The proposed study on early cancer detection is grounded in the potential to significantly transform cancer diagnosis and treatment. The development of 2PCube was carried out through several projects completed successfully by Dr. Krishna Dev Kumar, who is an international renowned expert in Artificial Intelligence and Digital Twin-based system fault diagnosis, prognosis and recovery. The 2PCube has successfully predicted early failures (3 to 6 months ahead) of critical systems in aerospace, manufacturing and transportation sectors.  Early cancer detection is critical for early intervention and better patient outcomes. 2PCube solution for health (2PCubeHealth) can analyze vast amounts of medical data with high precision, potentially reducing the rates of false positives and false negatives in cancer screenings. Furthermore, it can process and analyze medical data much faster than humans, enabling rapid diagnosis and reducing the time between detection and treatment initiation. This is particularly important for aggressive cancers. Finally, 2PCubeHealth’s early detection has the potential to reduce the overall financial burden on patients and healthcare systems by preventing late-stage cancer cases that are more costly to treat.

The proposed study will be carried out under the clinical supervision of Dr. J.K. Singh (Senior Oncologist and Padmashri Awardee) at S. S. Hospital and Research Centre, Patna. This observational study will take use of the image-based datasets of diagnosis of Cancer patients who will participate in the project work.