Today we are restarting our update cycle for this project.
Since our last update on November 16, 2025, we deliberately paused public postings for two reasons.
First, we focused on completing the technical specification of the Interceptor engine and its supporting modules, so we could build against a stable architecture rather than change direction midstream.
Second, we focused on the data readiness and privacy foundations required for real pediatric clinical data work, including clear rules for how data will be prepared, handled, and validated across partner settings.
Current status: the core system has been designed and specified. Next, we plan to implement and train the first working prototypes using synthetic and retrospective pediatric oncology datasets, then move into formal algorithm validation and co-design of clinician-first interfaces with pediatric oncology teams.
Starting this week, we will publish one update every two weeks. Each update will include what changed on the project page, what we completed during the past two weeks, and what comes next, so donors and partners can follow progress in real time.
Development pace depends on available funding. Support will be used to accelerate implementation, validation, and pilot preparation.
Merry Christmas and Happy New Year!
OncoHelper AI is inviting applications and expressions of interest for the role of Chief Oncologist. We are looking for a senior oncologist based in the United States, active or emeritus, who is interested in guiding the clinical direction of our projects and helping us build partnerships with hospitals and cancer centers. Candidates and colleagues who would like to discuss this role are welcome to contact us through the Collaborate form on our website.
We are currently working to identify the lead investigator for our Risk-Adaptive Therapy for Pediatric Oncology project. Over the coming weeks we expect to confirm a project leader and give this initiative a new momentum, as we begin assembling an international clinical and research team around it.
Today OncoHelper AI is launching a new project on curable hereditary anemias in children, a field where data from high risk, low and middle income regions is still very limited. We are now forming the core clinical and research team for this work and are open to collaborators. As soon as the team is in place, the project will move into full development.
