OncoHelper AI | We fund cancer research and AI to power it

What we do

We organize our work in three connected lines of activity:

1. Pediatric oncology AI core
We design and develop an in-house, multi-layer AI system for pediatric oncology. This core program is the long-term engine behind everything we do.

2. Research projects and data infrastructure
We support oncology research projects and clinical data initiatives that generate high-quality clinical and biological datasets. These studies are led by their own clinical teams; our role is to make the work possible, coordinated, and ready for AI.
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3. Cancer education and prevention
We create and support educational initiatives that help children, families, and care teams better understand cancer risks, early warning signs, and treatment journeys. These programs also highlight how AI can support better understanding of cancer, earlier detection, and more effective prevention.

1. Idea and Data Blueprint

We work with clinicians and scientists to identify high-impact oncology questions. Together we turn ideas into practical study outlines, defining data flows, endpoints, and how each project can contribute meaningful clinical and biological data to our AI program.

2. Team Assembly and Research Partnerships

We help build balanced study teams, match clinical sites with data and laboratory partners, and clarify governance. Roles, timelines, and responsibilities are agreed in writing so that every project has clear leadership and coordinated support.

3. Funding and Resource Mobilization

We co-develop proposals and budgets with investigators, align them with grant and donor requirements, and help secure the resources needed for both the study and its supporting infrastructure. Our goal is to let researchers focus on the science while we handle the fundraising package.

4. Study Operations and Data Flow

Once a project is funded, we support protocol rollout, data collection workflows, and communication between partners. We keep documentation, ethics and regulatory tasks, and data quality on track so that studies run smoothly and patients are protected.

5. AI Integration and Outcome Delivery

At the end of each project, we help turn results into practical outputs for clinicians and donors. Clean, well-documented data and code are added to our pediatric oncology AI system, so every completed study strengthens the next generation of tools for cancer care.

Who we are

OncoHelper AI Inc. is a US nonprofit founded by veterans with personal experience of cancer, either in their families or in their own lives.

Our founders bring more than thirty years of proven leadership in scientific and engineering projects, coupled with deep motivation to make cancer care more adaptive, smarter and faster.

We bring together seasoned clinicians, active pediatric oncologists, and early-career physician-innovators with strong engineering support.

We welcome partners who share our mission and commitment.

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Projects

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Risk-Adaptive Therapy for Pediatric Oncology

AI-supported clinical decisions for safer, more personalized pediatric oncology care.

Every child responds to cancer therapy differently. Yet today, most treatment decisions still follow standardized pathways that cannot fully capture individual risks. Our project builds an AI-supported clinical decision system that helps pediatric oncologists tailor therapy intensity to each child in real time, reducing toxicity while maintaining cure rates.

Needed Funding:

$340,000

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Next-Generation PARP1 Inhibitors with Enhanced Anticancer Activity

Olaparib–thiodiazole hybrid molecules designed to overcome resistance and enhance anticancer activity.

This project develops a new class of dual-acting anticancer molecules that chemically fuse the PARP1 inhibitor olaparib with thiodiazole scaffolds. By hitting DNA repair and tumor survival pathways at the same time, these hybrids aim to achieve stronger tumor killing, reduce resistance, and open a path to next-generation targeted therapies for hard-to-treat cancers.

Needed Funding:

$1,160,000

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OncoHelper AI: Neural Target Tracking for Cancer in Motion

AI system that treats cancer as a moving target and time as a first-class variable.

Drawing on principles from target tracking, financial trading algorithms, and neural dynamical modeling, OncoHelper AI forecasts disease trajectories and guides truly precise therapy decisions. Its goal is to help clinicians cure more patients, avoid unnecessary toxicity, and give children with cancer a real chance at long, healthy lives.

Needed Funding:

$350,000

Learn more

All projects

Our partners

We cultivate lasting strategic partnerships with AI specialists, research institutions, cancer centers, biopharmaceutical companies, and nonprofits to drive innovation in oncology and expand access to lifesaving therapies for patients worldwide.

Frequently asked questions

How is my donation used?

General donations primarily support our core AI program and the shared infrastructure that connects all projects: data and computing costs, coordination of research partnerships, and quality control. When project grants do not cover essential overhead, unrestricted gifts help keep this system running.

Are you a grant-writing service?

No. OncoHelper AI is a 501(c)(3) nonprofit built around an in-house AI system for pediatric oncology. We help design proposals and manage grants only for research projects that fit this mission; we do not offer stand-alone grant-writing services.

Are donations tax-deductible?

Yes. OncoHelper AI is a 501(c)(3) nonprofit. You’ll receive an email receipt for your records.

Can I direct my gift to a specific project?

General donations primarily support our core AI program and the shared infrastructure. If you would like your gift to support a specific project, please check “Write us a comment” on the donation form and mention the project name there; we will do our best to apply your gift accordingly.

Will I receive updates or a report?

Yes. We send brief progress updates and a final summary for funded milestones.

Is my payment secure?

Yes. Payments are processed via DonorBox/Stripe using industry-standard encryption.

We fund cancer research and AI to power it

What we do

Who we are

Projects

Risk-Adaptive Therapy for Pediatric Oncology

Next-Generation PARP1 Inhibitors with Enhanced Anticancer Activity

OncoHelper AI: Neural Target Tracking for Cancer in Motion

Our partners

Frequently asked questions

Collaborate

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