Innovation in clinical research is now more important than ever. How can we leverage new technology to accelerate clinical trials and ultimately bring more treatments to patients sooner? AI has the power to enable smaller, more efficient trials that produce reliable, robust evidence. Digital Twins, or AI-generated predicted outcomes, can be incorporated into trials to decrease enrollment requirements, speed timelines, and facilitate more informed decisions about treatment efficacy. Join Unlearn Founder and CEO, Charles Fisher, PhD, for a discussion around the potential for AI to transform healthcare and cutting edge approaches like Digital Twins that will drive innovation in clinical research.
AI and the Future of Healthcare: Innovation in Clinical Research
Charles is a scientist with interests at the intersection of physics, machine learning, and computational biology. Previously, Charles worked as a machine learning engineer at Leap Motion and a computational biologist at Pfizer. He was a Philippe Meyer Fellow in theoretical physics at École Normale Supérieure in Paris, France, and a postdoctoral scientist in biophysics at Boston University. Charles holds a Ph.D. in biophysics from Harvard University and a B.S. in biophysics from the University of Michigan.