The World Health Organization reports a steady increase in cancer patients worldwide, marking it as a major health threat.
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Uncovering Key Cancer Driver Genes Through Graph Machine Learning
A recent study published in Nature Biomedical Engineering introduces a groundbreaking AI model called TREE, designed to ...
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New open-source tool maps gene regulation networks in cancer
University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene regulation networks with applications in cancer survival analysis.
A new AI program, SEQUOIA, can analyze a microscopy image from a tumor biopsy (left, purple) and rapidly determine what genes are likely turned on and off in the cells it contains (gene expression ...
SMRTS, a smart mRNA system, enables cell‑selective gene expression, expanding the mRNA toolbox for precision cancer therapies.
What if clinicians could predict the success of any cancer treatment, ensuring each patient receives the most effective care? The challenge lies in the diverse nature of the disease. There are ...
A study recently published in Nature Genetics identifies four genes associated with increased cancer risk and four genes with rare variants associated with reduced cancer risk. A fraction of cancers ...
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