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Principal Investigator
Name
Abdul Azeez Irfan
Degrees
Undergrad
Institution
Sri Lanka Institute of Information Technology
Position Title
Student
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-1579
Initial CDAS Request Approval
Jul 8, 2024
Title
Advancing Precision Oncology Through Digital Profiling: Integrating Multimodal Data for Personalized Cancer Treatment
Summary
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.
Aims

Detection of Cancer and classification
Progression and Time series prediction
Recurrence prediction
Precision medicine in oncoclogy treatment for cancers

Collaborators

Arudchayan Pirabaharan arudchayan01@gmail.com Sri Lanka Institute of information Technology
Waseek Lareef Sri Lanka Institute of information Technology
Shamlan Ahamed Sri Lanka Institute of information Technology