We are launching this new project and beginning a six-month pilot phase. Our initial goals are to select a target protein system, set up a minimal quantitative assay stack for early phase behavior and aggregation signals, and complete the first intervention cycle with reproducible readouts and clear pilot milestones.
In parallel, we are engaging with potential research team members and partner laboratories. As these discussions progress, we will share the pilot scope, the first milestone package, and a clear collaboration pathway for laboratories and investigators who can contribute biophysical assays, cell-based validation, or modulator development.
While this pilot is not disease-specific, its ability to detect and steer early protein misfolding and aggregation could later support pediatric oncology by enabling earlier, more targeted intervention strategies where protein state changes contribute to treatment resistance and toxicity.
We are now fully verified on Benevity.
If your employer uses Benevity for workplace giving and matching gifts, you can support OncoHelper AI directly through your company’s giving portal. Many employers match employee donations, which can double or even triple the impact of your gift.
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.
