november, 2019

04nov12:20 pm1:00 pm2019 AI CampDeep transfer learning and radiomic feature prediction of high grade glioma patient survival12:20 pm - 1:00 pm

Event Details

Deep transfer learning and radiomic feature prediction of high grade glioma patient survival
Lei Qin, PhD

 

The camp will focus on machine learning and artificial intelligence, and its application in genomics, pathology, radiology, and clincal data, with hands-on practice, demo, and features talks from 15 experts. The course is organized into three sections: Foundation part will cover mathematics behind the neural network models, tools and resources for deep learning, and a two-hour python hand-on course; Application part will include practical examples and various application in genomics, pathology, radiology, clinical, real-world data. In the end, we will have an Open Discussion about the challenges and unsolved questions in AI, with a panel of doctors, biologists, and computational scientists. So, it will be an exciting event and lots to expect!

Time

(Monday) 12:20 pm - 1:00 pm

Location

BTM VTC 02006B

70 Francis Street

Organizer

Bioinformatics Clubxdong@rics.bwh.harvard.edu

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