5th International Patellofemoral Pain Research Retreat

We are delighted to welcome you to the 5th International Patellofemoral Pain Research Retreat, to be held on the beautiful Gold Coast in Queensland, Australia, from 18-20 July 2017.

Building on the four previous successful Retreats, iPFRR17 will bring together leaders and experts in patellofemoral pain research from around the world. The aims of the Retreat are to share the latest patellofemoral pain research developments, discuss the literature to formulate consensus statements to disseminate knowledge, and develop a future research agenda for patellofemoral pain.

Following the Retreat, we invite all colleagues with an interest in patellofemoral pain to attend the Clinical Symposium on 22 July 2017. This will be held in Brisbane at The University of Queensland, approximately one hour north of the Gold Coast. We have developed an exciting Symposium program, incorporating summaries of key information and outcomes of the Retreat, keynote presentations from highly respected international experts on patellofemoral pain, and interactive hands-on workshops to refine your clinical skills. For any clinician who manages patients with patellofemoral pain, the Clinical Symposium is an event not to be missed.

Please click here for further details about the Clinical Symposium.

Keynote Speakers

Associate Professor Richard Souza

Dr. Richard Souza is a physical therapist, and Associate Professor in the Department of Physical Therapy and Rehabilitation Science at the University of California, San Francisco (UCSF). His research interests are focused on the relationships between mechanics of human movement and lower extremity injuries, combining advanced quantitative MR imaging and the evaluation of physical activity and loading behaviors. Read more.
Associate Professor Thor Besier

Dr Thor Besier is an Associate Professor at the Auckland Bioengineering Institute and has a joint appointment with the Department of Engineering Science. Thor’s research combines medical imaging with computational modelling to understand mechanisms of musculoskeletal injury and disease. Read more.