By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
MedsparkMedsparkMedspark
  • Home
  • News & Alerts
    News & AlertsShow More
    Samsung spinoff wins FDA clearance for AI ECG analysis software
    By
    msadmin
    October 11, 2026
    FDA clears software that builds 3D bone from a routine spine MRI
    By
    msadmin
    October 11, 2026
    Vitalize raises $31M to run hospitals like air traffic control
    By
    msadmin
    October 11, 2026
    Healthleap nets $38M to catch what hospital charts hide
    By
    msadmin
    October 11, 2026
    A robotics upstart banks $75M to build drugs without hands
    By
    msadmin
    October 11, 2026
  • Spotlight
    SpotlightShow More
    Robinhood Ventures Fund II brings retail capital to healthcare AI
    By
    msadmin
    August 13, 2026
    Adialante brings accessible MRI-based cancer screening
    By
    msadmin
    August 11, 2026
    CellType models biology so AI can discover drugs
    By
    msadmin
    August 11, 2026
    Healthcare AI startups in Robinhood Ventures Fund II
    By
    msadmin
    August 11, 2026
    OpenAI launches GPT-Rosalind for life sciences research
    By
    msadmin
    July 17, 2026
  • Articles
    ArticlesShow More
    Proteomics model picks breast cancer drugs from biopsies
    By
    msadmin
    September 10, 2026
    CRISP model reads frozen sections to steer cancer surgery
    By
    msadmin
    September 10, 2026
    Consumer chatbots are building a medical system outside hospitals
    By
    msadmin
    August 21, 2026
    Reasoning gaps hold back AI agents in scientific discovery
    By
    msadmin
    August 11, 2026
    Benchmark scores can’t track real clinical LLM use, Stanford says
    By
    msadmin
    August 11, 2026
  • About
    • Mission
    • Services
    • Contact
  • Shop
    • All Items
    • By Category
    • Cart
  • Newsletter
Font ResizerAa
MedsparkMedspark
Font ResizerAa
  • Home
  • News & Alerts
  • Spotlight
  • Articles
  • About
  • Shop
  • Newsletter
  • Home
  • News & Alerts
  • Spotlight
  • Articles
  • About
    • Mission
    • Services
    • Contact
  • Shop
    • All Items
    • By Category
    • Cart
  • Newsletter
Follow US
News & Alerts

Hospital-built AI screens myeloma trial candidates in seconds

Seoul St. Mary's Hospital built in-house AI that screens myeloma patients for trial eligibility in seconds.

MedSpark Staff
By
msadmin
MedSpark Staff
Bymsadmin
Medical, Healthcare, & Biotech/Pharma AI News
Follow:
Published: September 3, 2026
Share
2 Min Read
SHARE

A two-week clinical trial screening chore now takes seconds at one Korean hospital. The software comes from Seoul St. Mary’s Blood Cancer Center, where it automatically matches myeloma patients to studies whose criteria the system has loaded.

Deployment at the Multiple Myeloma Center was announced September 2. Records are first merged into a per-patient database covering treatment counts, drug refractoriness and stem cell transplant history. A large language model converts each trial’s inclusion and exclusion rules into a comparable format and assigns patients to subgroups. Latest lab values, from kidney and liver function to blood counts, are then matched against those rules.

The refractoriness math is handled automatically. Responses across proteasome inhibitors, immunomodulators and anti-CD38 antibodies are tallied to establish double and triple refractoriness. Records missing fresh lab values are parked as pending rather than rejected, and patients who have died are removed from consideration. Each patient ends up labeled eligible, pending or ineligible, with supporting evidence shown.

Professor Park Sung-soo led the hematology team that built the software in about two months without outside funding. A patent application and program copyright are on file. Core logic has passed more than 800 validation tests, criteria for 18 trials are registered, and several thousand patients can be screened in tens of seconds.

Few blood cancers see new therapies arrive as quickly as multiple myeloma. Even so, getting patients into those studies has relied on slow manual matching, according to professor Min Chang-ki. The group now plans a clinical accuracy validation study and an expansion to other blood cancers.

TAGGED:clinical trialshospital AIlarge language modelsmultiple myelomapatient recruitmentSouth Korea
SOURCES:The Korea Herald
Share This Article
Facebook Copy Link Print
MedSpark Staff
Bymsadmin
Follow:
Medical, Healthcare, & Biotech/Pharma AI News

You Might Also Like

News & Alerts

Cortechs wins FDA nod for automated PET brain analysis

By
msadmin
August 19, 2026
News & Alerts

Onos Health banks $17M Series A to decode messy mental health records

By
msadmin
August 27, 2026
News & Alerts

A voice recording may be enough to screen for depression

By
msadmin
September 27, 2026
News & Alerts

New MALP Prediction Method Shows Promise for Medical Data Accuracy

By
msadmin
June 30, 2026

AI news, analysis, and insights for healthcare, biotech, and pharma.

Facebook Twitter Youtube Linkedin
Quick Links
  • News & Alerts
  • Articles
  • Spotlight
  • Events
About Medspark
  • Mission
  • Services
  • Contact

© Copyright 2026 MedSpark. All rights reserved.

Privacy Policy | Legal