ScienceDaily: Computers & Math News

Data is not only the answer to numerous questions in the business world; the same applies to biomedical research. In order to develop new therapies or prevention strategies for diseases, scientists need more and better data, faster and faster. However, the quality is often very variable and the integration of different data sets often almost impossible.

A new deep learning algorithm trained to optimize doses of propofol to maintain unconsciousness during general anesthesia could aid anesthesiologists and augment monitoring, according to a new study.