Sharecase

Women In Technology at UCSF (WIT@UCSF) presents a panel discussion that will explore ways to engage and collaborate with our tech communities and create an environment that fosters gender equity and inclusiveness. Research shows that companies perform better when teams are diverse and their people feel included and engaged, but getting there is not often easy.

Please join us for a lively discussion highlighting how different groups connect to stay informed and help make decisions about diversity issues in and around the technology community.

In the last few years, deep learning models have been successfully applied to problems for which we can’t isolate the best imaging biomarkers. Combining rich corpus of dataset and automated data-driven feature extractions algorithms, feature learning using Convolutional Neural Networks (CNN) has shown superiority to hand-crafted and conventional rule-based approaches.

In 2012, the UC Office of the President awarded an innovation grant to the Patient Support Corps (PSC) as a collaborative project between UCSF and UC Berkeley. Our program trains UC Berkeley students to serve as patient scribes who connect patients with valid information online; list patient questions; take notes; and make audio-recordings of pivotal medical consultations. 

Getting more traffic from search engines like Google is an art and a science. In this session, we will share the practical marketing, design, and technical strategies that CTSI's Research Technology team used to more than triple traffic to clinicaltrials.ucsf.edu, the public-facing directory of every eligible clinical trial at UCSF.