Research
Aesclea: Our Oncology Foundation Model
Long-range temporal predictive modelling for oncology: building a unified transformer over 11M patients to forecast outcomes across a patient's lifespan.
Blog
Notes from the Radical Health team on oncology AI, clinical evidence, and patient experience.
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Company NewsRadical Health's AI Achieves 100% on the US Medical Licensing Exam
Radical Health's AI scored a perfect 100% on the USMLE, validation of the knowledge engine powering personalized cancer reports for patients and doctors.
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Patient EducationCancer Clinical Trials Explained: Should You Participate? (Part 2)
Cancer clinical trials, the decision: eligibility, consent, what to ask, and what to do if you don't qualify for any trial.
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ResearchA medical embedding model that beats OpenAI 7x on note recall
How we fine-tuned EmbeddingGemma-300m on MIMIC-III clinical notes to predict disease at AUROC 0.934, outperforming OpenAI embeddings 7x on next-note recall.
- Patient Education
Cancer Clinical Trials Explained: Should You Participate? (Part 1)
Cancer clinical trials, the basics: phases, common myths, types of trials, and how participation fits into modern cancer care.
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Patient Education5 Questions Every Cancer Patient Should Ask Their Oncologist
Essential questions to ask your oncologist about diagnosis, treatment options, side effects, and prognosis. Get the information you need to make decisions.