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Digital health · Sepsis prediction

Sepsis Scout

A Y Combinator company that put a deep learning sepsis risk score on an off-the-shelf wearable and aimed it at cancer patients recovering at home. Acquired by Cytovale in 2024, it left a powerful founder story and a thin evidence file.

Started2017 as Patchd Medical · YC Winter 2018
BasedSan Francisco, CA · founded in Sydney
ProductOff-the-shelf wearable plus a cloud sepsis risk score
FDANo clearance or listing found under either name
Registered trialsNone on ClinicalTrials.gov
OutcomeAcquired by Cytovale · recorded Oct 23, 2024

Eighteen bouts

Robert Quinn was 12 when doctors told him he would be dead before he turned 22 without a liver transplant. He got the transplant at 21. Then came the infections.

“Following the transplant, I suffered 18 separate bouts of sepsis,” he wrote on his company’s website. Sepsis is what happens when the body’s response to an infection turns on the body itself, and by the CDC figure the company cited it directly kills one time in six.

Quinn learned to read his own early signs, sore legs and a warm face, and would take himself to hospital before things turned. That is the origin story. Most people get no such warning, and most sepsis does not begin in a hospital bed with a monitor attached.

The part of sepsis nobody is watching

Hospitals have spent a decade wiring sepsis alerts into their records, which only cover patients already admitted. The company aimed at the other population: high-risk people at home between treatments, above all cancer patients whose chemotherapy has flattened their immune systems.

That framing is not marketing invention. A 2025 viewpoint in Lancet Primary Care, written by twenty sepsis researchers including Quinn, says wearables can flag people before clinical signs appear, then says in the next sentence that the trials to prove it have not been done.

Two engineers posting circuit boards to each other

Quinn studied engineering and biomedical science at the University of Queensland. The founder bio on the company’s Y Combinator page, written by its chief technology officer, describes electrical engineering and physiology, machine learning applied to electrophysiology in a neuroscience lab, then firmware and electronic design in implantable medical devices, where the two met. Aggregator records and the NIH grant name that co-founder as Wei-Jien Tan.

They started long distance, Quinn in Brisbane, Tan in Melbourne, mailing printed circuit boards to each other and meeting in Sydney every month or two. A $40,000 cheque from the Telstra-backed accelerator muru-D, as Quinn tells it, let them quit their jobs. When money ran short, Quinn drove for Uber at night and used every passenger to rehearse a sixty second pitch, which later won a St George Kick Start competition. The prize money and publicity opened a door to a hospital.

“The hospital then agreed to conduct the study with us,” Quinn told a University of Queensland podcast in 2020. The study got them into Y Combinator’s Winter 2018 batch, which got them to San Francisco. At demo day, TechCrunch described a chest-worn device, a paid pilot in Australia, 20 people wearing it, and a clinical trial planned for 2019.

Quinn was clear about why they moved. Regulators cost about the same either way, he argued, and the American market is far larger: “in Australia, that’s the Therapeutic Goods Administration in the United States, that’s the FDA or the Food and Drug Administration, but they’re roughly equal in terms of like money, time, energy committed to actually get it across the line.”

What the product actually was

By the time Patchd Medical became Sepsis Scout in 2023, the chest patch had become a watch. The archived technology page describes a device measuring heart rate, respiration rate, blood pressure, temperature and oxygen saturation, streaming through a phone to a cloud model that returns a risk score between zero and one. Cross the threshold and the care team gets an alert.

The model was a recurrent neural network that the company said looked for micro variations between vital signs, including diurnal rhythm, building what its FAQ called “a ‘fingerprint’ of sorts for sepsis”. The headline claim on the homepage was 39 hours of lead time. That number was never attached to a published study, a trial registration or a regulatory submission anywhere in the public record.

Federal money did back the algorithm. In 2022 the National Institute of General Medical Sciences awarded Sepsis Scout, Inc. a Phase I SBIR of $254,320, with Tan as principal investigator, to make the existing black box score explainable to clinicians. The grant ran to July 2024 and no Phase II follows it in NIH records. Quinn has also disclosed grant funding from BARDA.

The cautionary tale this category cannot avoid

In 2021, University of Michigan researchers externally validated the Epic Sepsis Model, a proprietary score running at hundreds of US hospitals, across 38,455 hospitalizations. It scored an area under the curve of 0.63, missed 67 percent of sepsis cases, and fired alerts on 18 percent of all hospitalizations.

That is the yardstick every sepsis algorithm now gets measured against, and it is why a missing external validation matters more here than it would in another category. Nothing in the record suggests this company’s model performed badly. Nothing in the record shows how it performed at all.

What is proven, and what is still claimed

Operations track. The company never reached a regulatory submission or a registered trial, so its evidence file is short. What follows is what the record holds, gaps included.
EvidenceWhat the record showsSource type
FDA statusNo 510(k), no PMA and no device listing under Sepsis Scout, Patchd or Patchd Medical in openFDA searches run Sep 23, 2026. A score that predicts a clinical event is a regulated function.Not found
Registered trialsNo study under either name on ClinicalTrials.gov. No Australian registration surfaced in searches.Not found
Peer-reviewed validationNo PubMed paper reports the algorithm’s accuracy. A PubMed search for Patchd returns one unrelated 2009 record.Not found
39 hours of lead timeStated on the homepage as a study result, with no study named, no cohort described and no publication.Company-stated
NIH SBIR award1R43GM148091-01, NIGMS, $254,320, Aug 1, 2022 to Jul 31, 2024. PI Wei-Jien Tan. Purpose: add explainability to the existing prediction algorithm. No Phase II.Public record
BARDA fundingDisclosed by Quinn in a 2025 Lancet Primary Care conflict of interest statement. Award numbers and amounts were not located.Public record
PatentsUS 2021/0052218 A1, inventor Robert Quinn, assignee Patchd, Inc., priority Aug 20, 2019. PitchBook also lists WO 2019/165004 A1, first filed Feb 21, 2018, and marks both inactive. No granted US patent found.Public record
Australian pilotTechCrunch reported in March 2018 a paid pilot in Australia and 20 people testing the device, with a trial planned for 2019. No results from either were published.Independent
Clinical endorsementThe homepage carried a testimonial from Professor Simon Finfer, identified only by his Global Sepsis Alliance role. Finfer separately disclosed in JAMA (2024), Lancet Respiratory Medicine (2024) and Intensive Care Medicine (2025) that he owned stock options in Sepsis Scout. The site did not say so.Not disclosed on the site
AcquisitionConfirmed in Quinn’s 2025 journal disclosure and by Y Combinator. PitchBook records the deal on Oct 23, 2024.Public record

Read plainly: a founder with an unusually direct reason to build this, real federal interest, a filed patent family, and no sign that anyone outside the company ever measured whether the algorithm worked. The category’s own literature says that measurement is the whole ball game.

What to watch

  • Whether Cytovale, whose IntelliSep blood test was FDA cleared in December 2022, ever publishes or commercializes the home monitoring work it bought.
  • Any peer-reviewed report of the 39 hour lead time claim, from any author.
  • The patent family, listed as inactive, which would leave the method unprotected.
  • Whether the NIH explainability work is published now that the grant has ended.

In their words

“The only reason that I am alive is that I can tell when I am getting sick.”

Robert Quinn, CEO and co-founder, company website · Company

“We quickly realized that if I could tell I was getting sick and save my own life, we could use deep learning and wearables to do the same thing for others.”

Robert Quinn, company website, archived 2023 · Company

“I had 18 episodes of sepsis following a liver transplant, actually.”

Robert Quinn, The Router podcast, UQ Computing Society, 2020 · Interview

“Patchd has built a chest-worn device that detects sepsis, the No. 1 cause of death in hospital patients.”

TechCrunch, Y Combinator W18 demo day, March 19, 2018 · Independent

“In studies, we’ve been able to detect sepsis, on average, 39 hrs earlier than is possible today.”

Company website homepage, archived 2023 · Company-stated

“and owning stock options in Sepsis Scout, unrelated to fluid therapy.”

Simon Finfer, disclosure, Lancet Respiratory Medicine, March 2024 · Public record

“This external validation cohort study suggests that the ESM has poor discrimination and calibration in predicting the onset of sepsis.”

Wong et al. on the Epic Sepsis Model, JAMA Internal Medicine, August 2021 · Peer reviewed
Sepsis Scout funding profile on HVCFHealthcare Venture Capital Fund

Related companies

Sources

  1. Public recordNIH RePORTER 1R43GM148091-01NIGMS · FY2022
  2. Public recordopenFDA searches, no matchesFDA · Sep 23, 2026
  3. Public recordClinicalTrials.gov searches, no studiesNLM · Sep 23, 2026
  4. Public recordUS 2021/0052218 A1, Systems and methods for sepsis detection and monitoringGoogle Patents · Feb 25, 2021
  5. Public recordPreventing, identifying, and managing sepsis in the communityLancet Primary Care · Jun 27, 2025
  6. Public recordExternal Validation of a Widely Implemented Proprietary Sepsis Prediction ModelJAMA Internal Medicine · Aug 2021
  7. Public recordBLING III trial, author disclosuresJAMA · Aug 27, 2024
  8. Public recordBEST-Living meta-analysis, author disclosuresLancet Respiratory Medicine · Mar 2024
  9. Public recordAdult sepsis in resource-limited settings, author disclosuresIntensive Care Medicine · Jan 2025
  10. Public recordCytovale IntelliSep 510(k) K220991FDA · Dec 20, 2022
  11. IndependentHere are 64 startups that launched today at Y Combinator’s W18 Demo DayTechCrunch · Mar 19, 2018
  12. InterviewFrom UQ to Silicon Valley with Robert QuinnThe Router, UQ Computing Society · 2020
  13. AggregatorSepsis Scout profile: funding, patents, acquisition datePitchBook · Sep 23, 2026
  14. AggregatorSepsis Scout profile: investors and foundersTracxn · Sep 23, 2026
  15. CompanySepsis Scout company pageY Combinator · Sep 23, 2026
  16. CompanySepsis Scout website: homepage, Our Story, Our Technology, FAQ, rebrand noticeInternet Archive · 2022 and 2023
  17. CompanyCytovale Completes $100 Million Series D FundingPR Newswire · Oct 10, 2024

Profile researched and written by Healthcare Discovery. Last updated September 29, 2026.