AZoLifeSciences on MSN13d
Machine Learning Addresses Ancestral Diversity in Disease Prediction
To ensure that medical genetic research better represents and benefits people from all backgrounds, researchers at the ...
Science Daily13d
AI tool to make genetic research more comprehensive
Researchers have developed PhyloFrame, a machine-learning tool that uses artificial intelligence to account for ancestral diversity in genetic data.
Using machine learning tools to detect gene mutations from leukemia cell images
Gene mutations in acute myeloid leukemia (AML) cells can guide treatment options, and machine learning can rapidly guess the ...
EurekAlert!5d
Generating asset pricing model via symbolic modeling—a machine learning-based approach
Researchers develop Symbolic Modeling—an AI-powered technique creating unified mathematical models for financial asset ...
Hosted on MSN11mon
Machine learning-powered robot streamlines genetic research process
University of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research. In their ...
Computer engineers develop AI tool to account for ancestral diversity in genetic data
University of Florida researchers are addressing a critical gap in medical genetic research—ensuring it better represents and benefits people of all backgrounds.
Precision Medicine Online10d
Equitable Machine Learning Reduces Ancestry Bias in Predictions of Cancer Outcomes
By correcting for ancestral bias in publicly available datasets, PhyloFrame produces better outcomes predictions for ...