Two-dimensional Group-III nitrides (h-BN, h-AlN, h-GaN, and h-InN) exhibit great promise for electronic and optoelectronic applications due to their hexagonal structures, thermal stability, and wide ...
An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...
Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...
Starlust on MSN
Earth Day 2026: How satellites are tracking environmental change and helping vulnerable communities
"This Earth Day, we are reminded that solid evidence is the foundation of effective action to protect our planet." ...
Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...
aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, ...
Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...
In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...
A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results