NLM Ada Lovelace Lecture: Can Data Science and AI Deliver on Its Promise for Improving Public Health?

About this Class

The National Library of Medicine (NLM) Division of Intramural Research (DIR) is pleased to welcome Manisha Desai, PhD, Section Chief of Biostatistics and Director of the Quantitative Sciences Unit at Stanford University School of Medicine, to give the 2024 NLM Ada Lovelace Computational Health Lecture entitled, “Can Data Science and AI Deliver on Its Promise for Improving Public Health?” Please join us on November 13, 2024, at 11:00am in the NLM Visitor Center (Building 38A) and online via NIH Videocast.

Data science has played an essential role in solving many public health problems. For example, clinical trials are data-intensive and are the gold standard for establishing standard of care for treating many diseases. More recently there has been a rise in the use of data science to develop artificial intelligence (AI)-based tools that present promising solutions of how we diagnose, monitor, and treat patients. For example, AI algorithms that leverage imaging data have provided insight into how to diagnose conditions or more accurately stage cancer. However, there have been many failures in translation. To realize the promise of data science and AI, there are many challenges to address, including the complexity of the intervention design itself, the underlying data used to establish AI-based algorithms, and the way AI-based interventions are evaluated. Vignettes of trials that evaluate AI-based tools illustrate issues and potential solutions.

Ada Lovelace Day, an annual observance named for one of the first woman computer programmers, celebrates women in science, technology, engineering, and mathematics (STEM). The NLM Ada Lovelace Computational Health Lecture series, introduced in 2020, recognizes the contributions of computer scientists in research on health and biomedicine and invites them to share their pioneering research with NIH and beyond.

Event will be videocast LIVE online