Latest News and Research

• We are so excited to be part of the recently announced Weill Cancer Hub West! We are grateful for the gift from the Weill family and their support and looking forward to launching this collaboration between UCSF and Stanford. Julian will be serving as the UCSF Co-Principal Investigator for Project IMPACT-AI which aims to leverage AI and data across both institutions. More to come as we get started! This project would not have been possible without the leadership of Dr. Atul Butte, and we will strive to carry on his legacy: "All the data in the world will not make a difference, unless there are people ready to use it."
• Congratulations on our collaborative team led by Harvineet Singh and Jean Feng on our conference paper at the International Conference on Machine Learning (ICML)! This exciting collaboration proposed SHIFT, a framework for identifying how clinical AI and Machine Learning models break down due to changes in underlying data, and how we can intervene.
• Really excited to share our latest work led by Chichi Chang and team and published in JAMA Network Open. We applied Natural Language Processing (NLP), an AI approach to identify symptoms that pre-date emergency room visits and hospitalizations. The hope is that these automated processes can help us anticipate and reduce future complications.
• We're a go! The Wearable Activity Tracking to Curb Hospitalizations (WATCH) trial is now open! This open study will evaluate our prior models in predicting unplanned acute care for patients who are undergoing cancer therapy.
• Hot off the press, congrats to Travis Zack, now on faculty at UCSF, and CPH student Li-Ching Chen leading our most recent publication "Assessing Large Language Models for Oncology Data Inference From Radiology Reports," investigating the use of large language models to "read" radiology reports in JCO Clincal Cancer Informatics!

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