Use Cases for Artificial Intelligence and Machine Learning in Early-stage Life SciencesWhite paper
In every generation, certain technological advancements in healthcare have emerged that have “changed everything.” For example, the discovery of penicillin in the 1940s revolutionized medicine, transforming what was once a potentially deadly strep throat into a trivial infection. We now find ourselves at the dawn of another paradigm-shifting event: the rise of artificial intelligence (AI) and machine learning (ML) in medicine.
Among the various domains AI is set to revolutionize, none will be more profoundly affected than the life sciences in the drug discovery and development areas. The life sciences industry presents an array of use cases for AI and ML, ranging from accelerating research and development to optimizing clinical trials and improving patient outcomes. In this paper, we will explore ten use cases of AI and ML in research and development within the life sciences industry.
Steven Labkoff is one of the leading clinician-informaticians in the US today with nearly 30 years of experience in the life sciences and healthcare sector. Trained in medical informatics, cardiology, and internal medicine (Harvard, MIT, University of New Jersey, and University of Pittsburgh), Steve has deep expertise in generating, managing, and analyzing data to accelerate drug development, personalize patient care, and improve medical outcomes.
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