Abdul Azeez Irfan

Undergrad

Sri Lanka Institute of Information Technology

Student

PLCO (Learn more about this study)

PLCO-1579

Jul 8, 2024

Advancing Precision Oncology Through Digital Profiling: Integrating Multimodal Data for Personalized Cancer Treatment

Precision oncology represents a paradigm shift in cancer treatment, aiming to tailor therapies to the unique molecular characteristics of individual tumours and patients. This research seeks to explore the role of digital profiling in enhancing precision oncology by integrating multimodal data to develop comprehensive digital health profiles for cancer patients. Leveraging advancements in genomics, clinical imaging, molecular pathology, and patient-reported outcomes, the study aims to elucidate the complex interplay between genetic mutations, tumour microenvironment, treatment responses, and patient outcomes. Through advanced data analytics, machine learning techniques, and Explainable AI, the research will identify predictive biomarkers, therapeutic targets, and personalised treatment strategies tailored to individual patients while ensuring transparency and interpretability of the algorithms. Collaborative efforts with oncologists, researchers, and industry partners will facilitate the translation of research findings into clinical practice. Ethical and regulatory considerations will be paramount to ensure patient privacy, informed consent, responsible data usage, and Responsible AI practices. By advancing precision oncology, this research aims to improve cancer outcomes, minimise treatment-related toxicities, and optimise the allocation of healthcare resources.