Building disease models meant three months of complex mapping. Pre-training LLMs on 200B tokens cut the cycle to just four weeks.
A healthcare technology company builds clinical intelligence tools to support trial matching and precision medicine for biopharma partners and diagnostic firms.
Fragmented data across electronic medical records made identifying specific patient cohorts nearly impossible. Furthermore, building the necessary...
“By leveraging Databricks Mosaic AI, we were able to accelerate AI model training by 3x — delivering faster, more accurate insights that transform patient care and research outcomes.”
AI platform for transforming unstructured medical records into structured clinical data.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
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Scrubbing sensitive notes required fragile external clusters. An embedded LLM now anonymizes data directly within the pipeline.
Manual record sifting meant trial matching took hundreds of days. AI agents now identify eligible patient cohorts in 24 hours.
150M unstructured docs buried manual teams. AI extracts tumor histology to match trials, cutting time-to-market from months to a week.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
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.