Machine learning can help us understand conversations about death

Some of the most important, and difficult, conversations in healthcare are the ones that happen amid serious and life-threatening illnesses. Discussions of the treatment options and prognoses in these settings are a delicate balance for doctors and nurses who are dealing with people at their most vulnerable point and may not fully understand what the … Read more

Foraging for information: Machine learning decodes genetic influence over behavior

Mice scurry around while foraging for food, but genetics may be the unseen hand controlling these meandering movements. Researchers at University of Utah Health are using machine learning to draw links between genetic controls that shape incremental steps of instinctive and learned behaviors. The results are available online in Cell Reports on August 13. “Patterns of complex … Read more

Machine-learning-guided directed evolution for protein engineering

Proteins are sequences of amino acids. The amino-acid sequence determines how the protein will fold into a 3D structure. That structure then determines what the protein does. A protein’s amino-acid sequence completely determines its function. However, nobody has figured out how to determine structure or function given the amino-acid sequence. In other words, the mapping … Read more

Machine learning overtakes humans in predicting death or heart attack

Machine learning is overtaking humans in predicting death or heart attack. That’s the main message of a study presented today at ICNC 2019.1 The International Conference on Nuclear Cardiology and Cardiac CT (ICNC) is co-organised by the American Society of Nuclear Cardiology (ASNC), the European Association of Cardiovascular Imaging (EACVI) of the European Society of … Read more