When Steve Brown, founder and CEO of CureWise, turned 60, going through a series of medical tests he knew something , yet his doctors failed to detect anything serious, it was only after being admitted to a new hospital system that an aggressive form of blood cancer, related to multiple myeloma, was discovered and it was at that moment he wanted to fine his own treatment for blood cancer.
Brown later reflected, “Why couldn’t my first doctors find anything? Would AI have caught my disease sooner?” That question about personalized cancer treatment would set him on a path to rethinking how patients can use technology to manage their own care.
AI-Powered Medical Team
Drawing on his background in technology, Brown developed the AI tool for doctors used as an assistant he named “Haley.” Powered by foundation models from companies such as OpenAI, Google, Anthropic, and xAI, Haley was trained with his complete medical history, lab results, imaging, and doctor notes.
Within minutes, the AI cancer treatment system flagged troubling patterns mild anemia, elevated ferritin, and low immunoglobulins that pointed toward bone marrow dysfunction. It recommended further tests, including a bone marrow biopsy.
“Same data, new insights,” Brown explained.
He then created a panel of specialized AI agents, anAI for oncology, gastroenterologist, hematologist, and more each designed to analyze his case from different perspectives. A synthesis agent, “Hippocrates,” acted as chair, consolidating recommendations for his treatment for blood cancer.
The result was a “virtual multidisciplinary medical team,” based on Brown’s description, with offerings on a level of insight that traditional consultations had missed.
Beyond Standard Precision Medicine Cancer Technology
Standard medical practice often relies on first-line treatments designed for the “average” patient. For Brown, whose cancer presented a particularly aggressive variant, that approach wasn’t enough.
By analyzing his cytogenetics reports, his custom cancer treatments in AI revealed biomarkers suggesting standard treatments would be less effective.
With its ability to cross-reference global clinical literature and case reports, new cancer treatment technology pointed to alternative off-label regimens. This led Brown and his doctors to pursue a combination of Daratumumab and Venetoclax, a targeted therapy not yet validated in large clinical trials but one that showed exceptional results in his case.
“AI didn’t replace my doctors, but it supercharged my decision-making,” Brown said. Weekly blood tests now show his cancer marks returning to normal, while his immune system is being rebuilt with preventive measures guided by AI leukemia treatment.
The harsh experience inspired Brown to find his own treatment for blood cancer by creating CureWise, a platform designed to give patients access to AI-powered insights that complement medical expertise. Brown doesn’t think that AI chatbots defeated doctors but it’s an important aid.
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