A machine learning-based algorithm to predict which cancer patients benefit from immunotherapy

Scientists at the Institute for Research in Biomedicine (IRB Barcelona), in collaboration with the Centre for Genomic Regulation (CRG) and Radboud University, have developed an algorithm that can predict which cancer patients are more likely to benefit from immunotherapy. Mutations in our DNA can disrupt protein synthesis, sometimes causing truncated proteins which don’t work as intended. Known as nonsense mutations, […]

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Machine learning’s next frontier: Epigenetic drug discovery

Machine learning’s powerful ability to detect patterns in complex data is revolutionizing how we drive, how we diagnose disease and now, how we discover new drugs. Scientists at Sanford Burnham Prebys Medical Discovery Institute have developed a machine-learning algorithm that gleans information from microscope images—allowing for high-throughput epigenetic drug screens that could unlock new treatments for cancer, heart disease, mental […]

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Machine learning model flags individuals with familial hypercholesterolemia for first time at national level

The FH Foundation, a leading research and advocacy organization, announced today that a machine learning algorithm effectively identified individuals with probable familial hypercholesterolemia (FH) for the first time at a national scale through its FIND FH initiative. FH is a common genetic disorder that carries a 20-times higher risk for life-threatening cardiovascular disease, but today less than 10 percent of […]

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Important results for brain machine interfaces

Data from Mental Work project, conducted as an experimental artwork at EPFL’s Artlab, indicates that BMI is robust and accessible to the general public, spurring new research collaborations in Switzerland on user experience. Brain-machine interfaces are rarely found outside of medical clinics, where the disabled receive hours or days of training in order to operate wheelchairs with their minds. Now […]

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Open source machine learning tool could help choose cancer drugs

The selection of a first-line chemotherapy drug to treat many types of cancer is often a clear-cut decision governed by standard-of-care protocols, but what drug should be used next if the first one fails? That’s where Georgia Institute of Technology researchers believe their new open source decision support tool could come in. Using machine learning to analyze RNA expression tied […]

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