AI Medical Compendium

Dominant factors governing benzene adsorption in soils: thermodynamic analysis and predictive modeling.

Environmental science. Processes & impacts Apr 27, 2026

Understanding the processes controlling benzene adsorption in soils is critical for predicting their environmental fate and associated risks. However, the adsorption behavior of benzene across different soil components and under varying environmental... read more

Spectroscopic control of fish products: simultaneous recognition of species and thawed status in large-scale distribution.

Italian journal of food safety Apr 27, 2026

In the context of globalized food production, traceability is a key requirement in the fisheries sector, particularly for prepared and packaged fish products, where processing may hinder visual inspection and increase the risk of mislabeling. Reliabl... read more

Predicting Acute Myocardial Infarction in the Absence of Detectable Atherosclerotic Plaque With Perivascular Coronary Inflammation.

JACC. Case reports Apr 27, 2026

BACKGROUND: Coronary computed tomography angiography (CTA) with analysis by artificial intelligence (AI) can personalize coronary artery disease risk stratification. CASE SUMMARY: A 61-year-old man with coronary artery disease risk factors sought ris... read more

Protocol to benchmark and evaluate the status of imbalance measure using correlation, data complexity, and ablation analyses.

STAR protocols Apr 27, 2026

Machine learning struggles with imbalanced data. Although several mitigation approaches exist, their application depends on the extent of imbalance. To determine the latter, a protocol was developed. Across 428 synthetic and 70 real datasets, 8 imbal... read more

Predicting abdominal obesity in children and adolescents via machine learning: a longitudinal cohort study.

Journal of pediatric endocrinology & metabolism : JPEM Apr 27, 2026

OBJECTIVES: This study aimed to construct and verify machine learning (ML) models to predict long-term abdominal obesity (AO) risk in children and adolescents. METHODS: We trained and externally validated ML models to predict pediatric AO 4-5 years l... read more

Adjuvant databases and knowledge bases for data-driven research: a computational biology perspective.

Current opinion in virology Apr 27, 2026

In adjuvant research, which has long relied on experience and trial and error, advancements in technologies in broad areas, including artificial intelligence (AI)/machine learning, enabling data-driven research, have supported the introduction of mor... read more

Artificial intelligence and computerized decision support in adult intensive care: A systematic review of randomized controlled trials.

Journal of critical care Apr 27, 2026

BACKGROUND: Artificial intelligence (AI) and computerized clinical decision support systems (CDSS) are increasingly applied in intensive care, yet their clinical impact remains uncertain, as most studies focus on model development rather than prospec... read more

Chemical dosage optimization in kitchen wastewater treatment via an integrated bio-chemical model.

Journal of environmental management Apr 27, 2026

To address the challenges of achieving organic compliance in kitchen wastewater treatment and the high cost of chemical dosing, this study established a two-stage reactor incorporating both biological and chemical processes and proposed an optimal re... read more

HeartBERT: A self-supervised ECG embedding model for efficient and effective medical signal analysis.

Computers in biology and medicine Apr 27, 2026

The analysis of Electrocardiogram (ECG) signals is critical for clinical applications, but current machine learning methods often face limitations when dealing with smaller datasets or intricate signal patterns. We introduce HeartBERT, a novel model ... read more

Systems Biology Identifies TARS2 as a Cardiomyocyte Regulator of Mitochondrial Oxidative Stress in Dilated Cardiomyopathy.

JACC. Basic to translational science Apr 27, 2026

Dilated cardiomyopathy (DCM), a leading cause of heart failure, is characterized by progressive cardiomyocyte (CM) loss and mitochondrial dysfunction; yet, the molecular drivers of mitochondrial oxidative stress (MitOS) remain unclear. By integrating... read more

Artificial Intelligence Medical Compendium