Controlling the state of a cell in a desired direction is one of the central challenges in life sciences, including drug ...
Abstract: Polygenic risk scoring (PRS) holds promise for improving disease prediction and medical treatments by evaluating an individual’s genetic susceptibility through multiple genetic variants.
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark ...
Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
Rationale: Genetic risk scores (GRS) of Th1/2/17-related loci may be associated with response to biologics. We leveraged previously published machine learning-derived GRSs associated with plasma ...
Bryce Vissel does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...
Cornell researchers have contributed to a multi-institutional study of how the nomadic Turkana people of northern Kenya—who have lived for thousands of years in extreme desert conditions—evolved to ...
aDepartment of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China bInstitute of High-End Intelligent Health Equipment, Academy of Orthopedics, Guangdong Province ...