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 ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
A review of machine learning (ML) models developed to support the management of chronic lymphocytic leukemia (CLL) have demonstrated positive outcomes, including accurate diagnosis and improved work ...
Mikhail Karasikov and his colleagues at ETH Zurich worked on MetaGraph, a search engine designed for genomic databases ...
A new tool developed at, MetaGraph, allows scientists to search through vast public DNA and RNA databases in seconds — like a ...
Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark ...
Discover the emerging field of AI-based peptide discovery and design – could this signal the beginning of a golden age for ...
News-Medical.Net on MSN
AI predicts cell responses to drugs and genetic changes
Controlling the state of a cell in a desired direction is one of the central challenges in life sciences, including drug development, cancer treatment, and regenerative medicine.
The field of plant science is witnessing rapid advancements, particularly through the integration of genomics with artificial ...
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