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Precise & InterpretableBrain Tumor Diagnosis

A not-for-profit, open-source AI model to revolutionise ethics in deep learning

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Why Neuroflux matters

Restorative Yoga

Neuroflux focuses on glioblastoma multiforme (GBM), one of the most aggressive brain tumors, often associated with late diagnosis. Due to vague early symptoms and diagnostic delays, GBM frequently goes undetected until advanced stages and significantly reduces patient survival rates.

Better for Doctors, Better for Patients

Neuroflux is a computationally efficient multimodal deep learning model for brain tumor segmentation and diagnosis, which highlights tumor location and damage within patients' brain

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SDG 3

Good Health and Well-Being

01

Designed to detect GBM earlier and more accurately, enabling faster diagnosis and improving patient survival outcomes

02

Developed as a lightweight, open-source software to ensure access to AI diagnostics for low-resource hospitals without costly infrastructure

03

Incorporates interpretable heatmaps to empower clinicians in verifying diagnostic decisions, boosting clinical transparency

04

Enables radiologists to precisely pinpoint tumor boundaries and plan safer, more effective treatments for patients

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Neuroflux in Action

Slide to reveal how Neuroflux’s heatmaps distinctly highlight tumor regions with precision and clarity

Accelerating SDG 3 Targets

Target 3.4: Reduce Premature Mortality

Reducing mortality rates through AI-powered early tumor detection

Target 3.8: Achieve Universal Health Coverage

Expanding access to AI diagnostic tools in underserved regions

WHAT CLINICIANS & RESEARCHERS ARE SAYING

"This is an outstanding research project conducted by a group of high school students who are very well-read in their field of computational biology. They demonstrate a college-level and above understanding of how machine learning models are built and tested for human diseases, particularly for neuroscience."
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