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Neuton Use Cases for Neural Network and Machine Learning

Drug discovery
There are many life-threatening diseases that we have yet to find a cure for, like Cancer, HIV, Alzheimer’s etc. It is very expensive and time consuming to synthesize and test all of the different permutations.
AI-driven solutions based on previous data and medical intelligence can help facilitate the research process. This allows for drawing non-intuitive insights about drug candidates, or even attempting to model the whole biological systems to identify novel pathways, targets and biomarkers.
Why Neuton:
Unlike other solutions, based on only a small training set of biomedical and clinical data Neuton can (efficiently? or effectively?) help choose the best molecules to use, with the desired properties, for development of a particular drug or treatment.