By highlighting the achievements of women in science, we are celebrating not only their contributions to research but also recognizing their struggles navigating what was, for many of them, a non-traditional career.
Chan Zuckerberg Initiative (CZI) Science Program Officer Katja Brose visited JAX to speak about CZI and moderate an Alzheimer’s disease research panel discussion at the JAX Healthcare Forum, an annual gathering of leaders in a wide variety of healthcare fields. JAX was able to catch up with Dr. Brose after her sessions.
With November designated as Family Health History month, clinicians are sure to have seen lots of messaging encouraging their patients to discuss family health history around the holiday table. But what if there is no family history to be gathered?
Machine learning platforms can be fed data to "teach" them to learn patterns and predict outcomes, and they are becoming more important all the time in biomedical research. But what are they? How do they work? And can we peer into the black box of their inner functions to make them more powerful for prediction and discovery?
Harnessing the complex and continued accumulation of data associated with tumors has been traditionally difficult. The majority of cancer efficacy data has been represented as one drug associated with a single alteration. The Clinical Knowledgebase (CKB), powered by JAX, is designed to capture previously reported efficacy data, as well as new data, as it relates to mutations arising from therapeutic resistance or multiple alterations responding to a cocktail of therapies. This tool can aid in the interpretation of complex scenarios and facilitate accurate drug treatment decisions.