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Our Team


Jason Cardinal, MD, MS

Physician Scientist, Technologist


Rosanna Zhang

MIT Student, Entrepreneur

Eddy Chen, M.D.

Eddy Chen, MD

MGH Oncologist, Patient Advocate


John Silberholz, PhD

Data Scientist, MIT Faculty

Winner of Koch Institute "Best Cancer Hack" Award at MIT Hacking Medicine

MIT Grand Hack 2017

Winner of John Snow Labs Data Prize at MIT Hacking Medicine

MIT Grand Hack 2017


Every Patient Deserves A Fighting Chance

Often emotionally and physically overwhelmed, patients do not have the energy, expertise or time to find trials themselves. To terminally ill patients, clinical trials could be their last resort against diseases

Clinical trial enrollment is a complex and time-consuming process for both patients and their physicians. While 70% of patients would like to be considered for clinical trials, only 5% of them are on a trial

First, we survey and capture patient's preferences and priorities using state of the art technology, and anticipate their perceived side-effects severity and inconveniences tolerance level. Then, we analyze patient EMR data and take clinician's input to determine the best course of treatment. We combine these factors together and analyze them against clinical trial data to produce a ranked list of trials that best fit for the patient.

Current trial recruitment processes are both inefficient and costly to Pharma and sponsors of clinical trials. Billions of dollars are bing wasted every year due to patient dropouts and failed clinical trials

Our patient first solution also benefits stakeholders of clinical trials. With the wholistic approach, our enrollment is of better quality. And because we understand patients concerns and priorities up front, we are better equipped to resolve issues that arise during the trial to retain patients better. Our close involvement of patient's primary physicians also ensures clinical care continuity.


Our solutions are designed to maximize therapeutic benefits to patients, both physically and psychologically.


We don't just match patients with trial eligibility criteria; our novel algorithms take a plethora of factors, including patients' preference and priorities into considerations.


We empower clinicians by providing them tools to save time and provide better care; We help Pharma by improving recruitment and reduce dropouts; Most importantly, we improve patients' quality of lives!

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