A team of researchers at Shoolini University has developed a cutting-edge AI & ML model that could significantly improve the early detection of breast cancer — a disease that continues to affect millions globally.
Led by Associate Professor Gaurav Gupta, along with Assistant Professor Bharti Thakur, Shivani Bhardwaj, and research scholar Abdullahi Mohamed, the team explored multiple ML algorithms before narrowing down to three high-performing models: Support Vector Machine (SVM), Logistic Regression, and K-Nearest Neighbours (KNN). These were combined into a powerful ensemble model designed to boost diagnostic accuracy.
The researchers tested two ensemble strategies — hard voting and soft voting — using a comprehensive dataset that contained clinical and genetic data of breast cancer patients. To enhance efficiency, they applied Principal Component Analysis (PCA) and Neighbourhood Component Analysis (NCA) for feature selection and data reduction.
The results were striking. The final model achieved an accuracy of 99.6%, with high scores across precision, recall, and F1 metrics. Validation tools such as ROC curves and confusion matrices confirmed the system’s robustness and reliability.
“This research has the potential to transform how breast cancer is diagnosed,” said Gaurav Gupta. “By integrating multiple intelligent algorithms, we’ve created a tool that supports doctors with faster and more accurate diagnoses. Crucially, it aids early detection — which is key to saving lives,” he adds.
Designed to be both scalable and cost-effective, the system can be integrated into hospital software or diagnostic apps. It holds particular promise for rural and underserved areas, where access to advanced equipment is often limited.
“Machine learning tools like this can reduce healthcare costs by cutting down on unnecessary testing and minimising misdiagnoses,” Gaurav Gupta added. “These can be used in public hospitals, primary health centres, and mobile platforms,” he emphasised.
By blending advanced AI techniques with real-world applications, Shoolini’s researchers are taking a major step toward accessible, affordable, and early breast cancer detection — helping bridge gaps in India’s healthcare ecosystem and beyond.
Ahana Nath
June 26, 2025
