Did you know that over 9.6 million people die from cancer yearly, and that this number is expected to continue to grow over the coming years? One of the biggest problems in cancer treatment that leads to so many deaths is that the course of therapy that works for one patient does not necessarily apply to another patient. This is because there are factors that make each individual unique, including genetics, environment, lifestyle, habits, etc. Precision medicine accounts for such factors by enabling personalized treatment plans tailored to each person. In order to accomplish this, it requires access to vast amounts of data and an ability to process, analyze, and determine actionable insights from that data.
I founded Precision Medicine Initiatives, a group of projects with the goal of helping thousands of cancer patients worldwide to receive personalized treatments to improve their prognosis. I hope to accelerate the early diagnoses of patients in order to increase survival rate through the use of artificial intelligence and machine learning to enhance the accuracy of diagnoses, help determine treatment plans, and detect diseases faster and earlier. Precision Medicine Initiatives aims to leverage these technologies to provide aid to healthcare professionals and vastly decrease the number of cancer-related deaths, saving lives through the union of AI and medicine.
Over the past few years, I've conducted numerous projects involving the use of artificial intelligence or machine learning in cancer treatment. Click here to learn more about my projects.
Education: OncoVision Initiative
Precision Medicine Initiatives hopes to improve patient prognosis and decrease the number of cancer-related deaths. However, we plan to do this not only through the use of technology to diagnose and treat cancer, but also through educating people on being able to recognize and screen themselves for symptoms of cancer. So far, we've educated hundreds of people through our OncoVision Initiative. Click the image below to learn more.