Frontiers

Innovative Machine Learning Strategies for Therapeutic Target Identification in Cancer Drug Discovery

Cancer remains one of the leading causes of morbidity and mortality worldwide, characterized by complex genetic and molecular ...
European Medical Journal

AI-Enhanced Approaches to Interstitial Lung Disease: A Review of Machine Learning Advances

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Market.us Scoop

Machine Learning in Transportation Market to hit USD 78.5 Billion by 2033

The Machine Learning in Transportation Market size is expected to be worth around USD 78.5 Billion by 2033, growing at a CAGR ...
Heart

Predicting cardiovascular events from routine mammograms using machine learning

Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...
News-Medical.Net

Deep learning algorithm uses mammograms and age for heart disease prediction

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...
V-MR

Machine Learning as a Service (MLaaS) Market Growth 2023–2030 | Trends, Stats & Forecast

Discover how the global Machine Learning as a Service (MLaaS) market, valued at USD 4.12 billion in 2022, is projected to ...
Frontiers

Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm

1 School of Information Engineering, Anhui University of Chinese Medicine, Hefei, China 2 School of Pharmaceutical Economics and Management, Anhui University of Chinese Medicine, Hefei, China ...
IEEE

Predicting the Classification of Heart Failure Patients Using Optimized Machine Learning Algorithms

Abstract: Heart failure is a critical condition with a high mortality rate, making accurate survival prediction essential for timely interventions. This study proposes an optimized machine learning ...
IEEE

Toward a Standardized Representation for Deep Learning Collective Algorithms

Abstract: The explosion of machine learning (ML) model size has led to its execution on distributed clusters at a large scale. Many works have tried to optimize the process of producing collective ...