Cancer is one of the most significant challenges of our time, and we believe that AI holds the key to addressing it. However, this solution should be accessible and free for everyone. Machine vision technology has long proven effective in early diagnosis, which is crucial for curing cancer. Yet, until now, it has largely remained in the realm of whitepapers. SAFESCAN is a project dedicated to aggregating and enhancing the best algorithms for detecting various types of cancer and providing free computational power for practical cancer detection. We aim to create open-source products that support cancer diagnosis for both patients and doctors.
Safe Scan Cancer AI Detection is leveraging the power of AI
and blockchain technology to revolutionize cancer detection, making advanced
cancer detection algorithms accessible and free for everyone worldwide.
Key Features
Democratizing cancer detection technology: Safe Scan
provides cutting-edge, open-source tools that support early cancer diagnosis
for patients and healthcare professionals. Our platform rewards the
best-performing algorithms while ensuring they remain in the public domain,
creating a self-sustaining ecosystem that continuously improves cancer
detection capabilities.
Building practical medical applications: Starting with
SELFSCAN, our skin cancer detection app, we're focused on creating
real-world medical solutions that meet regulatory requirements. Our roadmap
includes expanding to breast and lung cancer detection, with all solutions
undergoing proper clinical trials and certification processes to ensure they
can be widely adopted in healthcare settings.
Creating a collaborative research ecosystem: By leveraging
Bittensor's decentralized network, we're building a community where
researchers can contribute to and improve cancer detection algorithms,
earning rewards for their innovations. This approach allows us to aggregate
expertise from around the world while continuously expanding our anonymized
cancer detection datasets through partnerships and user contributions.