myTomorrows Matches Patients to Clinical Trials Using AI Hosted in Europe
myTomorrows is a health tech platform that uses AI to match deidentified patient medical profiles against clinical trials and expanded access treatments not yet approved for public use. AI-based matching saves around 90 percent of the time compared to manual review by a medical professional, turning a two-hour task into about one minute. Because the platform processes health data, its large language models are hosted in Europe on AWS to comply with GDPR.
Overview
myTomorrows is a health tech platform that uses AI to match deidentified patient medical profiles against clinical trials and expanded access treatments not yet approved for public use. AI-based matching saves around 90 percent of the time compared to manual review by a medical professional, turning a two-hour task into about one minute. Because the platform processes health data, its large language models are hosted in Europe on AWS to comply with GDPR.
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Inspect the highlighted sourceThe challenge
myTomorrows was founded after Dr. Ronald Brus, CEO of a biotech company, struggled to get his father — diagnosed with lung cancer — access to a specific investigational drug, despite his industry expertise. More broadly, an estimated 300 million people worldwide are looking for treatments and about 10,000 treatments are looking for patients, with matching a patient's medical profile to relevant clinical trials or expanded access programs manually taking a medical professional around two hours.
The solution
myTomorrows runs a platform where doctors and patients globally can discover and request access to treatments not yet approved for public use, either in clinical trials or expanded access programs. A doctor fills in a deidentifiable medical profile of their patient, and AI matches that profile to relevant treatment options; patients can also search for clinical trials themselves. Because the company processes health data, its large language models are hosted in Europe on AWS to comply with GDPR, and it uses AWS cloud infrastructure for reliability, scalability and performance. The company plans to integrate AI agents in the near future for tasks such as plotting the regulatory pathway to get a particular drug to a patient.
Reported business value
AI-based matching saves around 90% of the time in matching a patient's medical profile to clinical trials — what would take a medical professional two hours takes about a minute using AI. The platform has matched 17,700 patients and onboarded 3,000 doctors across 135 countries; in one cited case, AI matching identified 12 possible treatment routes for a patient who otherwise had zero options within standard care.
Sources
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