AI & Blockchain for Breast Cancer Prediction

Breast cancer is a big challenge, and its early detection is important for treatment and prognosis. Integrating it with artificial intelligence (AI) and blockchain is an approach to improve early cancer prediction and secure the medical data of patients. With predictive analysis providing accurate results and patient information being secure, AI and blockchain can help in breast cancer prediction and detection.

AI and hybrid algorithms are revolutionizing prediction

Machine learning models can help identify patterns in huge amounts of data from patient histories and medical images that might be difficult for a human to spot. While AI can increase the accuracy of diagnosis, it can also help reduce the time taken for diagnosis. Researchers can improve the predictive models further for more accuracy in identifying high-risk individuals. This is possible through the development of hybrid genetic algorithms that combine AI with computation. The analytical ability is the key to the advancement of breast cancer prediction in AI. 

Safeguarding patient data with blockchain

Data security and privacy are big concerns when AI comes into the picture. However, blockchain, with its decentralized and immutable ledger technology, is a solution to secure medical data and its analytics. Medical records can be encrypted and stored in a block on the chain. Each transaction, such as data input and access by healthcare professionals, must be timed and recorded. Blockchain is a transparent and safe way to manage patient data.

Tracking the road ahead

The complexity of combining both technologies requires particular expertise. Scalability issues must be addressed to ensure that the system can handle a large volume of global medical data. The combined system must integrate with the current healthcare infrastructure while also facing regulatory issues. A study conducted in September 2025 on breast cancer prediction using a hybrid genetic algorithm and blockchain shows 99.47% accuracy that outperforms existing models.

Detecting early signs

Early detection enables timely intervention and prognosis in patients. Collaborative research and treatment development are possible due to secure data sharing for healthcare institutes. To design individual treatment plans, patients can use decision-making tools with the help of precise AI predictions and data. Together, AI and blockchain present a promising future — one where early detection is more accurate, data is safer, and patient outcomes are stronger.