Reviewing hundreds of pages for 50 criteria caused missed matches. AI now parses records to find eligible patients ahead of visits.
Cancer care centers must match tens of thousands of patients to hundreds of clinical trials every month, with over 80% of relevant medical data trapped in unstructured formats.
Clinicians lacked a scalable process to review hundreds of pages of records per patient while evaluating each against 50 distinct trial eligibility...
“Over 80% of healthcare data is unstructured, but within it lies the key to faster cancer breakthroughs. At Triomics, with Azure’s support, we’re using LLMs to turn this data into actionable insights for researchers and hope for patients.”
Generative AI platform for oncology clinical trial matching and data curation.
Enterprise software, cloud infrastructure, and consumer electronics platform.
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Legacy ML required a separate model for every data point. GPT-4 now reads unstructured records instantly, beating human accuracy.
Manual reviews miss cancer cells. Moving 10PB of data to Azure allows hospitals to run diagnostic AI without specialized local hardware.
Oncologists reviewed 20 years of history after hours. AI now distills hundreds of pages into searchable summaries, freeing time for patients.
Manual triage meant urgent faxes sat for days. AI now routes millions of documents to 1,200+ destinations in seconds.
Manual segmentation took 20 minutes, delaying care. AI now analyzes hemorrhages in seconds, aiding decisions across 23 regional sites.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.