CCDS News
Explore the latest research breakthroughs, collaborations, and accomplishments from the Center for Cancer Data Science (CCDS).
Award
New ARPA-H funding on advancing trustworthy AI for clinical decision support
October 31, 2024
A collaborative team from SEAS and PSOM including Dr. Qi Long has received in September 2024 a $7-million, four-year award from the Advanced Research Projects Agency for Health (ARPA-H) […]
Award
New NCI U01 on developing responsible AI tools to address data bias and disparities in cancer research
June 26, 2023
Dr. Qi Long received a new U01 grant from NCI, entitled “Robust Privacy Preserving Distributed Analysis Platform for Cancer Research: Addressing Data Bias and Disparities.” This grant enables Dr. Long’s group […]
Award
Team Penn won the Honorable Mention in the NIH Long COVID Computational Challenge (L3C)
June 26, 2023
Dr. Qi Long’s lab in the CCDS partnered with Dr. Mayur Naik’s lab in Computer and Information Science to form a team, Team Penn, to participate in the NIH Long […]
Award
The Pre-medical Cancer Immunotherapy Network for Canine Trials (PRECINCT) renewed for another five years
October 26, 2022
Qi Long, PhD and Nicola Mason, B.Vet.Med, PhD received a new five year U24 grant from NIH/NCI in September, 2022 to continue leading the Coordinating Center for the Pre-medical Cancer […]
Announcement
The new Biomedical Data Science Seminar Series is launched
September 9, 2022
Our Center for Cancer Data Science (CCDS) is co-sponsoring the new Biomedical Data Science Seminar Series launched in September, 2022, with the Center For AI and Data Science for Integrated […]
Publication
New in JNCI: Pandemic not associated with treatment initiation delays for patients with advanced cancer
January 12, 2022
Rebecca Hubbard, PhD, co-led a new JNCI paper that studied >14k patients with advanced cancer in a national EHR database to show that time from diagnosis to treatment and choice of therapy […]
Publication
New at NeurIPS 2021: Assessing Fairness in the Presence of Missing Data
November 17, 2021
Our new paper “Assessing Fairness in the Presence of Missing Data” has been accepted for publication at NeurIPS 2021, a leading machine learning /artificial intelligence conference. Learn More
Publication
New in PNAS: Minority collapse in deep learning, unfairness for minority groups in high-stakes decisionmaking
November 17, 2021
Our recent PNAS paper introduced the Layer-Peeled Model in deep learning that can: 1) predict a hitherto unknown phenomenon termed “Minority Collapse” in imbalanced training; and 2) explain neural collapse […]
Publication
New in JAMA: Some Cancer Patients More Likely to Receive Immunotherapy, Despite Lack of Benefits
November 12, 2021
Rebecca Hubbard, PhD, and Qi Long, PhD, are co-authors on this new JAMA Oncology paper that finds solid-tumor cancer patients ineligible for clinical trials receive immunotherapy at greater rates — […]