Tempus, a technology company focused on helping doctors personalize cancer care by collecting, sorting and analyzing clinical and molecular data and the University of Michigan Comprehensive Cancer Center have entered into a second collaboration aimed at identifying the most effective care for individuals diagnosed with breast cancer by analyzing molecular data related to in-vitro biological models developed at the university.
As part of the newest collaboration, Tempus will use bioinformatics and machine learning to analyze molecular, phenotypic, therapeutic and to the extent available outcome data for hundreds of breast cancer patients. Tempus and researchers at U-M will then utilize this data to improve the utility of various patient derived biological models, which can be grown and used for drug screening in an effort to learn how best to treat patients in a personalized manner.
The University of Michigan Comprehensive Cancer Center is among the top-ranked national cancer programs for both research and patient care. It is one of 47 centers designated "comprehensive" by the National Cancer Institute and one of 27 institutions that make up the National Comprehensive Cancer Network, which sets national guidelines for consistent, high-quality and cost-effective cancer care.
“We have more treatment options for advanced breast cancer than for any other solid tumor, yet far too many women still die of this disease,” said IHPI member Sofia Merajver, Scientific Director of the Breast Oncology Program at the University of Michigan. “We are looking forward to working with Tempus, whose technology will help us gain new insight into why certain models are more representative of patients than others, and how we can adopt these models to improve their efficacy.”