Don’t you think people with serious ailments or complex ones or even those who do not have such ailments deserve the best of treatment?
And in order to be advised and administered the latest and most effective treatments, thorough knowledge of the patients’ history is indispensable.
But the doctors, owing to their busy schedules do not always have time to skim through the medical record of each patient as necessary and devise a treatment strategy most optimally matched to the patients’ needs.
Stopping needless deaths in medicine is an issue of urgency, every day thousands of patients succumb due to this gap between research and the practice of medicine.
Attributable to the huge increase in the rate of research, it is practically impossible for any human to stay up to date. And to make the promise of precision medicine real, finding ways for doctors to keep up with all this research and data is of utter importance.
Enter Mendel Health, all these problems seem to evaporate and make way for “data to be in the drivers’ seat”.
Mendel Health or the system which is known as Mendel.ai, focuses on browses through scientific papers to find the latest in cutting-edge medical
research, and by using an algorithm that understands the unstructured, natural language content within medical documents pulled from clinicaltrials.gov, it matches the data with a patient’s medical record. Thus, providing a fully personalized match with evaluated result data pertaining to a patient’s eligibility for each suggested treatment within minutes.This startup, by Dr. Karim Galil, aims to ease the burden of trying to keep up on the exhaustive amount of clinical data for doctors.
The startup is now teaming up with the Comprehensive Blood & Cancer Center (CBCC) in California to allow the center’s doctors to quickly match their patients with available clinical trials in a matter of minutes. Moving forward, they plan to work with hospitals and cancer genomics companies. A more immediate goal, Galil says, would be challenging IBM’s Watson against his system to see which one can match up the patients better.
