<h1> ITMAT DSG Workshop 2019 </h1> <style> .block { background-color: grey; color: white; padding: 10px; } </style> <style> .block2 { background-color: white; color: blue; padding: 4px; } </style> <h2 class="block">Title</h2> <p> <b> ITMAT Data Science Workshop 2019 on "Data Science Challenges and Opportunities in Translational Medicine" </b> **Focus theme for this year**: "Machine Learning for Translational Medicine & Personalized Healthcare" **Format**: Orals **Budget**: Buffet Lunch and coffee breaks **Audience**: Open to anyone. Max capacity = 100 persons. <h2 class="block">Date & Location</h2> ================================================== **Date**: Thursday September 19th @10h00-16h30 **Place**: Hammersmith, LT1 + café area <h2 class="block">Agenda</h2> ========================= <h2 class="block2">09h30:10h00 - Welcome Coffee </h2> <h2 class="block2">10h00-11h00: Guest Speakers - Orals</h2> TALK 1 - Prof. Jules Griffin (Dpt of Metabolism-Digestion-Reproduction), "TBC" (computational metabbbolic profiling) TALK 2 - 15'+5' TALK 3 - 15'+5' <h2 class="block2">11h00:12h30 - Short talks from ICL projects, Imperial BRC and educational initiatives </h2> (7 “short” talks – 10’) [1] Dr. Tim Ebbels (Dpt Metabolism-Digestion-Reproduction) - "Data Science Stream of the MRes in Biomedical Research" [2] Dr Matt Williams (Dpt Surgery-Cancer & Dpt of Computing), "UG Computational Medicine educational programme" [3] Dr. Bill Crum (ITMAT DSG) - "TBC" [*On technical and governance challenges to consolidate large cohorts of anonymised medical images for machine learning*] [4] Dr Sam Greenbury (ITMAT DSG) - "TBC" [*machine learning on neonatal healthcare data*] [5] Dr Louise Paterson (Dpt of Brain Sciences) - "TBC" [*machine learning for genetic-phenotypic-radiomics*] [6] Tim Hoogenboom (Dpt Surgery&Cancer) - "TBC" [*Image research database & machine learning on liver ultrasound images*] PANEL - 20’ <h2 class="block2">12h30:13h30 - Lunch Buffet </h2> <h2 class="block2">13h30-14h30: Guest Speakers - Orals</h2> TALK 1 - Dr Ben Glocker (Dpt of Computing), "Spot-the-Lesion: Image-based disease detection with deep learning" TALK 2 - Prof Mauricio Barahona (Dpt of Mathematics), TBC, (ML for Precision Healthcare) TALK 3 - Prof Jules Griffin, Department of MDR, TBC <h2 class="block2">14h30:15h00 - Coffee Break </h2> <h2 class="block2">15h00-16h00: Guest Speakers - Orals</h2> TALK 1 - 15'+5' TALK 2 - 15'+5' TALK 3 - 15'+5' Wrap-up panel discussion on needs & challenges
×
Sign in
Email
Password
Forgot password
or
By clicking below, you agree to our
terms of service
.
Sign in via Facebook
Sign in via Twitter
Sign in via GitHub
Sign in via Dropbox
Sign in with Wallet
Wallet (
)
Connect another wallet
New to HackMD?
Sign up