McKinsey estimates that big data and machine learning in pharma and medicine could generate a value of up to $100B annually, based on better decision-making, optimized innovation, improved efficiency of research/clinical trials, and new tool creation for physicians, consumers, insurers, and regulators. When it comes to effectiveness of machine learning, more data almost always yields better results-and the healthcare sector is sitting on a data goldmine.
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