Short Description: Our project aims to create an AI-driven platform designed to enhance the efficiency and precision of decision-making for primary care pediatricians, with a focus on identifying potential rare genetic disease cases.
Lessons learned: (1)Understanding that technology and clinical decision-making tools represent a small segment within the broader healthcare delivery process (2) We need to identify the strategic entry points for our technology, which is crucial in aligning our solutions with the key stages of care provision.
Names and Affiliation of Team members:
Jeremy D. Wu, Research Postdoc at CHOP. Short Bio: PhD Math Penn ’23, MA Statistics Wharton ’22. BSc. Math McGill ’18.
Jingye Yang, Data Science Postdoc Fellow at Penn & CHOP. Short Bio: PhD Math Penn ’23, MA Statistics Wharton ’22. MA Applied Math and Comp. Science ’18
Andy Zeng, Visiting Research Scholar and MCIT Candidate at Penn. Short Bio: PhD Math Penn ’21, MASt Math Cambridge ’15. 2 YOE of AI & data science working experience in big data analytics, building quantitative model, and natural language processing.
