Ingham Institute’s Cancer Platform is dedicated to improving cancer prevention and treatment, transforming patient care through research.
The majority of its members are clinicians working across the District’s network (Liverpool Cancer Therapy Centre, Macarthur Cancer Therapy Centre, Cancer Survivorship Centre). The team includes radiation oncologists, medical oncologists, epidemiologists, health data scientists and project managers.
Our Cancer research focus covers the broad spectrum of clinical cancer including surgery, medical and radiation oncology, and precision medicine:
- Australian Centre for Cancer Equity
- Cancer Registry
- Cancer Survivorship
- Medical Oncology
- Radiation Oncology
- Medical Physics
- Collaboration for Cancer Outcomes, Research and Evaluation (CCORE)
- Big Data
- Imaging-Directed Radiotherapy
Activities extend from the individual cancer patient to the organisation of cancer services at state, national and international levels.
Key projects
- Improving patient care and health services with big data and machine learning
- Improving access of priority populations to radiation therapy both in Australia and around the world
- Reviewing current patterns of practice of cancer treatment for First Nations patients
- Systematic improvement of quality, integrity and capacity of clinical data research using innovative software platforms and methods, unlocking value for clinicians and researchers eg the Cancer Variations (CaVa) platform
- Cancer survivorship research program – an often less-studied and less-funded area of cancer compared with screening, diagnostics and therapy
- A purpose-built facility for cancer survivorship research; A “living laboratory” spanning psycho-oncology, immune-oncology, physical activity / wellness, primary care and integrative oncology
- Machine learning to assess for cardiac toxicity risk in radiotherapy for lung and breast cancer
- A next-generation software and governance framework for secure, highly-automated clinical quality registries (CQRs) using cloud computing facilities
- Accelerating the creation of vital real-world evidence about clinical practice through AI and digital health solutions
