EFFECTIVENESS, SAFETY AND THE DEVELOPING USE OF AI AND DEEP LEARNING IN PATIENT STRATIFICATION AND ADVERSE EVENT PREDICTION FOR CHECKPOINT INHIBITORS IN CANCER IMMUNOTHERAPY

Authors

Parna Mondal
Department of Pharmaceutical Technology, Maulana Abul Kalam Azad University of Technology, NH-12, Haringhata, Nadia, Pin-741249, West Bengal
Dipanwita Maity
Department of Pharmaceutical Technology, Maulana Abul Kalam Azad University of Technology, NH-12, Haringhata, Nadia, Pin-741249, West Bengal
Subhadip Das
Department of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal
Shruti Pandey
Department of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal
Dibyendu Mukherjee
Department of Computer Science and Engineering, Sanaka EducaƟonal Trust, Durgapur- 713212, West Bengal
Subrata Kumar Majumdar
Department of Mechanical Engineering, Sanaka Educational Trust’s Group of Institutions, Durgapur, West Bengal
Kousik Roy
Department of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal

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Published

29 March 2026

How to Cite

Mondal, P. ., Maity, D. ., Das, S., Pandey, S. ., Mukherjee, D. ., Majumdar, S. K. ., & Roy, K. (2026). EFFECTIVENESS, SAFETY AND THE DEVELOPING USE OF AI AND DEEP LEARNING IN PATIENT STRATIFICATION AND ADVERSE EVENT PREDICTION FOR CHECKPOINT INHIBITORS IN CANCER IMMUNOTHERAPY. In S. Banerjee, S. K. . Majumdar, R. . Bhandari, & A. . Biswas (Eds.), Exploring Smart and Innovative Solutions for a Sustainable Future (pp. 165-168). Deep Science Publishing. https://doi.org/10.70593/978-93-7185-465-8_33