Elythea launched on Y Combinator's "Launch YC" recently!
"The future of maternal healthcare"
Elythea: ML platform to predict and prevent pregnancy complications
Founded by Reetam Ganguli & Rishik Lad. Reetam and Rishik first met in middle school and have collaborated on various projects throughout high school and college.
While Reetam was on the path to becoming a high-risk obstetrician and was studying standard OBGYN textbooks, he interviewed 80+ providers. The majority pointed out issues with postpartum hemorrhage and hypertensive complications, revealing the issue Elythea tackles.
Reetam previously founded Junior Medical Academy, a global medical education nonprofit accessible to students across 30+ countries, and Survivor Central, a national platform matching survivors of sexual assault/domestic violence with medical/legal/financial resources. He has 1st authored 10+ medical publications, including in multiple Nature Journals. He studied cancer engineering at Brown and left medical school to work on Elythea full-time.
Rishik studied computer science at Dartmouth and spent his time researching applications of classical and deep learning techniques, where he published multiple papers across natural language processing and healthcare AI. He’s engineered software across tooling, infrastructure, and ML at Series-A, Series-C, and public companies.
The team is on a mission to revolutionize maternal care and help save thousands of lives in the process.
HOW IT WORKS
Elythea uses ML to predict and prevent pregnancy complications as soon as the 1st visit! They integrate into EHR systems and flag complications like hemorrhage, preeclampsia, preterm labor, and emergency C-sections, helping to prevent them from happening.
❌ The Problem
Over 80% of cases of maternal mortality are preventable with earlier intervention (CDC). Risk assessments in the status quo have low high-risk detection rates, which hurt a doctor’s ability to administer preventative care and ensure safe, healthy deliveries.
Doctors currently miss more than 50% of patients who have life-threatening complications and wait until labor to start doing manual risk assessments, at which point it's too late.
Each of these complications cost providers between $3K-15K per case and payers $20K on average, sometimes up to $75K.
These major pregnancy complications cost insurers >$55B annually!
📚Quick Quiz: Hemorrhage (excessive bleeding) is the #1 killer of moms during labor. What percent of all moms that hemorrhage do you think doctors currently identify as high risk?
✔️Answer: 22%. Yep, in 2023, doctors have to manually tabulate a risk assessment when patients are on the delivery bed and still fail to classify >75% of hemorrhage cases as high risk. Elythea catches 2x-3x more hemorrhaging patients as early as the first visit, evolving over the course of a pregnancy with patient visits.
🌟 Elythea's Solution
Earlier intervention and improved clinical preparation have been shown to prevent nearly two-thirds of severe maternal complications. Elythea's ML models flag high-risk patients as soon as the first visit and evolve over the course of a pregnancy.
They automatically analyze relevant demographic and clinical risk factors, flag high-risk patients, and provide evidence-based interventions, giving doctors weeks to months in advance to intervene and prevent complications from ever happening.
Elythea predicts risk for conditions like postpartum hemorrhage, preeclampsia/eclampsia, emergency C-section, preterm labor, and more.
The startup has completed prospective international clinical studies across USA, Cameroon, and Nigeria demonstrating that their models have better performance than current gold-standard clinical tools. Elythea's global clinical studies have shown that they can catch 2-3x more moms with complications than current clinical risk assessments >10x sooner.
"For payers, providers, and plans"
