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Utilising melanoma risk prediction tools for newly diagnosed patients

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Manage episode 500376831 series 2943492
Content provided by Melanoma Institute Australia. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Melanoma Institute Australia or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, we explore how melanoma risk prediction tools are transforming clinical decision-making for newly diagnosed patients. These tools, developed by Melanoma Institute Australia and freely available at melanomarisk.org.au, help clinicians tailor care and improve outcomes.

Our multidisciplinary experts provide practical guidance on using tools to predict sentinel node metastasis, recurrence risk and more. Through real-world case examples and expert insights, this episode offers valuable strategies for integrating personalised risk assessment into your practice.

This podcast is suitable for multidisciplinary specialists, primary care physicians and other healthcare professionals.

Resources:

Speakers:

  • Prof Anne Cust - Cancer Epidemiologist and Faculty Member, Melanoma Institute Australia | Interim Director, Daffodil Centre | Chair, Cancer Council National Skin Cancer Committee

  • A/Prof Alex Varey - Plastic and Reconstructive Surgeon, Melanoma Institute Australia and Westmead Hospital | Clinical Associate Professor, The University of Sydney

  • A/Prof Linda Martin - Director of Dermatology Services, Melanoma Institute Australia | Staff Specialist, Sydney Children’s Hospital | Associate Professor of Dermatology, University of NSW

Please note that this podcast was accurate at the time of recording (August 2025) but may not reflect the rapidly evolving treatment landscape and approvals in Australia.

MIA’s Education Program is proudly supported through unrestricted educational grants from BMS, MSD and HEINE.

  continue reading

29 episodes

Artwork
iconShare
 
Manage episode 500376831 series 2943492
Content provided by Melanoma Institute Australia. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Melanoma Institute Australia or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, we explore how melanoma risk prediction tools are transforming clinical decision-making for newly diagnosed patients. These tools, developed by Melanoma Institute Australia and freely available at melanomarisk.org.au, help clinicians tailor care and improve outcomes.

Our multidisciplinary experts provide practical guidance on using tools to predict sentinel node metastasis, recurrence risk and more. Through real-world case examples and expert insights, this episode offers valuable strategies for integrating personalised risk assessment into your practice.

This podcast is suitable for multidisciplinary specialists, primary care physicians and other healthcare professionals.

Resources:

Speakers:

  • Prof Anne Cust - Cancer Epidemiologist and Faculty Member, Melanoma Institute Australia | Interim Director, Daffodil Centre | Chair, Cancer Council National Skin Cancer Committee

  • A/Prof Alex Varey - Plastic and Reconstructive Surgeon, Melanoma Institute Australia and Westmead Hospital | Clinical Associate Professor, The University of Sydney

  • A/Prof Linda Martin - Director of Dermatology Services, Melanoma Institute Australia | Staff Specialist, Sydney Children’s Hospital | Associate Professor of Dermatology, University of NSW

Please note that this podcast was accurate at the time of recording (August 2025) but may not reflect the rapidly evolving treatment landscape and approvals in Australia.

MIA’s Education Program is proudly supported through unrestricted educational grants from BMS, MSD and HEINE.

  continue reading

29 episodes

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