Opportunities for Artificial Intelligence in Cancer

About the Symposium – Opportunities for Artificial Intelligence in Cancer

In recent years, machine learning technology such as deep learning artificial intelligence has made tremendous breakthroughs in diverse fields ranging from self-driving cars, speech and natural language processing, financial forecasting to even creating works of art. Given these advances, one may wonder: how might artificial intelligence impact our understanding and treatment of cancer? To help answer this question, we welcome you to join us for a special two-day virtual symposium, where leading experts from UCI will discuss active work in artificial intelligence applied to cancer research. Key topics include: overview of machine learning technology as applied to healthcare; active research in areas such as brain, breast, lung, prostate and colon cancer; opportunities for engagement at UCI and beyond. All invited lectures and topics will be discussed in a manner accessible to a broad audience regardless of existing expertise or experience in the field. Students, trainees, fellows, faculty, and staff are all encouraged and welcome to participate. 

About the Workshop – Introduction to Neural Networks and Tensorflow

Following a series of invited lectures from leading researchers at UCI, where high-level machine learning concepts and applications will be discussed, we invite participants to take a deep dive into AI theory with Dr. Peter Chang. In this two-hour hands-on workshop, participants will gain an intuitive understanding of neural networks and build a working model to classify hand-written digits. All Python code will be written in Jupyter notebooks hosted by Google Colaboratory, with links and tutorials provided for review after the session; no special hardware or setup is need. Though no formal machine learning background is required, those without experience in Python coding are recommended to review online tutorials prior to the workshop.

Schedule

Friday, August 14th

2:30 PM – 5:30 PM

Pramod P. Khargonekar, Vice Chancellor for Research
Introduction

Peter Chang, Assistant Professor-in-Residence, Dept. of Radiological Sciences
Topic: Introduction to Artificial Intelligence in Cancer

Daniela Bota, Vice Dean for Clinical Research , Dept. of Neurology
Topic: AI in Neuro-oncology

Lydia Su, Professor, Dept. of Radiological Sciences
Topic: AI in Breast Cancer

Roozbeh Houshyar, Assistant Clinical Professor, Dept. of Radiological Sciences & Urology

Topic: AI in Genitourinary Cancer

Discussion

Saturday, August 15th

9:00 AM – 11:30 PM

Daniel Chow, Assistant Professor-in-Residence, Dept. of Radiological Sciences
Topic: The Role of Clinicians in AI Research

William Karnes, Associate Clinical Professor, Dept. School of Medicine, Division of Gastroenterology
Topic: AI in Colon Cancer Prevention

Xiaohui Xie, Professor, Dept. of Computer Science
Topic: AI in Lung Cancer

Discussion

Workshop

12:30 PM – 2:30 PM

Peter Chang, Assistant Professor-in-Residence, Dept. of Radiological Sciences

Introduction to Neural Networks and Tensorflow

Please contact the Cancer Research Institute with any questions at nrdrisco@uci.edu or kjarema@uci.edu

Website: https://cancerresearch.uci.edu