YSPH Biostatistics Seminar: "Unlocking the Full Potential of Image Data in Research: The Journey from Analytics to Artificial Intelligence"

BIS 526 students are required to attend in person. Others are allowed to attend in person but may also attend via zoom.

Speaker: Di Feng

Title: Unlocking the Full Potential of Image Data in Research: The Journey from Analytics to Artificial Intelligence

Abstract:

As artificial intelligence application continues to evolve and advance, the integration of AI capability into R&D within the biotech and pharmaceutical industries is increasingly trending. With the accumulation of vast amounts of image data related to therapeutic compounds, data scientists have a unique opportunity to make a significant impact in drug development. This also poses challenges that require careful consideration, real-world practice, and innovative solutions. In this talk, I will explore the strategies and approaches for testing, validating, and implementing AI analytics in preclinical efficacy studies and prognosis studies. Collaboration is key to driving AI application and improving the quality of analysis of granular data, leading to innovation in drug discovery.