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News Medical on MSNMachine learning tool predicts cancer treatment response based on genetic mutationsA groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes-insights that could help doctors ...
In the past, plant breeding primarily involved the selection of plants with desirable characteristics through trial and error ...
The genes included those involved in the function of energy-producing mitochondria, lipid and iron metabolism, and the ...
Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
Candidate genetic variants included in a genetic risk algorithm may not meet standards of reasonable clinical efficacy in identifying opioid use disorder risk, according to a study published in JAMA ...
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