machine learning – Medxy AI

Universal School-Based Mindfulness Fails to Outperform Standard Care for Adolescent Mental Health: Insights from the MYRIAD Trial

By MedXY 02/19/2026

A large-scale analysis of the MYRIAD trial indicates that universal school-based mindfulness training does not superiorly reduce depression risk in adolescents. While machine learning identified certain potential responders, the clinical benefits remained trivial, though short-term improvements in teacher burnout were noted.

Critical Care Diabetes & Endocrinology news

Precision Prognostics in Sepsis: How Stress Hyperglycemia and Glucose Variability Define Mortality Risk Across Metabolic Profiles

By MedXY 02/04/2026

This study reveals that combining stress hyperglycemia ratio and glucose variability significantly improves mortality prediction in sepsis, with risk patterns varying significantly based on a patient's baseline metabolic status (Normal, Pre-DM, or DM).

Diabetes & Endocrinology news

Predicting the Clock: Machine Learning Refines Insulin Timing in Gestational Diabetes Management

By MedXY 02/04/2026

A secondary analysis of the EMERGE trial reveals that Random Survival Forest models utilizing early glycemic data can accurately predict the time to insulin initiation in women with gestational diabetes, offering a roadmap for personalized metabolic management and improved maternal-fetal outcomes.

news Oncology

Machine Learning Accurately Predicts Distant Recurrence and Ribociclib Treatment Benefit in HR+/HER2- Early Breast Cancer

By MedXY 01/13/2026

Researchers have developed a machine learning model using real-world and clinical trial data to predict distant recurrence risk and ribociclib's therapeutic effect in HR+/HER2- early breast cancer, offering a potential tool for personalized adjuvant treatment decisions.

Cardiology Diabetes & Endocrinology news

SGLT2 Inhibitors Demonstrate Cardioprotective Benefits Even in Low-Risk Type 2 Diabetes Populations: Insights from a Causal Forest Analysis

By MedXY 01/07/2026

A nationwide target trial emulation study reveals that SGLT2 inhibitors provide cardiovascular benefits across a broader range of patients than previously recognized, with benefit more closely tied to individual metabolic traits than traditional risk scores.

Cardiology news Radiology

Beyond Body Mass Index: How Sex-Specific Fat Distribution Drives Cardiovascular Ageing

By MedXY 01/03/2026

A large-scale UK Biobank study reveals that while visceral and liver fat accelerate cardiovascular ageing in both sexes, subcutaneous and android fat specifically impact males, whereas gynoid fat may offer protective benefits.

AI General Surgery news

Predicting Post-Hepatectomy Liver Failure with the PILOT Architecture: Integrating Liver Regeneration Biomarkers and Time-Phased Machine Learning

By MedXY 12/29/2025

The novel PILOT machine learning architecture integrates time-phased perioperative data and regeneration-associated biomarkers to predict post-hepatectomy liver failure within six hours of surgery, significantly outperforming traditional clinical models and enabling early personalized risk stratification.

AI Critical Care news

Precision Rehabilitation: Machine Learning Reveals Why ‘Early Mobilization’ Fails Some ICU Patients While Saving Others

By MedXY 12/26/2025

A secondary analysis of the TEAM trial using machine learning demonstrates that enhanced early mobilization in mechanically ventilated patients has highly individualized effects, ranging from a 34% mortality reduction to a 39% increase in risk, depending on baseline clinical characteristics.

Clinical Updates news Respiratory Transplantation

Development and Validation of an Interpretable Hybrid Machine Learning Model for Predicting Long-term Lung Transplant Outcomes

By MedXY 12/13/2025

This review synthesizes evidence on a novel hybrid machine learning model leveraging US lung transplant registry data to predict mortality or retransplant risk at 1, 5, and 10 years, highlighting its clinical utility and balanced interpretability.

AI news Rheumatology

Deep learning classifies focus score and Sjögren’s disease from minor salivary gland biopsies and highlights a CD8+ acinar pattern

By MedXY 12/01/2025

A multicentre deep‑learning model reliably classified biopsy focus score and ACR‑EULAR–defined Sjögren’s disease (AUROC ≈0.88–0.89) and identified a novel CD8+ T‑cell peri‑acinar pattern associated with disease; prospective validation is needed.

Gastroenterology news Oncology

Proteogenomic Insights into Personalized Adjuvant Chemotherapy for Extrahepatic Cholangiocarcinoma

By MedXY 10/28/2025

Comprehensive proteogenomic profiling in resected extrahepatic cholangiocarcinoma reveals predictive biomarkers for tailoring adjuvant chemotherapy, offering a precision medicine approach to improve patient outcomes.

news Psychiatry Public Health

Unlocking the Complexity of Co-Occurring Chronic Pain and Psychological Distress in Young Adults: Insights from Machine Learning and Explainable AI

By MedXY 10/24/2025

This study applies machine learning and explainable AI to identify factors associated with chronic pain, psychological distress, and their co-occurrence in Norwegian young adults, highlighting the importance of integrated approaches for early intervention.

AI Critical Care Emergency Medicine Pediatrics Specialties

Advancing Early Pediatric Sepsis Detection: Machine Learning Models Predicting Onset Within 48 Hours

By MedXY 10/21/2025

This study developed and validated machine learning models with high accuracy to predict early pediatric sepsis and septic shock within 48 hours using multisite electronic health record data in emergency departments.

AI news Oncology Radiology Specialties

Advancing Precision Medicine in Hepatocellular Carcinoma: Machine Learning Radiomic Models Surpass Clinical Biomarkers in Predicting Immunotherapy Outcomes

By MedXY 09/27/2025

Integrated radiomic-clinical machine learning models outperform traditional clinical biomarkers in predicting survival and treatment response in unresectable hepatocellular carcinoma patients undergoing atezolizumab plus bevacizumab therapy.

General Surgery news Oncology Specialties

Optimizing Treatment Selection for Hepatocellular Carcinoma: Machine Learning Guidance in Choosing Liver Transplantation versus Surgical Resection

By MedXY 09/23/2025

A machine learning model accurately stratifies patients with hepatocellular carcinoma to guide individualized selection between liver transplantation and surgical resection, improving survival outcomes while addressing donor scarcity and patient heterogeneity.

AI Cardiology Specialties

Harnessing Machine Learning to Predict High-Risk Coronary Artery Disease: Insights from the SCOT-HEART Trial

By MedXY 09/14/2025

Machine learning models trained on clinical data improve prediction of coronary artery disease on CT scans compared to traditional risk scores, potentially guiding better resource utilization in cardiovascular care.

Clinical Updates news Oncology Pathology & Lab Medicine

Revolutionizing Early Detection of Pancreatic Cancer: A cfDNA Fragmentomics and Machine Learning Model

By MedXY 09/08/2025

A new cell-free DNA fragmentomics model combined with machine learning achieves high accuracy for early pancreatic cancer detection, potentially improving patient outcomes through timely intervention.

AI Cardiology Specialties

Advancing Acute Coronary Syndrome Care: ECG-Based Machine Learning Enhances Risk Stratification

By MedXY 08/16/2025

A prospective study shows that machine learning models trained on 12-lead ECG features outperform HEART score in predicting mortality among chest pain patients, improving risk-based care precision.

$Explainable Artificial Intelligence for Predicting Refractory Ulcerative Colitis: Insights from a Japanese Nationwide Registry$

AI Clinical Updates Gastroenterology news Specialties

Explainable Artificial Intelligence for Predicting Refractory Ulcerative Colitis: Insights from a Japanese Nationwide Registry

By MedXY 08/07/2025

A machine learning model using nationwide registry data accurately predicts long-term remission in refractory ulcerative colitis and identifies key prognostic factors such as pseudopolyps.