Results 241 to 250 of about 160,180 (288)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Reducing stigma, isolation, and misconceptions in advanced breast cancer: a global expert review and call-to-action for 2025-2035 (Goal 8). [PDF]

open access: yesBreast
Kaur R   +8 more
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Radiomic signatures to estimate survival in patients with advanced hepatocellular carcinoma treated with sorafenib: Cancer and Leukemia Group B 80802 (Alliance). [PDF]

open access: yesESMO Open
Dercle L   +19 more
europepmc   +1 more source

Exploring the links between NITAGs and academic institutions: a landscape analysis protocol. [PDF]

open access: yesBMJ Open
Oduwole EO   +6 more
europepmc   +1 more source

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