AI Medical Compendium

Cancer workforce-a global crisis: a Lancet Oncology Commission.

The Lancet. Oncology May 31, 2026

The shortage of well-trained personnel to deliver cancer care and conduct research remains a major obstacle to reducing disparities in cancer survival between high-income countries and low-income and middle-income countries (LMICs). This Commission s... read more

Non-invasive assistive framework for sign language recognition using software-defined radio sensing and deep learning.

Disability and rehabilitation. Assistive technology May 31, 2026

PURPOSE: This study proposes an early-stage, non-invasive assistive framework as a proof-of-concept for American Sign Language recognition (ASLR) using radio-frequency (RF) sensing and time-series deep learning (DL) techniques. The framework aims to ... read more

Multimodal machine learning for early risk stratification of post-stroke cognitive impairment.

Journal of Alzheimer's disease : JAD May 30, 2026

BackgroundPost-stroke cognitive impairment (PSCI) is a major vascular contributor to dementia, significantly impacting long-term recovery and quality of life. Developing accurate prediction models are essential for early identification and timely int... read more

Machine Learning-Enhanced SERS Sensor Using Microgroove Structures for Enriching and Confining Nanoplastics in Localized 3D Hotspots.

Analytical chemistry May 30, 2026

Trace detection of nanoplastics (NPs) is limited by random analyte deposition and poor contact with hotspots. A major hurdle for on-site monitoring is the precise localization of enriched analytes. To address these challenges, we developed a 3D Ag/In... read more

pKa Predicting Models Trained with a Tautomer-Compatible Graph Dataset with Quantum Chemical Features.

Journal of chemical information and modeling May 30, 2026

G-pKa, a database of 6379 experimental pKa values and QM properties from more than 39000 structures, and pKa predicting models are presented. The data include molecular, atomic, and interatomic properties and are organized as graphs, enabling their u... read more

Computing Anharmonic Free Energies in Solids with Machine-Learning Interatomic Potentials.

The journal of physical chemistry letters May 30, 2026

Accurate free energies are essential for understanding phase stability and constructing phase diagrams, yet harmonic and quasiharmonic approximations become increasingly inaccurate at elevated temperatures, while thermodynamic integration remains com... read more

Integrating AI in Medicinal Chemistry for Accelerated Drug Discovery: A Comprehensive SAR (CSAR) Optimization Strategy and Discovery of Potent ALDH3A1 Inhibitors.

Journal of medicinal chemistry May 30, 2026

Developing potent, selective small-molecule inhibitors remains a major challenge in drug discovery. ALDH3A1, a detoxifying aldehyde dehydrogenase isoform implicated in cancer and neurodegeneration, is a promising yet underexplored therapeutic target.... read more

Ultraprecise Sign Language Recognition Realized by Self-Recoverable Near-Infrared Mechanoluminescent Materials.

Advanced materials (Deerfield Beach, Fla.) May 30, 2026

Advancements in human-machine interaction technology require flexible sensors to possess core capabilities, including high stability, anti-interference properties, and self-powering functionality. Traditional electrical sensors usually struggle to ad... read more

Quantitative MRI of pediatric chronic kidney disease and renal fibrosis: potential non-invasive clinical biomarkers.

Pediatric radiology May 30, 2026

Chronic kidney disease (CKD) in children is a rare but serious condition characterized by progressive renal dysfunction and a range of systemic complications. Renal fibrosis plays a central role in disease progression, representing irreversible damag... read more

Analysis of electroencephalogram microstates and spectral power in children and adolescents with attention deficit hyperactivity disorder.

European child & adolescent psychiatry May 30, 2026

Attention-Deficit/Hyperactivity Disorder (ADHD) is a widely recognized neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity. Behavioral assessment, the current gold standard for diagnosis, is subject to inaccuracie... read more

Artificial Intelligence Medical Compendium