Cleveland Clinic and IBM researchers are using quantum computing to tackle one of the most challenging problems in immuno-oncology: predicting which tumor mutations will trigger an immune response.
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
Clinical outcomes of heart failure in breast cancer patients receiving HER2-directed therapy: A retrospective analysis (2016–2020).
Routine water quality monitoring already generates large volumes of physicochemical data – turbidity, temperature, dissolved oxygen – but converting that into an early warning for microbial ...
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...
Interesting Engineering on MSN
New framework cuts errors by 80%, helps scientists predict fusion machine’s hardware changes
Inside a fusion machine, the plasma can reach temperatures hotter than the Sun’s core ...
Safe drinking water depends not only on treatment, but also on knowing when harmful microorganisms may be present in source ...
In this age of neural net “AI”, even the most skeptical of Butlerians have to agree that these machine learning models can be ...
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