Student Research Projects

Explore student-led AI and healthcare research projects designed for learning, mentorship, and responsible scientific exploration. From medical imaging to genomics, students practice turning questions into structured project work.

Student Research: Medical Imaging research visual

NeuroScan AI

Student Research: Medical Imaging

Active

A student-led project exploring how deep learning can identify patterns in MRI scans related to neurodegenerative disease education and early research questions.

Deep LearningComputer VisionNeuroimaging
Progress75%
8 team members
Student Research: Genomics research visual

GenomePredict

Student Research: Genomics

Active

A student research project that introduces genomic data analysis, SNP patterns, and responsible discussion of disease risk prediction.

BioinformaticsMLGenomics
Progress60%
6 team members
Student Research: Clinical AI research visual

CardioRisk Analyzer

Student Research: Clinical AI

Active

A guided student project studying cardiovascular risk factors, basic model building, and how clinical context shapes healthcare AI.

Clinical AIRisk PredictionHealthcare
Progress85%
5 team members
Student Research: Drug Safety research visual

DrugInteract

Student Research: Drug Safety

Completed

A student project using natural language processing to learn how medical literature can be reviewed for drug safety signals.

NLPDrug SafetyText Mining
Progress100%
4 team members
Student Research: Pathology research visual

PathologyNet

Student Research: Pathology

Active

A student-led exploration of digital pathology, image analysis, and how AI can support research questions in oncology education.

Vision TransformersPathologyOncology
Progress45%
7 team members
Student Research: Wearable Tech research visual

VitalSign Monitor

Student Research: Wearable Tech

Planning

A planned student project for learning time-series data, wearable sensors, and ethical limits of health prediction.

IoTTime SeriesPredictive Analytics
Progress15%
3 team members

Want to Contribute?

We're always looking for passionate students to join our student research teams. No prior experience required - just curiosity and dedication.