensors. Hybrid materials, like reduced graphene oxide (rGO) combined with metal oxides, possess higher sensitivity at ultralow... read more

Machine Learning-Based Beam Delivery Time Model for Mevion S250i With Hyperscan Technology.

International journal of particle therapy Feb 2, 2026

PURPOSE: Accurate prediction of beam delivery time (BDT) is critical for operational efficiency, 4D dose calculations, and advanced proton therapy techniques. Despite its importance, no machine-specific BDT model exists for Mevion systems. METHODS: W... read more

Machine learning-assisted screening of small-molecule drugs for suppressing protein aggregation and ROS generation based on ECL and CV dual-mode signals amplified by DNA.

Chemical science Feb 2, 2026

Screening of small-molecule drugs to suppress both protein aggregation and reactive oxygen species (ROS) generation is critical for developing therapies for neurodegenerative diseases (NDs). However, existing methods are limited to characterizing onl... read more

Micro-/nanorobots in nanomedicine - Guidance, imaging and the integration of AI and robotics.

Biochemical and biophysical research communications Feb 2, 2026

The integration of robotics and artificial intelligence (AI) into nanomedicine represents a significant advancement in developing targeted therapeutic and diagnostic platforms. This field focuses on engineering micro- and nanoscale agents, such as ma... read more

Identification of patients at risk for adverse events and poor symptom improvement after transcatheter aortic valve implantation.

American heart journal plus : cardiology research and practice Feb 2, 2026

BACKGROUND: Transcatheter aortic valve implantation (TAVI) aims to improve symptoms and prognosis, while minimising adverse outcomes. Available prediction models focus on individual outcomes, but those combining adverse events and symptom improvement... read more

Artificial Intelligence Medical Compendium