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COMPANY NEWS · JUN 17, 2026 · 4 MIN READ

Burna AI joins the June 2026 Mayo Clinic Platform_Accelerate cohort

Burna AI is a Mayo Clinic Platform_Accelerate participant in the June 2026 cohort: what the 30-week program offers, the concordance study design and the readout date.

Burna AI Team

Clinical and technology leaders collaborating around trial safety documents and a laptop during an accelerator program session.

Mayo Clinic Platform_Accelerate is Mayo Clinic Platform's accelerator for health technology companies: a 30-week immersive program in which each company follows a structured curriculum, collaborates with leading experts, receives one-on-one technical mentorship and works with Mayo Clinic Platform's de-identified clinical data ecosystem. Burna AI joined the June 2026 cohort and is a Mayo Clinic Platform_Accelerate participant.

Burna AI brings adverse event grading for clinical research in which every grade traces to the line in the medical record that produced it. The concordance study of that grading, on 1,600 cases across three campuses, reads out in December 2026.

What is Mayo Clinic Platform_Accelerate?

Mayo Clinic Platform runs Accelerate for companies building digital health solutions, through two pathways: the 30-week accelerator program, and a selective multiyear pathway with up to two years of access to Mayo Clinic Platform's data environment, advisors and ongoing technical support. Since the program launched in 2022, more than 120 companies from around the world have taken part.

Program elementHow Mayo Clinic Platform describes it
LengthA 30-week immersive program, or a multiyear pathway of up to two years
StructureA structured curriculum
PeopleCollaboration with leading experts and one-on-one technical mentorship
DataMayo Clinic Platform's de-identified clinical data ecosystem
ReachMore than 120 companies since the 2022 launch

Sources: the Mayo Clinic Platform_Accelerate program page and Mayo Clinic News Network, June 24, 2026.

How a company joins Mayo Clinic Platform_Accelerate

Mayo Clinic Platform sets out six steps, and notes that the process can vary by pathway:

  1. Apply to the program.
  2. Take part in a business and data interview.
  3. Submit a project proposal.
  4. Receive notice of acceptance.
  5. Finalize contracting.
  6. Begin the engagement.

Who is in the June 2026 Mayo Clinic Platform_Accelerate cohort?

The June 2026 cohort brings together 20 health technology companies whose work spans clinical reasoning, cardiology, imaging, oncology, documentation, perioperative care and clinical research. Mayo Clinic Platform lists the full June 2026 cohort with a short description of each company. Burna AI is the cohort member working on adverse event grading for clinical research.

On June 24, 2026, Mayo Clinic News Network announced the cohort, describing Burna AI as automating evidence-based adverse event grading and coding across the clinical research continuum.

What Burna AI brings to the cohort

Burna AI reads clinical notes and grades each adverse event against the CTCAE version the protocol names, v5 or v6, with both versions live on one engine and a MedDRA LLT code on every encounter (what Burna AI does today).

  • Evidence on every grade. Each grade traces to the line in the medical record that produced it, and a grade whose evidence is incomplete is flagged before anyone signs it.
  • Attribution per drug. Each event is scored for attribution against every drug in the regimen using the WHO-UMC and Kramer algorithms, with the reasoning shown.
  • A clinician signs every record. A grade becomes a record when a qualified investigator signs it with a 21 CFR Part 11 electronic signature, and the signature carries what was accepted and what was overridden.

A grade that carries its evidence is one a monitor can check against the source on first read. See how Burna AI grades CTCAE v5 and v6 with the criterion attached. AI suggests, clinicians decide.

How the study of Burna AI's grading is designed

The concordance study of Burna AI's grading has this design:

  • Cases: 1,600, drawn from a de-identified dataset of 3 million patients
  • Sites: three campuses
  • Reference standard: an adjudicated two-clinician reference panel, with two readers on each case and an adjudicated answer for each of the 1,600
  • Co-principal investigator: Dr. Andrea Pirzkall, who sits on Burna AI's Clinical advisory council
  • Readout: December 2026

Burna AI publishes the full methodology on how agreement is measured: a blind, adjudicated comparison against expert clinician panels on synthetic and de-identified cases, scored with weighted kappa and per-grade agreement, including the boundary at Grade 3 and above where the clinical stakes concentrate.

Why an adjudicated reference panel matters for adverse event grading

Qualified clinicians reading the same case can reach different conclusions. When two reviewers independently read the same 100 weekly on-treatment radiation therapy notes and identified CTCAE v5.0 toxicities, their agreement measured kappa 0.59 weighted and 0.68 unweighted, and a third reviewer adjudicated each discrepancy (Fairchild et al., International Journal of Radiation Oncology, Biology, Physics, 2020). Attribution varies as well: in the placebo arms of two phase III trials, when the same adverse event was reported for the same patient at several visits, its attribution category changed at least once 31 to 36% of the time (Hillman et al., Journal of Clinical Oncology, 2010).

Two readers and an adjudicated answer give a study a reference standard built for that variability, where a single reader's grade would carry one clinician's judgment alone. The same variability is why every Burna AI grade shows its source line and its CTCAE criterion: the next clinician, the monitor and the auditor all check the same evidence, which helps elucidate the safety profile from the first trial encounter through postmarket surveillance.

Common questions about Burna AI and Mayo Clinic Platform_Accelerate

Is Burna AI part of Mayo Clinic Platform_Accelerate?

Yes. Burna AI is a Mayo Clinic Platform_Accelerate participant in the June 2026 cohort.

How long is Mayo Clinic Platform_Accelerate?

The accelerator program runs 30 weeks. The multiyear pathway offers up to two years of access to Mayo Clinic Platform's data environment, advisors and technical support.

How many companies are in the June 2026 cohort?

Twenty. Mayo Clinic Platform describes each of them on its June 2026 cohort page, and Mayo Clinic News Network announced the cohort on June 24, 2026.

When does the study of Burna AI's grading read out?

December 2026. The study covers 1,600 cases across three campuses, against an adjudicated two-clinician reference panel.


Burna AI is the AI platform for accelerated clinical research, from first-in-human trials through postmarket surveillance. Burna AI performs automated adverse event grading and attribution in real time, providing clear rationale and audit-ready evidence, including generation of IRB, sponsor and FDA reports. Burna AI delivers CTCAE v5 and v6 grades and MedDRA LLT codes on every encounter; enabling standardization, cross-site consistency and accuracy of clinical research data. AI suggests, clinicians decide. Human-in-the-loop, always.

Clinical research teams that want to see a grade carry its evidence can book a 15-minute conversation.

Mayo Clinic Platform_AccelerateConcordance studyAdverse event gradingHealth technology accelerator

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