Efficient development of clinical-grade prediction models of cancer treatment outcomes

1 May 2019 10:28 AM | Marie-Louise Rankin (Administrator)

South Australia Branch Meeting, April 2019

The speaker for the April 2019 meeting of the SA Branch was Professor Michael Sorich. He is a clinical epidemiologist, biostatistician, and pharmacist from Flinders University with a primary research interest in the use of biological, chemical, and clinical markers to guide decisions regarding the most appropriate use of medicines (precision medicine). His current research primarily focuses on evaluation and evidence development with respect to precision medicine approaches informing the use of cancer medicines. This includes analysis of pooled clinical trial data, and evaluation of patient data from routine clinical care.

Michael’s talk “Efficient development of clinical-grade prediction models of cancer treatment outcomes” is a piece of his current research works funded by a Beat Cancer project grant. At the beginning of his talk, Michael described the precision medicine - an approach to improving the practice of medicine based on understanding the individual characteristics that are associated with, and potentially causative of, drug therapeutic and adverse effects. Using a number of example studies, Michael highlighted the significant advances achieved in precision medicine over the last decade that enable understanding of biological differences between individuals. There are many potential benefits of precision medicine including minimizing risk of drug toxicity, increasing benefit from drugs used, contributing to the sustainability of the healthcare system and facilitating drug discovery and development programs. In particular, Michael highlighted the treatment benefit in advanced cancer by showing a classical example of anti-EGFR therapy for advanced colorectal cancer.

Clinical prediction models were mainly discussed in his talk - an option for providing more personalised estimates of prognosis, harms and potentially treatment benefit. Michael’s talk mainly covered the barriers that exist to developing prediction models that may be used to guide clinical practice and decisions, and emerging data platforms that may help overcome many of these issues. The detail of his talk and particularly prediction models of cancer treatment outcomes can be found by contacting Michael.sorich@flinders.edu.au.

A dinner was held right after the meeting at Jasmin Indian Restaurant, 31 Hindmarsh Square, Adelaide.

By Shahid Ullah


Comments

  • 25 Sep 2019 9:28 AM | Benjamin Seyler
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