Accelerating Particles, Enhancing Diagnosis: A Cyclotron-Based Radiopharmaceutical Production and Molecular Imaging Journey in West Africa

Speaker:

 

Alhassan Mohammed Baidoo, MPhil (Ghana)                                                                

Moderators: Arjit Baghwala and Sarah Ashmeg

Wednesday, 9 September 2026, at 09:00 EDT / 13:00 UTC / 15:00 CEST

Please Register:

https://us06web.zoom.us/webinar/register/WN_iiK6c5BoRe-OlzFqqYnQ0w

Alhassan Mohammed Baidoo is a Clinical Medical Physicist at the Sweden Ghana Medical Centre (SGMC), Accra, where he supports the delivery of advanced cancer care through clinical dosimetry, quality assurance, radiation protection, and the integration of innovative technologies across the Directorates of Oncology, Radiopharmaceutical Production, and Nuclear Medicine. Committed to developing the next generation of medical physicists, he serves as a Clinical Tutor in the Department of Medical Physics at the University of Ghana, where he mentors postgraduate students in clinical practice and research, while contributing to the training of residents, interns, and early-career medical physicists. He also serves as an IAEA Clinical Supervisor for training Fellows from LMICs in radiotherapy and nuclear medicine at SGMC. He is a Clinical Facilitator for the University of Pennsylvania partnership program of the Global Medical Physics Graduate Clinical Training and Development Program (GMPTDP) in Ghana, and the Ghana Lead for the Access for Medical Physicists to Education and Research Excellence (AMPERE) of the AAPM. Mr. Baidoo holds an MPhil in Medical Physics from the University of Ghana, a Postgraduate Diploma in Education from the University of Cape Coast, a BSc in Physics from Kwame Nkrumah University of Science and Technology (KNUST), and a Certificate in Quantum Science and Technology from KNUST. He is currently a PhD candidate at the University of Ghana. His research interests lie at the intersection of artificial intelligence, quantum computing, and radiation oncology, with a vision of developing quantum-enhanced AI-based radiotherapy workflows to improve precision, efficiency, and accessibility of cancer treatment, particularly in low- and middle-income countries.