AIMC Topic: Risk Assessment
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Biomarker risk stratification with capsule sponge in the surveillance of Barrett's oesophagus: prospective evaluation of UK real-world implementation.
Lancet (London, England)
Jun 23, 2025
BACKGROUND: Endoscopic surveillance is the clinical standard for Barrett's oesophagus, but its effectiveness is inconsistent. We have developed a test comprising a pan-oesophageal cell collection device coupled with biomarkers to stratify patients in...
Inflammation-related 5-hydroxymethylation signatures as markers for clinical presentations of coronary artery disease.
Cardiovascular diabetology
Jun 23, 2025
BACKGROUND: Coronary angiography remains the gold standard for diagnosing coronary artery disease (CAD), but its invasive nature limits its applicability for widespread screening. Identifying non-invasive molecular markers could improve CAD classific...
5-Methylcytosine
Predictive Value of Tests
ST Elevation Myocardial Infarction
Coronary Artery Disease
Inflammation Mediators
Inflammation
DNA Methylation
Cell-Free Nucleic Acids
Non-ST Elevated Myocardial Infarction
Female
Humans
Reproducibility of Results
Middle Aged
Machine Learning
Aged
Risk Assessment
Biomarkers
Male
Severity of Illness Index
Prognosis
Epigenesis, Genetic
Development of Radiomics-Based Risk Prediction Models for Stages of Hashimoto's Thyroiditis Using Ultrasound, Clinical, and Laboratory Factors.
Ultrasound in medicine & biology
Jun 22, 2025
OBJECTIVES: To develop a radiomics risk-predictive model for differentiating the different stages of Hashimoto's thyroiditis (HT).
Ecological risk assessment of oilfield soil through the use of machine learning combining with spatial interaction effects.
Ecotoxicology and environmental safety
Jun 21, 2025
With the intensification of oil extraction activities, total petroleum hydrocarbons (TPHs) and toxic elements contamination in soil around oil wells have become severe environmental problems. This paper proposed a novel method based on machine learni...
Interpretable Machine Learning approach for predicting clinically significant suicide risk: A case study of patients with major depressive disorder in Greece.
Psychiatry research
Jun 20, 2025
Suicide prevention is currently a global public health priority, since suicide has been a prevalent cause of death or potential loss of life. Multiple factors contribute to suicide risk, such as depression and a history of attempted suicide among oth...
MSFCL: Drug Combination Risk Level Prediction Based on Multi-Source Feature Fusion and Contrastive Learning.
Journal of chemical information and modeling
Jun 20, 2025
Accurate assessment of drug combination risk levels is crucial for guiding rational clinical medication and avoiding adverse reactions. However, most existing methods are limited to binary classification, which fails to quantify distinctions between ...
Development of Machine Learning-Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts.
JMIR public health and surveillance
Jun 18, 2025
BACKGROUND: Rapid weight gain (RWG) during infancy, defined as an upward crossing of one centile line on a weight growth chart, is highly predictive of subsequent obesity risk. Identification of infant RWG could facilitate obesity risk assessment fro...
Artificial Intelligence-Based Digital Histologic Classifier for Prostate Cancer Risk Stratification: Independent Blinded Validation in Patients Treated With Radical Prostatectomy.
JCO clinical cancer informatics
Jun 18, 2025
PURPOSE: Artificial intelligence (AI) tools that identify pathologic features from digitized whole-slide images (WSIs) of prostate cancer (CaP) generate data to predict outcomes. The objective of this study was to evaluate the clinical validity of an...
Predicting 14-day readmission in middle-aged and elderly patients with pneumonia using emergency department data: a multicentre retrospective cohort study with a survival machine learning approach.
BMJ open
Jun 17, 2025
OBJECTIVES: Unplanned pneumonia readmissions increase patient morbidity, mortality and healthcare costs. Among pneumonia patients, the middle-aged and elderly (≥45 years old) have a significantly higher risk of readmission compared with the young. Gi...
Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population.
PloS one
Jun 17, 2025
BACKGROUND: Cardiovascular disease (CVD) is a significant public health challenge in the Western Pacific region, including Malaysia.
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