A predictive model utilizing serum metabolic profiles was able to distinguish ovarian cancer from control samples with 93% accuracy, according to a new study. Machine learning–based classification ...
The healthcare industry generates a lot of data about patients, illnesses, and diagnoses, but it isn't being used correctly to produce the desired results. Heart disease and stroke are two of the main ...
The team from the Sensing, Interaction & Perception Lab at ETH Zürich, Switzerland have come up with TapType, an interesting text input method that relies purely on a pair of wrist-worn devices, that ...
Radiomics can be defined as the quantitative extraction of a high number of features from medical images for discovery of new predictive, diagnostic or prognostic imaging biomarkers of disease.
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