top of page
Blue Abstract

Welcome to

High School Mathematical Oncology!

Connecting Students with Interest in Cancer Research through Mathematics

​High School Mathematical Oncology (HSMO) is a student-led platform where high school students explore how math, biology, and data science come together to fight cancer.

Whether you love solving math problems, are fascinated by biology, or just want to see how math can help combat diseases like cancer — you're in the right place.

Explore:

  • Tumor growth models

  • Treatment prediction tools

  • Precision medicine

  • Career paths in biomedical science

Students contribute articles, research reviews, teaching materials, and expert interviews — independently or through their school’s math or science club.

Join us to build skills, share ideas, and become a recognized contributor in one of the most important scientific fields of the 21st century.

We hope this platform inspires you to dive deeper — and make a difference.

What is Mathematical Oncology?

Mathematical oncology is a field that combines mathematics, biology, and medicine to better understand cancer development and treatment through computational models.

 

By analyzing large datasets, such as genomic sequencing data, researchers can develop personalized precision medicine—tailoring treatments to individual patients based on their unique genetic makeup to maximize treatment outcomes.

fractalfract-07-00595-g001_edited.png

Key Aspects of Mathematical Oncology

Modeling Tumor Growth
 

Understand how cancer grows, spreads, and mutates. 

Treatment Planning

Simulate different cancer treatments like chemotherapy, radiation, and immunotherapy to optimize their effectiveness and minimize side effects.

Precision Medicine

Integrates large datasets to tailor treatments specifically to each patient's cancer to improve outcome and survival rates.

Accelerates Research

By testing hypotheses and therapies in silico (computer simulations) before clinical trials, researchers can save time and resources.

bottom of page