PATIENT REPORTED OUTCOMES IN THE DIAGNOSIS AND TREATMENT OF LYMPHOMA
Dr Elizabeth Goodall,
Haematologist and PhD student
Austin Health, Olivia Newton-John Cancer Research Institute & Monash Health, Melbourne, Australia
RESEARCHER PROFILE
Filmed in Melbourne | February 2025
Dr. Elizabeth Goodall (BMedSci Hons, MBBS Hons, FRACP, FRCPA) is a PhD student and early career researcher with La Trobe University and the Olivia Newton John Cancer Research Institute (ONJCRI), and Haematologist at Austin Health and Monash Health, Melbourne.
After completing her undergraduate degree in Medical Sciences at La Trobe University she went onto complete an Honours degree in malaria research before enrolling in Medicine at Monash University, Gippsland, Victoria in Australia.
Following medical school, she trained at Austin Health and successfully completed both clinical and laboratory haematology programs before moving to a lymphoma clinical trials fellowship at Monash Health. This fellowship provided essential clinical skills and has fostered a life-long interest in improving patient access to trials, finding ways to better select therapies for patients with blood cancers and learning more about the patient’s experience throughout treatment.
Her specific interest in how patients experience their illness and treatment forms the basis for her research in improving patient outcomes. This research comes at a pivotal time in modern lymphoma management with an ever-increasing number of treatment options available and renewed focus on each patient’s journey.
This has led to her PhD on Patient Reported Outcomes (PROs) which will focus on the accurate documentation of the patient experience and learn how best to include this data for future clinical trial design, an essential component of obtaining excellent treatment outcomes. For this work she is the 2025 recipient of the Haematology Society of Australia and New Zealand and the Leukaemia Foundation New Investigator PhD Scholarship which will provide invaluable support throughout the PhD.
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Causal genes and pathogenic mechanisms underlying gastrointestinal diseases
Professor D’Amato has more than 25 years research experience in the field of human genetics and complex diseases, with activities most recently geared towards a translational application for therapeutic precision in gastroenterology. His team, the Gastrointestinal Genetics Laboratory, combine leading expertise in genomic, computational and pre-clinical research, and have contributed important breakthroughs linking specific genes and pathogenetic mechanisms to a number of gastrointestinal diseases like inflammatory bowel disease (IBD), microscopic colitis (MC) and irritable bowel syndrome (IBS).
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Metabolic phenotyping, lipidomics & bioinformatics in dementia
Dr Luke Whiley is a dementia researcher whose work focuses on understanding how the body’s metabolism, particularly the biology of fats known as lipids, influences our health throughout ageing.
His research explores how the body responds to illness, lifestyle, and environmental stress at a chemical level, and how these responses shape longterm disease risk. Using advanced blood-based measurement technologies, Dr Whiley studies thousands of small molecules at once to build a snapshot of a person’s metabolic health. By combining these measurements with data science approaches, his work identifies biological pathways that become disrupted in disease, providing insight into why some people are more vulnerable to conditions such as dementia.
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Liver cancer biomarkers, risk prediction & progression
Dr. Rodrigo Carlessi is an expert in Cancer Genomics and Molecular Biology, with an extensive track record in liver cancer research. He leads the Cancer Genomics Group within the Liver Disease and Regeneration Laboratory at the Curtin Medical Research Institute. He has an impressive publication record, with 43 manuscripts that have collectively garnered over 2,680 citations. His research leverages cutting-edge genomics and transcriptomics technologies, as well as long-read DNA sequencing, to explore mechanisms, identify biomarkers, and develop therapeutic targets in liver disease and cancer.
