Harry Klein, PhD, on MatchMiner: An Open-Source AI Precision Medicine Trial Matching Platform

MatchMiner is an open-source precision medicine trial matching platform developed at Dana-Farber. In 2017, we set out with two main goals. The first is to accelerate enrollment onto precision medicine trials, and the second is to provide more trial options for patients. Here at AACR 2023, we presented on some additional data that's following up our publication in npj Precision Oncology, where we report a clinical impact for MatchMiner. MatchMiner is able to get patients onto trials about 55 days faster compared to other methods that we found, and this is a great benefit for precision medicine trials. We also report on some of the characteristics of our MatchMiner consents. We find a vast array of different genes and cancer types in patients that enroll onto our precision medicine trials. This shows that MatchMiner can help a vast array of different patients across departments at any institution. We are now moving forward with a new study for MatchMiner that uses AI and natural language processing to sort patients after they've matched to trials. The MatchMiner algorithm matches all live patients to all open trials at any given point in time, but most patients are not ready to enroll onto a trial. Therefore, we partnered with Dr. Kenneth Kehl at Dana-Farber to develop a natural language processing model that essentially takes radiology scan text and makes a likelihood prediction if a patient is ready to enroll onto a trial or not. If that patient is ready to enroll into a trial, then we send an email to the oncologist to the patient saying, "Here are all the trial options that are currently available." And this is a study that is ongoing this year and will have results early next year. We currently have two institutions using MatchMiner, Memorial Sloan Kettering and Princess Margaret Cancer Center. For more information on MatchMiner, you can visit our website at matchminer.org and find information about the MatchMiner software on our GitHub links on the website.