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Mendel has validated its clinical AI technology with third party statistical verification.
Mendel is the only company to validate outcomes with AI in a clinical setting.
UPDATES & NEWS — 2 MIN READ
Mendel.ai is improving identification of suitable cancer patients and matching to clinical trials. Mendel.ai, a US-based company founded in 2016, uses AI tools to analyse clinical data, including medical history and genetic analysis, from cancer patients. Its goal is to facilitate clinical trials in oncology research by organising and analysing RWD, and matching patients to the right clinical trials.45 They take medical data from many structured and unstructured data sets and turn these into data digitised patient journeys aligned to specific treatments. Having collected data on over 1 million journeys, its algorithm can segment patient populations by their demographic, such as how African American women with breast cancer respond to a particular drug. In essence creating in silico or patient-less trials. The AI algorithm built on these data helps trial recruitment by finding eligible patients.
VIDEO — 8 minutes
Mendel's CEO Karim Galil was a guest in Hospital-to-Home by UCSF Health Hub. Karim presented how Mendel transforms EMR data and clinical literature.
Interview — 25 min
Mendel's CEO Karim Galil was a guest in Bootstrap Lab's Applied AI Insiders Series. Karim talked about race to a COVID-19 Vaccine using AI.
UPDATES & NEWS — 2 MIN READ
We’re now excited to announce our new COVID-19 AI search engine which is available to the public here. Mendel ingested and absorbed more than 50,000 scholarly articles, released by the White House, related to Coronaviruses and COVID-19. Researchers, epidemiologists, and clinicians can use this tool to ask questions about COVID-19 and glean relevant answers in seconds — a process that can take a human numerous hours, days, or even weeks to conduct.
UPDATES & NEWS — 2 MIN READ
Researcher using Mendel’s COVID-19 search engine found evidence that hypertension drug Diltiazem may halt virus replication.
A Comparison of the Results of AI-Assisted vs Standard Methods in 3 Oncology Trials
