A synthetic organic chemist by training, I spent the first few years of my career at the bench. I've been working as a software engineer for more than 15 years, with the last 10 years focused on delivering applications that help enable scientists. Prior to joining JAX, I spent time at the Broad Institute and was exited to be part of a team that worked to deliver the BioAssayResearchDatabase. Since joining the Computational Sciences group here at JAX, I've worked closely with Clinical and was excited to lead the software team that built JAX-Clinical Knowledgebase (CKB) (https://ckb.jax.org/).
Precision medicine in oncology relies on rapid associations between patient-specific variations and targeted therapeutic efficacy. Due to the advancement of genomic analysis, a vast literature characterizing cancer-associated molecular aberrations and relative therapeutic relevance has been published. However, data are not uniformly reported or readily available, and accessing relevant information in a clinically acceptable time-frame is a daunting proposition, hampering connections between patients and appropriate therapeutic options. One important therapeutic avenue for oncology patients is through clinical trials. Accordingly, a global view into the availability of targeted clinical trials would provide insight into strengths and weaknesses and potentially enable research focus. However, data regarding the landscape of clinical trials in oncology is not readily available, and as a result, a comprehensive understanding of clinical trial availability is difficult.