CTSA Visiting Scholar Program - Daniel Goldenholz, MD, PhD
The CTSA Visiting Scholar program consists of giving the virtual CTSA Grand Rounds lecture, which is open to the entire CTSA Consortium, and virtual meetings between KL2 Scholars and faculty at the host institution and their KL2 peers. There are two main goals of this program. The first is to offer the opportunity to serve as a visiting professor and help make connections with faculty that will remain beyond the visit. Secondly, this program will foster an exchange of ideas and collaboration among different hubs.
Daniel Goldenholtz, MD, Ph.D. from Harvard Medical School hosted by the University of California San Francisco will present "How much seizure danger is coming tomorrow? A deep learning noninvasive approach." With the rise of increasingly larger datasets, now is the time to begin considering if seizure forecasting is within the reach of patients even without implants. Our preliminary work showed that it is possible to forecast seizures risk with only an electronic seizure diary using deep learning. Is this technology ready for our patients? Will it work in other contexts? How can we make it more accurate?
The CTSA Visiting Scholar program consists of giving the virtual CTSA Grand Rounds lecture, which is open to the entire CTSA Consortium, and virtual meetings between KL2 Scholars and faculty at the host institution and their KL2 peers. There are two main goals of this program. The first is to offer the opportunity to serve as a visiting professor and help make connections with faculty that will remain beyond the visit. Secondly, this program will foster an exchange of ideas and collaboration among different hubs.
Daniel Goldenholtz, MD, Ph.D. from Harvard Medical School hosted by the University of California San Francisco will present "How much seizure danger is coming tomorrow? A deep learning noninvasive approach." With the rise of increasingly larger datasets, now is the time to begin considering if seizure forecasting is within the reach of patients even without implants. Our preliminary work showed that it is possible to forecast seizures risk with only an electronic seizure diary using deep learning. Is this technology ready for our patients? Will it work in other contexts? How can we make it more accurate?
https://staging2.clic-ctsa.org/events/ctsa-visiting-scholar-program-daniel-goldenholz-md-phd University Of California San Francisco admin@clic-ctsa.org America/New_York public