Oncologists toggled six screens to track patient history. Now, a dashboard unifies data and forecasts chemotherapy reactions in one view.
The innovation arm of one of the world's top hospitals focused on ovarian cancer, a disease where late detection and data scarcity have stalled treatment advances for two decades.
Stringent privacy regulations prevented the international pooling of patient records needed to train robust AI models. Inside the clinic, oncologists...
“ARC stands for accelerate, redesign and collaborate. These are the three fundamental principles that underpin all our work. We can't redesign the future of medicine on our own. That's why we've established close relationships with healthcare providers all around the world, as well as tech giants and start-ups. Expanding and diversifying our data through sharing is key to success.”
Healthcare innovation hub and startup accelerator for global medical technology.
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Clinical data was trapped in unstructured text. An NLP model standardized 76,000 reports in two months—300x faster than manual review.
Manual embryo checks were inconsistent. AI now ranks viability using thousands of data points, speeding up expert selection by 60%.
Physical slides trapped data in silos. Now, federated AI learns across hospitals without moving files to catch cancer markers early.
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.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.