Awards
Bronze Medal Criteria
Competition Deliverables
Our team has successfully completed all required competition deliverables:
- Wiki: Comprehensive documentation of our project
- Presentation Video: Showcasing our project achievements
- Judging Form: Completed with detailed responses
- Judging Session: Active participation to present our work to the evaluation panel
Project Attributions
Our Attributions page details works done by each of our members and external help, which summarizes each member's work in different parts of the project.
Project Description
Our Project Description page details why and how we chose to tackle our research challenge and develop our innovative solution.
Contribution
Our Contributions page details the contributions of our work to the iGEM community, including novel composite parts, validated functional systems, and optimized technological methods.
Silver Medal Criteria
Engineering Success
Our Engineering page details how we went through multiple iterations of the Design-Build-Test-Learn cycle for our lactate sensor system, learning from past iterations and refining our design with each cycle! Our systematic approach led to the successful development of the LS3.5 sensor with optimal performance.
Human Practices
Our Integrated Human Practices page details our extensive exploration of our project—we engaged with stakeholders from patient groups, academia, industry, and beyond to gather insights. From these conversations, we received valuable feedback, which we incorporated into our work to improve our project design and confirm that our product addresses a critical need in tackling tumor microenvironment challenges.
Gold Medal Criteria
General Biological Engineering
Best Part Collection
Our Parts page details how we designed the parts in our collection—with a focus on standardization—to facilitate easy assembly, interchangeability, and future adaptation by other iGEM teams and synthetic biology researchers.
Best Model
Our Model pagedetails our comprehensive modeling work and demonstrates how this work uses sophisticated mathematical and computational approaches for understanding and optimizing our lactate-responsive system.We developed predictive models for sensor kinetics, protein-protein interactions, and system dynamics that guided our experimental design and validated our engineering approach, providing valuable modeling frameworks for future teams working on similar biosensor systems.
Specializations
Best Education
Our Education page details how we engage communities and students across all education levels: we spread scientific knowledge of synthetic biology via diverse initiatives, workshops, and events.