Smart Medical IoT for Remote Patient Monitoring: From Biosensors to AI Healthcare
Online event
About
Advances in the Internet of Things (IoT), implantable/ wearable biosensors, and artificial intelligence are transforming the way healthcare is delivered beyond traditional clinical settings. This webinar explores how smart medical IoT technologies enable continuous remote patient monitoring, improve early disease detection, and support data-driven clinical decision-making.
Join us to discover the latest innovations, real-world applications, and future opportunities shaping the next generation of connected healthcare.
1
Continuing Professional Development
This event can contribute towards your Continuing Professional Development (CPD) hours as part of the IET's CPD monitoring scheme.
17 Nov 2026
10:00am - 11:00am
Want to attend this event?
You'll need to log in to book your place or to check your booking. Not an IET member? Sign up to register for a non-member account.
Organiser
- Internet of Things TN
Speakers
Dr Adnan Elahi
Lecturer in Medical Electronics and Co-director of the Translational Medical Device Lab - University of Galway
Dr Adnan Elahi is a lecturer in Medical Electronics and Co-director of the Translational Medical Device Lab at the University of Galway. He holds a PhD in Electronic Engineering and M.Sc. in Data Analytics from the University of Galway, an M.Sc. in Embedded Digital Systems from the University of Sussex, United Kingdom and a BS in Computer Engineering from COMSATS University, Pakistan. His PhD research was focused on the investigation and development of novel signal processing algorithms to improve microwave imaging of the breast. His current research spans the disciplines of engineering and medicine, with a particular focus on smart devices biosensors for remote patient monitoring; novel and personalised therapeutics using RFMicrowave and Pulsed-Field Ablation; and AImachine learning for biomedical signals.He has previously worked as a lecturer (2007-2012) at COMSATS University, Pakistan; and as a Research Associate at Computer Vision Research Group (COMVIS), Lahore, Pakistan.