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15 Disease Research Project Ideas for High School Students

If you're interested in biology, medicine, public health, genetics, or biomedical research, working on a disease research project can be a great way to explore those interests in high school. Diseases affect millions of people worldwide and remain one of the most important areas of scientific research today. Studying them can help you better understand…

If you’re interested in biology, medicine, public health, genetics, or biomedical research, working on a disease research project can be a great way to explore those interests in high school.

Diseases affect millions of people worldwide and remain one of the most important areas of scientific research today. Studying them can help you better understand how the human body works, how treatments are developed, and how researchers approach complex healthcare challenges. A research project allows you to move beyond textbook knowledge and engage with these questions in a much deeper way.

Why should you do a disease research project in high school?

One of the biggest benefits of a disease research project is that it introduces students to the process of scientific inquiry. Rather than simply learning facts, you’ll spend time exploring unanswered questions, reviewing existing research, and developing your own understanding of a topic.

Disease research is also highly interdisciplinary. Depending on your interests, a project may involve biology, chemistry, genetics, neuroscience, data analysis, public health, or even ethics and policy. This allows students to explore different areas of science while gaining a broader perspective on healthcare and medical research.

To help you get started, we’ve compiled a list of 15 disease research project ideas for high school students! If you want to combine medicine with fields like computer science, engineering, or history, check out our guide to interdisciplinary projects for high school students.

Key Takeaways

  • Disease research project ideas for high school students span a wide interdisciplinary range, combining biology, chemistry, genetics, neuroscience, data analysis, public health, and bioethics into a single investigation
  • Most projects rely on publicly accessible datasets and tools, including NHANES, ClinicalTrials.gov, TCGA, the Human Microbiome Project, and PubMed, meaning you don’t need access to a wet lab to conduct meaningful original research
  • Several project ideas connect biological mechanisms to broader societal questions, such as AI bias in melanoma screening or how climate change amplifies dengue fever transmission, giving you the chance to explore both scientific and ethical dimensions
  • Projects vary in analytical approach, from genomic and pathway mapping to statistical modeling and literature-based synthesis, letting you choose a methodology that matches your existing skills in biology, coding, or data analysis

15 Disease Research Project Ideas for High School Students

1. Circadian Rhythms and Metabolic Syndrome 

Your body’s internal clock affects much more than sleep. In this project, you can investigate whether disrupted sleep patterns are linked to obesity, high blood pressure, and type 2 diabetes. Using public NHANES datasets, you can compare variables such as sleep duration, shift-work status, BMI, and blood sugar levels. With Google Sheets or Python, you can analyze whether poor sleep habits are associated with higher metabolic risk. The final result could be a data-driven study on the relationship between sleep and metabolic health.

Sub-field: Chronobiology, endocrinology, public health

2. Utilizing Oncolytic Viruses to Fight Glioblastoma

This project explores how engineered viruses are being used to treat glioblastoma, one of the most aggressive forms of brain cancer. Using data from ClinicalTrials.gov, you can examine different oncolytic virus therapies and compare their effectiveness across human trials. You might analyze survival rates, immune responses, treatment safety, and the viral vectors used. The goal is to identify which approaches show the most promise and where current limitations remain. Your final product could be a comparative review of emerging virus-based cancer therapies.

Sub-field: Oncology, virology, immunotherapy

3. The Role of Neuroinflammation in Cognitive Decline

Scientists increasingly believe that chronic inflammation plays a major role in Alzheimer’s disease. In this project, you can investigate how overactive immune cells in the brain contribute to cognitive decline. Using resources such as ADNI and the Allen Brain Map, you can compare inflammatory markers across healthy individuals, patients with mild cognitive impairment, and those with Alzheimer’s disease. You can then map how these biological changes relate to memory loss and disease progression. The outcome could be a pathway analysis connecting neuroinflammation to cognitive decline.

Sub-field: Neuroscience, immunology, molecular biology

4. Mapping Environmental Reservoirs of Antibiotic Resistance

Antibiotic-resistant bacteria are increasingly being found in soil, rivers, and agricultural environments. This project explores how antibiotic use in farming contributes to the spread of resistance genes. Using databases such as NCBI and CARD, you can compare bacterial samples from agricultural and non-agricultural regions. Tools like BLAST can help identify common resistance genes and reveal how they are distributed across different environments. Your final product could be a genomic map showing environmental hotspots of antibiotic resistance.

Sub-field: Microbiology, environmental science, epidemiology

5. Epigenetic Inheritance of Post-Traumatic Stress Disorder (PTSD)

Can trauma experienced by one generation affect the next? This project investigates how PTSD may alter gene expression through epigenetic changes such as DNA methylation. Using published studies from PubMed, you can examine evidence for inherited epigenetic markers in families affected by trauma. A particular focus could be genes involved in stress regulation, such as FKBP5. The outcome could be a literature-based model showing how trauma-related biological changes may persist across generations.

Sub-field: Epigenetics, psychiatry, behavioral genetics

6. How the Gut Microbiome Influences Crohn’s Disease

Your gut contains trillions of microbes that help regulate digestion and immunity. In this project, you can investigate how changes in gut bacteria are linked to Crohn’s disease, a chronic inflammatory bowel condition. Using data from the Human Microbiome Project, you can compare the gut microbiomes of healthy individuals and Crohn’s patients. You might focus on bacterial diversity and the abundance of protective species such as Faecalibacterium prausnitzii. The final result could be a microbial profile showing key differences between healthy and diseased gut ecosystems.

Sub-field: Gastroenterology, microbiology, genomics 

7. AI Bias in the Diagnostic Screening of Melanoma

Artificial intelligence is becoming increasingly common in medical diagnosis, but does it work equally well for everyone? This project examines whether melanoma detection algorithms perform differently across skin tones. Using dermatology image datasets such as the ISIC Archive, you can compare algorithm accuracy across the Fitzpatrick skin-type scale. You can then analyze whether certain groups experience higher misdiagnosis rates due to gaps in training data. The outcome could be an audit of AI fairness in skin cancer screening.

Sub-field: Medical Informatics, bioethics, dermatology

8. Autophagy Failure in Parkinson’s Disease

Brain cells rely on autophagy, a process that removes damaged proteins and cellular waste. In Parkinson’s disease, this system breaks down, allowing harmful protein clumps to accumulate. In this project, you can investigate proteins such as alpha-synuclein and parkin using resources like UniProt and KEGG. By mapping cellular pathways, you can identify where genetic mutations disrupt normal waste removal. The final product could be a pathway diagram showing how autophagy failure contributes to Parkinson’s disease.

Sub-field: Cell biology, neurology, biochemistry 

9. How Climate Change Amplifies the Spread of Dengue Fever

As temperatures rise, mosquitoes that carry dengue fever are expanding into new regions. This project explores how climate factors such as temperature, rainfall, and humidity influence dengue outbreaks. Using climate records from NOAA or NASA and disease data from the WHO, you can compare environmental changes with dengue case numbers over time. A time-lagged analysis may reveal whether weather patterns can predict future outbreaks. The outcome could be a model linking climate change to dengue transmission risk.

Sub-field: Epidemiology, climatology, vector biology

10. How Pancreatic Cancer Evades the Immune System

Pancreatic cancer is difficult to treat partly because tumors can hide from the immune system. This project investigates genes that help cancer cells create protective barriers and avoid immune attack. Using pancreatic cancer datasets from TCGA and cBioPortal, you can analyze the expression of genes such as MUC1 and ST3GAL4. You can then compare gene expression levels with patient survival rates and immune-cell activity. The final result could be a study identifying genetic markers linked to poor outcomes in pancreatic cancer.

Sub-field: Oncology, immunology, metabolic biochemistry

11. Genetic Modifiers and the Phenotypic Variance of Cystic Fibrosis

Not everyone with the same cystic fibrosis mutation develops the disease in the same way. This project explores how secondary genes can influence symptom severity and disease progression. Using data from the CFTR2 database and published genetic studies, you can compare patients with the same CFTR mutation but different lung function outcomes. You can then investigate modifier genes that may explain these differences. The final result could be a model showing how multiple genes work together to shape disease severity.

Sub-field: Medical genetics, pulmonology, bioinformatics

12. Microplastics, Cardiovascular Disease, and Vascular Inflammation 

Tiny plastic particles are now being found in human tissues and blood vessels. In this project, you can investigate whether microplastic exposure contributes to inflammation linked to cardiovascular disease. Using published toxicology studies and environmental health data, you can compare particle concentrations with markers such as IL-6 and TNF-α. You can then create a dose-response model showing how increasing exposure affects vascular inflammation. The project offers a chance to explore a rapidly emerging area of medical research.

Sub-field: Cardiology, toxicology, pathology

13. Malaria’s Effect on Red Blood Cell Polymorphisms

Some genetic traits, such as the sickle cell trait and G6PD deficiency, protect against severe malaria. This project explores how these genetic adaptations affect the interaction between red blood cells and the malaria parasite. Using resources like the Protein Data Bank and the Malaria Atlas Project, you can compare hemoglobin structures and examine global patterns of malaria prevalence. You can then investigate why these protective traits are common in malaria-endemic regions. The outcome could be a case study connecting molecular biology with human evolution.

Sub-field: Parasitology, evolutionary biology, hematology

14. Neuroplasticity and Recovery from Ischemic Stroke

The brain can reorganize itself after a stroke by allowing healthy regions to take over lost functions. In this project, you can investigate how neuroplasticity supports recovery from brain injury. Using imaging data from OpenNeuro or the Human Connectome Project, you can track changes in brain activity during rehabilitation. Comparing scans from different recovery stages may reveal how the brain rewires itself over time. The final result could be a visual timeline showing patterns of neurological recovery after stroke.

Sub-field: Neuroplasticity, physical medicine, radiology

15. Fatty Liver Disease in Adolescents

Nonalcoholic fatty liver disease is becoming increasingly common among teenagers. This project investigates how diet, physical activity, and lifestyle factors contribute to the condition. Using public health datasets such as YRBSS, you can analyze variables including sugar consumption, sedentary behavior, and liver health markers. You can then compare trends across age groups, regions, or demographic categories. The outcome could be a public health profile identifying major risk factors for adolescent fatty liver disease.

Sub-field: Hepatology, pediatrics, nutritional science

Horizon Academic Research Program (HARP)

If you want to take one of these disease research ideas further than a self-directed project, Horizon offers trimester-long mentored research programs across subject areas relevant to disease research, including genetics, immunology, public health, neuroscience, bioinformatics, and biomedical ethics. Horizon is one of the few research programs for high school students that lets you choose between quantitative and qualitative approaches, so whether your interest leans toward genomic data analysis or a literature-based investigation into disease mechanisms, there’s a track suited to it. Once you select a subject track, Horizon pairs you with a professor or PhD scholar who mentors you through the full research process, from refining your question to interpreting your findings. As a participant, you’ll be expected to develop a 20-page research paper that you can submit to academic journals for publication as a high school student. The program also provides a letter of recommendation and detailed feedback you can apply to future research. You can find the application here.

Frequently Asked Questions 

What are disease research project ideas for high school students?
Disease research project ideas for high school students are independent investigations into how specific diseases develop, spread, or respond to treatment, using publicly available datasets, scientific literature, and basic analytical tools. These projects let you move beyond textbook learning to engage directly with unanswered research questions in fields like oncology, neuroscience, genetics, and public health.

Do I need lab access to complete a disease research project?
No. Most projects on this list rely entirely on publicly available datasets and databases, such as NHANES, TCGA, cBioPortal, the CFTR2 database, and the Protein Data Bank, combined with tools like Python, Google Sheets, or BLAST. This makes disease research projects accessible to students without access to a formal laboratory, since the work centers on data analysis and literature review rather than bench experiments.

What skills do disease research projects help build?
These projects build skills in data analysis, scientific literature review, hypothesis development, and interdisciplinary thinking. Depending on the topic, you may also develop skills in genomics, bioinformatics tools like BLAST or KEGG, statistical modeling, or basic programming in Python, all of which are directly transferable to undergraduate coursework in biology, public health, or biomedical engineering.

Which disease research project ideas connect biology with technology or data science?
The AI Bias in Melanoma Screening project examines algorithmic fairness using dermatology image datasets and the Fitzpatrick skin-type scale. The Circadian Rhythms and Metabolic Syndrome project uses Python or Google Sheets to analyze NHANES data. The Mapping Environmental Reservoirs of Antibiotic Resistance project uses genomic databases and BLAST to identify resistance gene patterns, combining microbiology with computational analysis.

Which disease research projects connect to public health or environmental factors?
The Climate Change and Dengue Fever project links climate data from NOAA or NASA with WHO disease records to model environmental influence on outbreaks. Fatty Liver Disease in Adolescents uses YRBSS public health data to study diet and lifestyle risk factors. Microplastics and Cardiovascular Disease examines how environmental exposure relates to vascular inflammation markers.

How do I choose the right disease research project for my interests?
Start by identifying which sub-field genuinely interests you, whether that’s oncology, neuroscience, genetics, immunology, or public health, and then look for a project with a research question you can investigate using accessible data. Projects vary in technical demand: some require basic data analysis skills like the metabolic syndrome project, while others involve more specialized bioinformatics tools like the autophagy and Parkinson’s disease project. Matching the project’s required skills to your current comfort level will make the research process more productive.

Can a disease research project from this list be developed into a more formal academic paper?
Yes. Many of these projects are structured around producing a tangible final product, such as a comparative review, pathway diagram, or data-driven study, which can be expanded into a more formal research paper. Students looking to develop a project like this into a full academic paper with mentor guidance can also consider structured research programs that support that kind of extended, independent investigation.

Image source: Horizon Academic Research Program