Personalised Oncology Care: A Case Study on Using an AI-Based App for Chemotherapy Management and Lifestyle Managemen

Authors

  • Hari Prakash Gunisetty PhD Scholar, Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, India.
  • Sunil Kumar Doddaiah Professor and Head, Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, India.
  • Kiran Pura Krishnamurthy Assistant Professor, Department of Medical Oncology, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, India.
  • Vanishri Arun Associate Professor, Department of Information Science and Engineering, SJCE, JSS Science and Technological University, Mysuru, India.
  • Deepika Yadav PhD Scholar, Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, India.
  • Arun Gopi Assistant Professor, Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, India.

DOI:

https://doi.org/10.31557/apjcc.2025.10.2.649-651

Keywords:

AI-based application., Medication adherence, Personalised oncology care., Chemotherapy management

Abstract

This case report explores the use of Mebot, an AI-based mobile application, to enhance medication adherence and lifestyle management in a patient undergoing chemotherapy. Over one week, Mebot was utilised by a patient to manage a complex chemotherapy regimen, providing timely reminders for medication intake and generating personalised exercise plans to support weight reduction. The app’s “connected dots” functionality allowed for integrating related tasks like medication and exercise into a seamless health management approach. Multiple users, including the authors of this report, tested the app and reported consistent, satisfactory results, highlighting Mebot’s reliability and effectiveness. The study findings suggest that Mebot could be a valuable tool in managing non-communicable diseases (NCDs) by improving adherence to treatment protocols and supporting lifestyle interventions. However, further research involving more prominent and diverse populations is necessary to validate these preliminary observations and explore the broader applicability of AI-driven mobile applications in personalised oncology care.

Published

2025-04-16

How to Cite

Gunisetty, H. P., Doddaiah, S. K., Krishnamurthy, K. P., Arun, V., Yadav, D., & Gopi, A. (2025). Personalised Oncology Care: A Case Study on Using an AI-Based App for Chemotherapy Management and Lifestyle Managemen. Asian Pacific Journal of Cancer Care, 10(2), 649–651. https://doi.org/10.31557/apjcc.2025.10.2.649-651

Issue

Section

Case report