Challenging Long-Held Theories: Evolution Isn’t One-and-Done, New Study Suggests

Repeated environmental changes can lead evolution in unexpected directions, and research from Vermont shows that studying a single population does not capture the full story of an entire species. All ...
AlphaGalileo

Machine Learning-Guided Gradient Dual-Proton Conducting Catalytic Layers for High Temperature Proton Exchange Membrane Fuel Cells in Aviation

A new study published in Engineering by Xin Wang, Jian Yao, Jin Zhang and their colleagues proposes a machine-learning-guided strategy that combines ...

One and done is not enough: Study challenges traditional evolutionary research

Every living being must cope with a changing world—summer gives way to winter, one year it floods and the next is a drought.
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Hosted on MSN

Marines Conduct M240B Machine Gun Training

U.S. Marines with 1st Marine Logistics Group fire M240B machine guns during a live fire range on Marine Corps Base Camp Pendleton, California, June 27, 2025. Through conducting this range, Marines ...
The New York Times

Trump Administration Authorizes Covert C.I.A. Action in Venezuela

The development comes as the U.S. military is drawing up options for President Trump to consider, including possible strikes inside the country. By Julian E. Barnes and Tyler Pager Reporting from ...
Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...
BMJ

Development and validation of a machine learning-based prediction model for frailty in older adults with diabetes: a study protocol for a retrospective cohort study

Introduction Frailty is a common condition in older adults with diabetes, which significantly increases the risk of adverse health outcomes. Early identification of frailty in this population is ...
The Lancet

Development and validation of an interpretable machine learning model for retrospective identification of suspected infection for sepsis surveillance: a multicentre cohort study

eDepartment of Acute Care, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands fDepartment of Internal Medicine, University Medical Center Groningen, University of ...
Frontiers

Development and validation of an explainable machine learning model for predicting osteoporosis in patients with type 2 diabetes mellitus

1 Department of Orthopedics, Panyu Hospital of Chinese Medicine, Guangzhou, China 2 Panyu Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China Objective: ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...