AI in Cancer Research: 9 Project Ideas for High School Students

Artificial intelligence has transformed cancer research, enabling more accurate diagnoses, personalized treatments, and a deeper understanding of the disease. For a high school student intrigued by the intersection of technology and oncology, it's an exciting field, and many science fairs welcome innovative projects that tackle critical issues like cancer. The ideas below are tailored to high schoolers, focusing on AI applications that don't require advanced technical knowledge but still offer room for real discovery, working with real-world data and building skills in coding, data analysis, and research.

Why Cancer Research?

Science research is how we understand the world and find solutions to complex problems. It builds critical thinking, teaches you to ask meaningful questions, and lets you explore what you're passionate about while contributing to a broader body of knowledge. AI and cancer research sits right at that frontier, and it's a field where a well-designed high school project can genuinely stand out.

If you're new to research, get advice from a science fair winner is a good place to begin.

9 AI and Cancer Research Ideas

1. Cancer Diagnosis

Explore how AI helps diagnose cancer. Investigate machine learning tools that analyze medical images and assess their accuracy against traditional methods, perhaps focusing on a specific cancer like breast or lung. Summarize your findings in a report weighing the benefits and limitations of AI-based diagnosis.

2. AI in Cancer Treatment Planning

AI can analyze patient data to suggest personalized treatment plans, accounting for factors like tumor size, location, and patient health. Explore how these algorithms optimize treatment, analyze case studies where AI improved outcomes, and even propose your own algorithm to guide treatment decisions.

A notable real-world example: in 2018, ScienceFair founder Rishab Jain developed a machine learning algorithm that tracks the pancreas in a patient's scans so that radiotherapy can target a tumor as precisely as possible, work that earned him the title of America's Top Young Scientist at the 3M Young Scientist Challenge.

As he put it, "my tool tracks the pancreas in the scan itself... so it can help treat the tumor much more effectively."

3. AI for Drug Discovery

AI is accelerating the identification of new cancer-treating compounds. Explore how algorithms scan large databases to find promising drug candidates, investigate techniques like deep learning and natural language processing, and present your findings on AI's impact on the speed and cost of drug development.

4. Cancer Prognosis

AI can predict patient outcomes from many factors at once. Explore how AI models estimate prognosis, including survival rates and recurrence risk, study how specific clinical models are trained and validated, and consider building your own prognostic model from existing datasets.

5. Cancer Genomics

AI excels at analyzing large genomic datasets. Investigate how AI tools identify cancer-linked genetic mutations and guide personalized treatment, explore specific software platforms, and propose new ways AI could deepen our understanding of cancer genomics.

If genomics draws you in, our top bioinformatics and biotech research ideas are worth a look for related directions.

6. Cancer Patient Monitoring

Monitoring patients is crucial for tracking treatment and catching recurrence. Examine how AI analyzes health records, imaging, and other data to flag significant changes for early intervention, and discuss both the advantages and the challenges of AI-driven monitoring.

7. Cancer Risk Assessment

AI can assess cancer risk from lifestyle, genetics, and environmental exposures. Explore how these models predict risk and flag high-risk individuals for preventive care, analyze the accuracy of existing tools, and propose a new model that integrates multiple risk factors.

8. AI in Cancer Immunotherapy

Immunotherapy is a cutting-edge treatment, and AI can help develop and optimize it. Investigate how AI designs new immunotherapies like CAR T-cell therapy by analyzing large datasets to identify targets, explore how it predicts patient responses, and discuss AI's impact on immunotherapy's future.

9. Cancer Screening

Early screening is key to successful treatment, and AI can sharpen its accuracy. Explore how algorithms analyze medical images or patient data to detect early signs of cancer, examine tools used for mammograms or colonoscopies and their sensitivity and specificity, and consider developing your own screening model.

One ISEF-winning example combined robotics and machine learning into a custom automated system that analyzes blood samples to detect gastrointestinal cancers quickly and cheaply, exactly the kind of ambitious, high-impact work that stands out at top competitions. The team won the H. Robert Horvitz Prize for Fundamental Research for this research.

How to Turn an Idea Into a Project

An idea is only the beginning, the real work is shaping it into a rigorous, competition-ready project.

Once you've chosen a direction, our guide to crafting the perfect science fair question helps you sharpen it into a focused, testable question.

If AI itself is what excites you most, our top AI research project ideas for high school cover the field more broadly, and if you want to go deeper on oncology specifically, our cancer research ideas for high school students round up ten non-AI directions worth exploring.

Start Your AI Cancer Research Project With ScienceFair

Combining AI and cancer research is ambitious, exactly the kind of high-impact work that stands out at top competitions, and expert guidance can turn a promising idea into an award-winning project. That's where ScienceFair comes in. Every coach on our team is a past science fair winner, and alongside our Ivy League research mentors, they'll help you refine your question, strengthen your research, and prepare for the judges' Q&A.

Ready to take the next step? Schedule a call with our academic advisor.