MIT Engineers Use Machine Learning to Develop Ultra-Strong Aluminum Alloy for 3D Printing
Published on October 21, 2025 by Julia S. Creating alloys means combining two or more metals to achieve new and...
Machine
Enhancing Hybrid Methods Optimizes Parameterized Quantum Circuits For Variational Algorithms And Machine Learning
Parameterized quantum circuits underpin many promising applications of near-term quantum computers, and optimising these circuits is a central challenge in...
Prevalence, associated factors, and machine learning-based prediction of depression, anxiety, and stress among university students: a cross-sectional study from Bangladesh | Journal of Health, Population and Nutrition
Mental health is a crucial component of overall well-being, encompassing an individual’s psychological, emotional, and social state. Despite its importance,...
Machine learning-based prediction of preeclampsia using first-trimester inflammatory markers and red blood cell indices | BMC Pregnancy and Childbirth
Baseline characteristics of pregnant womenThis study included a total of 17,955 pregnant women, of whom 17,381 were non-preeclamptic and 574...
Machine learning-based prediction of luminal breast cancer subtypes using polarised light microscopy
Human breast cancer samplesInstitutional ethics approval was obtained from the participating hospital institutions, University Health Network and Sunnybrook Hospital, both...
Diagnostics of diabetic retinopathy based on fundus photos using machine learning methods with advanced feature engineering algorithms
Ong, K. L. et al. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence...
