Current and Future Applications of 3D Printing in Breast Cancer Management

3D printing technology has been around for about 40 years. In medicine, we have seen rapid expansion across almost every subspecialty from pre-surgical planning to production of patient-specific surgical devices to simulation and training. However, there is a notable lack of literature on the

Inspiration and Determination Mark COVID Anniversary

New Computational Cancer Community (C3) Provides Forum for Feedback, Collaborations

The Computational Cancer Community (C3) was recently created to provide a forum for labs focused on cancer genomics and computational cancer biology and oncology to share their work and to get feedback and input. Below, steering committee member Franklin Huang, MD, PhD, offers further details about

Store Fat or Burn It? Targeting a Single Protein Flips the Switch

As obesity becomes a growing issue worldwide – nearly tripling over the last-half century – scientists are trying to gain a better understanding of the condition at the molecular level. Now, new research led by UC San Francisco scientists suggests that a single protein could play an outsized role in

Pandemic Brings Career Setbacks for Women in Medicine

Women in academic medicine are facing the prospect of career setbacks as a result of the COVID-19 pandemic. Katherine Van Loon, MD, MPH, Associate Professor of Clinical Medicine and Director of the HDFCCC Global Cancer Program; and Bridget Keenan, MD, PHD, a Clinical Fellow of Hematology/Oncology

‘AutoImmunoprofiler’ Builds on Success in Cancer Research to Advance Treatments for Autoimmune Diseases

UC San Francisco scientists have formed a research alliance with pharmaceutical firm Eli Lilly and Company aimed at better understanding autoimmune diseases and fostering the development of new therapies. Based on the innovative Immunoprofiler model launched at UCSF in 2017, the new initiative

New Test Predicts Tumors Most Likely to Respond to Radiation, Chemotherapy

Many cancer patients might respond better to treatments with the help of a new prognostic indicator based on a distinctive pattern of gene activity within tumor cells, according to a new study of human cancer data and experiments on human cancer cell lines grown in the lab. The new research, led by