How AI helped me find a better cancer treatment than my doctors
A cancer patient shares how AI-powered collaboration with doctors led to a personalized treatment plan and remarkable recovery.
Steve Brown, a tech entrepreneur and cancer patient, shares his groundbreaking journey of using AI to diagnose and treat his aggressive blood cancer—a path his initial doctors had missed.
The Missing Diagnosis
- Brown experienced unexplained weight loss, fatigue, and abdominal pain at 60. Despite extensive tests (colonoscopy, endoscopy, cardiac exams), doctors initially dismissed his symptoms as stress or mild gastritis.
- After a house fire displaced him, ER doctors in a new health system discovered an aggressive blood cancer (related to multiple myeloma) affecting his bone marrow, kidneys, and heart.
Building an AI Medical Team
- Leveraging his tech background, Brown created "Haley", an AI agent trained on OpenAI, Google, and Anthropic models, layered with his medical data (labs, scans, doctor notes).
- Haley flagged abnormal immune markers (anemia, elevated ferritin) and recommended a bone marrow biopsy—previously overlooked.
- He expanded to a virtual multidisciplinary team (oncologist, hematologist, etc.) and a synthesis agent, "Hippocrates," to consolidate insights.
Challenging the Standard of Care
- Brown’s cancer had rare genetic variants making standard treatments less effective. AI analyzed his cytogenetics report, cross-referenced studies, and suggested off-label combinations (e.g., Daratumumab + Venetoclax).
- He sought multiple expert opinions to validate AI findings. Doctors were open to collaboration, leading to a remarkable recovery (cancer markers normalized).
Beyond Treatment: Immune Recovery
- Post-chemotherapy, AI guided immune system rebuilding with prophylactic measures, tracked via weekly blood tests.
- Brown’s app, CureWise, is now in private beta, helping other patients uncover missed insights.
Key Takeaways
- "AI doesn’t replace doctors—it augments them." It accelerates literature reviews, connects global research, and personalizes care.
- Shared decision-making between patients and doctors is the future, with AI bridging gaps in overburdened systems.
- Brown’s case underscores the need for individualized medicine, especially in rare cancers. Now, he’s
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About the Author
Dr. Emily Wang
AI Product Strategy Expert
Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.