Kaylee Molin
  • The University of Western Australia (M013), 35 Stirling Highway,

    6009 Perth

    Australia

Calculated based on number of publications stored in Pure and citations from Scopus

Personal profile

Biography

Kaylee is a PhD candidate in Medical Physics and a recipient of the Forrest Research Foundation PhD Scholarship. She completed a Bachelor of Science, double majoring in Software Engineering and Physics, followed by a Master of Physics (Medical Physics).

Her research focuses on applying artificial intelligence to PSMA PET/CT and Lu-177 SPECT/CT imaging in prostate cancer. She is developing automated tools for lesion segmentation, radiomic feature extraction, and personalised dosimetry, with the aim of improving response assessment and enabling more individualised treatment strategies.

She has a broader interest in integrating these automated imaging workflows into clinical practice to support scalable, data-driven approaches to cancer care, with the aim of improving outcomes for patients with prostate cancer.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Research expertise keywords

  • PSMA PET/CT
  • SPECT/CT
  • Prostate Cancer
  • AI
  • Deep learning
  • Biostatistics
  • Personalised medicine
  • Theranostics
  • Medical physics
  • Nuclear Medicine
  • Radiomics
  • Machine learning

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