Machine learning evolution in oncology
In this opinion piece from our sister site Oncology Central, find out about the medical applications of machine learning within the oncology field. Highlights include: current challenges for machine learning in the oncology field, more about OncoHost’s PROphet® and how PROphet® helps to overcome these challenges.
Please could you introduce yourself, your scientific background and current scientific interests?
My name is Ofer Sharon, I am the CEO of OncoHost (Binyamina, Israel) and a physician by training. Over the last 20 years, I’ve been building/founding companies that are dealing with the interaction or the intersection between mathematics and medicine, trying to utilize machine learning algorithms and artificial intelligence in clinical scenarios where it may improve the clinical decision making. I used to work as a Chief Medical Officer and researcher, and I was part of the early clinical trials for new immunotherapies that are now being used in several cancer types.
