Deep Learning in Biomedicine

Event Overview

Come learn how researchers in academia and industry are using Deep Learning algorithms for applications in the fields of biomedicine. You will hear how these methods are being put to use in medical imaging, physiological signal processing, molecular modeling, and more. You will also have an opportunity to attend hands-on sessions in the afternoon. The day will conclude with a reception and poster session, in which you can showcase your work and/or view the work of your colleagues, while helping to grow your academic network!

** Email to submit a poster. Poster entries will be considered for a grand prize (provided by NVIDIA), which will go to the poster judged as the “Most Innovative use of Deep Learning in Biomedicine”.

Agenda

Genentech Hall Atrium
8:30 – 9:00 Arrival and Check-in (coffee and light breakfast served)

Genentech Hall Byers Auditorium
9:00 – 12:30 Featured Presentations

9:00 Welcome
Michael Gropper, MD, PhD
Chair, Department of Anesthesia and Perioperative Care

9:15 AI and Echocardiography
Rima Arnaout, MD
Assistant Professor, UCSF Cardiology

9:45 Predicting Joint Degeneration Using Deep Learning
Valentina Pedoia, PhD
Assistant Professor, UCSF Radiology

10:15 Coffee Break

10:30 Quantifying Intra-tumoral Heterogeneity in Individual Breast Cancers
Neeraj Kumar, PhD
Postdoctoral fellow, UIC Pathology

11:00 From Bits to Bedside™: Translating Big Data into Precision Breast Oncology
Dexter Hadley, MD, PhD
Assistant Professor, UCSF Bakar Computational Health Sciences Institute

11:30 Deep generative models for single-cell RNA sequencing
Romain Lopez, PhD candidate (Lab of Nir Yosef & Michael Jordan)
UC Berkeley Dept of Electrical Engineering and Computer Science

12:00 Machine Learning for Protein Engineering
Jennifer Listgarten, PhD
Professor, UC Berkeley Dept of Electrical Engineering and Computer Science

Genentech Hall Atrium
12:30 – 1:30 LUNCH BREAK (lunch provided for attendees who register prior to March 5, 2019)

Genentech Hall N-117
*1:30 – 3:00 Hands-on Training, Advanced session: Modeling Time Series Data with Recurrent Neural Networks in Keras

Genentech Hall Byers Auditorium
*1:30 – 3:30 Hands-on Training, Beginner session: Fundamentals of Deep Learning for Computer Vision
*Concurrent sessions

3:00 – 4:30 Featured Presentations

3:00 A Deep Learning Healthcare System
Beau Norgeot, PhD
Postdoctoral fellow, UCSF Bakar Computational Health Sciences Institute

3:30 Trusted Digital Credentials for Doctors
James Brogan, MD candidate
CTO, truu.id

4:00 NVIDIA research
Massimiliano Fatica, PhD
NVIDIA Director of HPC

4:30 – 5:00 Panel Discussion

Pallav Sharda, MD, MA, MBA
Global Lead, Healthcare, Google Cloud

Mohsen Hejrati, PhD

Fausto Milletari, PhD

Dmytro Litieuv, PhD
Postdoctoral Fellow, Bakar Computational Health Sciences Institute

Genentech Hall Atrium
5:00 – 6:00 Posters / Reception (drinks and snacks served)

EVENT SPONSORED BY: