Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

At Baylor, the laboratory of Olivier Lichtarge, MD, PhD, used its evolutionary action-machine learning (EAML) framework to analyze the exome sequencing data and prioritize genes with high-impact ...

“With our machine learning framework, we are not only identifying whether a variant occurs frequently, but also, using evolutionary data across all species, we are weighing the likelihood the variant ...

Integrative exome sequencing and machine learning identify new genes contributing to systemic sclerosis risk by Molly Chiu, Baylor College of Medicine edited by Robert Egan Editors' notes ...

Zeolites are microporous crystalline materials with highly regular framework structures consisting of molecular-sized pores and channels. The characteristic framework type of a zeolite is ...

Key takeaways: A machine learning algorithm was able to identify pain archetypes after TKA. Predictors for difficult to control pain included younger age, ambulatory surgery status, higher BMI and ...

Find out how this structured machine learning roadmap called I-Con could lead to breakthroughs in AI. Machine learning periodic table. Image: Shaden Alshammari (MIT graduate student)/YouTube ...

Air conditioning energy consumption in buildings represents a considerable percentage of total energy consumption, which underlines the importance of implementing measures contributing to its ...

advertisement 03-08-2025 IMPACT How machine learning can be used to identify microplastics Data from microplastic analyses can inform health recommendations and policy decisions.

Our recent work addresses this issue by creating a tool with an uncertainty quantification for microplastic identification. We use a machine learning technique called conformal prediction.