SPEAKER SERIES
October 22
Jacqueline Metzler: Imaging and Therapy for Cancer Treatment
Jacqueline Metzler is a Molecular Imaging & Theranostics Product Specialist at Siemens Healthineers, where she provides strategic consultation and product solutions to healthcare institutions developing and expanding molecular imaging and theranostics programs.
- How theranostics can use related molecules to find and treat cancer.
- A patient journey from diagnosis through treatment and response monitoring.
- The role of PET/CT, artificial intelligence and patient-facing technology.
- How targeted radiopharmaceutical therapy fits within an increasingly personalized cancer care landscape alongside approaches such as radiation therapy.
October 29
Margaret De Jesus: The Value of Time: A User Experience Perspective on Cancer Care
Margaret De Jesus is a Senior User Experience Researcher in Cancer Care at Siemens Healthineers, focused on patients, clinicians and care teams across complex oncology systems, with emphasis on Radiation Oncology.
- Why time is not neutral in healthcare: waiting, coordinating and repeating information add to the burden of treatment.
- Three forms of time toxicity — lost, misused and uncertain time — and how care-team challenges shape the patient experience.
- How UX research reveals burdens hidden within complex clinical systems, including radiation oncology workflows.
- What becomes possible when we intentionally protect time for the people and moments that matter most.
November 5
James Robar: Artificial Intelligence and Medical Imaging
James Robar is Senior Director of Radiation Oncology at Siemens Healthineers, Adjunct Professor at Dalhousie University, Extraordinary Professor at the University of Johannesburg, and a Canadian Governor General Innovation Laureate.
- How AI is connecting imaging, diagnosis, clinical decision-making and treatment.
- Healthcare AI built on large-scale clinical datasets, computing infrastructure and clinical collaboration.
- Examples including autonomous imaging, AI-enhanced reconstruction and clinical decision support.
- Radiation therapy applications including AI-driven contouring, dose prediction, treatment planning and adaptive workflows.
- The future of intelligent healthcare systems and operational digital twins.