https://ryanorban.com/categories/oncology/Recent content in Oncology on Ryan OrbanHugoen-usme@ryanorban.com (Ryan Orban)me@ryanorban.com (Ryan Orban)Ryan OrbanSun, 31 Mar 2013 00:00:00 +0000https://ryanorban.com/notes/big-data-cancer-treatments/Sun, 31 Mar 2013 00:00:00 +0000me@ryanorban.com (Ryan Orban)https://ryanorban.com/notes/big-data-cancer-treatments/<p><img src="https://ryanorban.com/images/notes/big-data-cancer-treatments.png" alt="Doctors Use Big Data to Improve Cancer Treatments" class="note-hero-img" loading="lazy" /> </p> <h3 id="summary" class="scroll-mt-8 group"> Summary <a href="#summary" class="no-underline hidden opacity-50 hover:opacity-100 !text-inherit group-hover:inline-block" aria-hidden="true" title="Link to this heading" tabindex="-1"> <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" class="lucide lucide-link w-4 h-4 block" viewBox="0 0 24 24" > <path d="M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71" /> <path d="M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71" /> </svg> </a> </h3> <p>By 2013, a few major cancer centers — Memorial Sloan Kettering, MD Anderson, Mayo Clinic — were beginning systematic programs to apply big data methods to oncology. The basic approach: combine genomic sequencing of tumor samples with electronic medical records of treatment protocols and outcomes, then look for patterns between tumor genetic profiles and treatment responses. The hypothesis was that cancer isn&rsquo;t one disease but hundreds, defined by specific mutation patterns, and that matching treatments to molecular profiles rather than tissue of origin would improve outcomes.</p>