Use Cases for Artificial Intelligence and Machine Learning in Late-stage Life SciencesWhite paper
We are living through one of the most transformative eras in our lifetime. The rise of working, usable artificial intelligence (AI) coupled with machine learning (ML) is transforming so many things in our day-to-day lives that soon, we will wonder how life before AI was possible. The development of new medications and therapies is one of the areas that is poised to change more dramatically than most, thanks to these new technologies. AI and ML have immense potential in various aspects of life sciences, including clinical trials. In Stage 3 clinical trials involving large-scale testing of a potential drug or treatment, AI and ML can be crucial in optimizing processes, improving efficiency, and enhancing decision-making. This paper will discuss ten of the most transformative use cases in the late-stage drug development pipeline, including Stage III clinical trials, Medical Affairs, Safety, and Regulatory Affairs.
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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