Bio
Hassan Sami Adnan is a healthcare researcher working with the WHO at the Medical Faculty of Maastricht University, on a project related to the SDG 3. With his background in healthcare and IT, his area of research interests are Electronic Health Records and its regulatory aspects; Biobanking, Medical Ethics, Patient Data Privacy, and the application of artificial intelligence in “big data” for healthcare research/systems. Sami has researched on 3D printing for personalised medicine, and recently developed the Healthcare Differential Privacy Framework to make privacy-preserving data sharing viable for medical research and machine learning.
My Talks
ML Algorithm to Detect Rare Clinical Events
Deep metric learning has emerged as a superior method for representation learning and can be utilized in medicine. For extreme classification problems traditional methods fail. Triplet network lear...
Simulation Model for 3D-printed Drug Development
Personalised 3D-printed oral drug formulations can add value to patient demands where the release of the drug can be controlled and optimised to the patient’s health needs. This simulation model us...