Accessible Diagnostics, Smarter Care
We are redesigning AI in brain tumor diagnosis for global clinical impact
Founded from a shared vision at the New York Academy of Sciences' Junior Academy, Neuroflux was created by four youths united by a passion for neuroscience and AI ethics. As an interdisciplinary team from diverse academic backgrounds, we brought unique perspectives to every decision. Despite time zone differences and scheduling conflicts, we collaborated entirely virtually—across four months of video calls, code reviews, and late-night discussions—to ultimately bring Neuroflux to life.
Our mission
Our vision
Our story
We strive to bridge the gap between diagnostic accuracy, efficiency and interpretability through our unique model architecture.
By delivering both precision, accessibility and transparency, Neuroflux empowers clinicians to supports early detection, make data-driven decisions, and expands access to advanced diagnostic tools in under-resourced healthcare settings.
To advance global healthcare through science-driven, purpose-led innovation, building ethical AI diagnostic tools that are accessible, and built for lasting impact.
Our Values
At Neuroflux, we stand for ethical, inclusive, and transparent innovation, to be driven by science, guided by purpose, and build for impact
Integrity
We believe in upholding scientific honesty and responsible innovation, prioritising patient outcomes and ethics at the core of our decisions
Transparency
By openly adapting and improving upon baseline models, we ensure every layer of Neuroflux is explainable, traceable, and accountable
Equity
Built on publicly available and a diverse range of datasets, Neuroflux is designed to support fair and inclusive innovation in precision oncology
Collaboration
As a globally distributed, interdisciplinary team, we value diversity and shared knowledge to fuel better solutions and drive real-world impact
Our Team
We are a team of passionate STEM innovators from three countries, bonded by our shared mission of advancing ethics in global cancer diagnostics
.jpg)