AI Medical Compendium

Machine learning accelerated nitrogen electrofixation on dual-atom catalysts.

Nanoscale May 18, 2026

Atomically dispersed catalysts offer the merits of theoretically maximum atomic utilization and adjustable electronic properties. While the current research focuses on single-atom catalysts, new opportunities would be opened by constructing dual-atom... read more

Direct Ab Initio Simulation of the Synthesis of BaZrO3 and the Microstructure Impacts on Proton Transport.

ACS nano May 18, 2026

Controlling and predicting the processing-structure-performance relationship in functional materials is a grand challenge in materials science, with important implications for a wide range of emerging applications; a high fidelity understanding of th... read more

Comparing Facial Attractiveness and Professional Acceptance Between Real and AI-Generated Orthodontic Treatment Outcome Images.

Orthodontics & craniofacial research May 18, 2026

BACKGROUND: Facial attractiveness influences social and professional perceptions, including competence and employability. With the increasing use of artificial intelligence (AI) to generate photorealistic faces, it is important to understand how thes... read more

Machine Learning-Based Model for Predicting Short- and Long-Term Growth in Untreated Class III Malocclusion.

Orthodontics & craniofacial research May 18, 2026

OBJECTIVE: To develop a Machine Learning-based model to predict growth of Caucasian subjects with untreated Class III malocclusion in the short- and long-term. MATERIALS AND METHODS: A longitudinal sample of 144 Caucasian subjects with untreated Clas... read more

Clinical outcomes and predictors of response to PD-(L)1 blockade in patients with NSCLC without actionable genomic alterations who never used tobacco.

Clinical cancer research : an official journal of the American Association for Cancer Research May 18, 2026

PURPOSE: Predictive biomarkers of response to immune checkpoint inhibitors (ICI) remain poorly defined in patients with non-small cell lung cancer (NSCLC) without a history of tobacco use and lacking actionable genomic alterations (AGA). We aimed to ... read more

Characterizing Airborne Particulate Matter During Late-Season Soybean Production Using SEM/EDX Automated Single Particle Analyses and Machine Learning: A Preliminary Study in the Mississippi Delta.

Bulletin of environmental contamination and toxicology May 18, 2026

Airborne particulate matter (PM) may originate from exposed agricultural fields and activities during dry periods. A preliminary study assessed sources of airborne PM in 2023, starting two weeks before soybean harvest. Three passive samplers were pla... read more

Beyond gross total resection (GTR): Deep peritumoral radiomics for predicting overall survival (OS) and O6-methylguanine-DNA-methyltransferase promoter methylation (MGMTpm) status in glioblastoma multiforme.

Neuroradiology May 18, 2026

BACKGROUND & OBJECTIVE: Glioblastoma Multiforme (GBM) is an aggressive and highly heterogeneous brain tumor with poor survival outcomes. While conventional radiomic analyses focus on tumor-centric regions, emerging surgical strategies, such as GTR an... read more

Peptides as integrative modulators for clinical prognosis and targeted therapy in pancreatic cancer.

Discover oncology May 18, 2026

Pancreatic cancer remains a formidable global health challenge, ranking as the twelfth most common malignancy yet claiming an outsized toll with dismal 5-year survival rates 13.3%, largely due to late-stage diagnosis and limited therapeutic options. ... read more

Air pollution-related health impacts from domestic waste burning and associated interventions: the merits of a traditional versus machine learning scoping review methodology.

Environmental monitoring and assessment May 18, 2026

Regularly updating repositories of air pollution impacts on health is essential for evidence-based policies, interventions, and progress monitoring. However, this is often time-consuming and labour-intensive. Automation can ensure up-to-date evidence... read more

Unraveling Atherosclerosis through Multi-omics: Systematic Insights into the Unique Applications and Clinical Perspectives.

Current atherosclerosis reports May 18, 2026

PURPOSE OF REVIEW: Atherosclerosis (AS) is a progressive disease of the arterial wall characterized by metabolic dysregulation, inflammatory activation, and genetic susceptibility. Given the complex interactions across molecular layers, this review a... read more

Artificial Intelligence Medical Compendium