About this event

  • Date and time Tue 3 Nov 2026 from 8:45am to 5:00pm
  • Location Royal Society of Medicine
  • Organised by Sleep Medicine

Join the Royal Society of Medicine (RSM) Sleep Medicine Section for this one-day meeting exploring the latest advances in sleep and circadian science. Bringing together leading clinicians, researchers and innovators in sleep medicine, neuroscience and digital health, the programme will examine how emerging technologies, artificial intelligence and novel therapies are transforming the diagnosis, monitoring and treatment of sleep disorders.

Sleep medicine is evolving rapidly. New technologies are changing how sleep and circadian rhythms are measured, while advances in data science are creating opportunities to analyse vast quantities of sleep data at unprecedented scale. At the same time, novel therapies are reshaping the treatment landscape for conditions such as narcolepsy and insomnia, offering new possibilities for improving patient outcomes. As healthcare systems increasingly harness electronic health records, wearable technologies and machine learning, clinicians need to understand how these developments can be translated into meaningful improvements in patient care.

This meeting will provide practical insights into the future of sleep medicine, from artificial intelligence-assisted sleep scoring and big data analytics to wearable sleep technologies and emerging pharmacological treatments. Through expert-led presentations and panel discussions, delegates will explore how emerging science is moving from the laboratory to the bedside.

Why attend?

  • Hear from leading experts including Professor Bing Zhai, Professor Luca Franca and Dr Paul Reading
  • Explore how artificial intelligence and large language models are being used to analyse sleep data and support sleep laboratories
  • Gain updates on emerging therapies for narcolepsy, insomnia and other sleep disorders
  • Examine the role of wearable technologies in measuring sleep, circadian rhythms and health outcomes
  • Learn how large-scale clinical datasets and electronic health records are shaping the future of sleep medicine
  • Put your questions directly to experts during dedicated panel discussions throughout the day

Aims of the event

  • Provide an update on the latest advances in sleep and circadian rhythm research
  • Explore the role of emerging digital technologies, artificial intelligence and big data in sleep medicine
  • Support healthcare professionals in applying new evidence and technologies to the assessment and management of sleep disorders

Learning outcomes
By attending this meeting, participants will be able to:

  • Describe current and emerging approaches to measuring sleep and circadian rhythms
  • Evaluate how artificial intelligence and large language models can be applied to the analysis of sleep datasets
  • Evaluate the role of novel drug and behavioural therapies in the management of sleep disorders

Who should attend?
This meeting is suitable for:

  • Sleep medicine specialists and clinicians with an interest in sleep disorders
  • Neurologists, respiratory physicians, psychiatrists and psychologists involved in the diagnosis and management of sleep conditions
  • Consultants, GPs, SAS doctors and resident doctors interested in sleep and circadian medicine
  • Allied health professionals involved in sleep care and behavioural sleep interventions
  • Researchers working in sleep science, circadian biology, neuroscience and digital health
  • Healthcare professionals interested in artificial intelligence, wearable technologies and data-driven approaches to sleep medicine
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Tickets

Early Bird pricing available until 21 September 2026.

Member

RSM Student RSM Retired Fellow RSM Resident Doctor RSM Member RSM Associate RSM Fellow
£0.00 £0.00 £0.00 £0.00 £0.00 £0.00

Non - Member

Consultant / GP / SAS Doctors Resident Doctor Other HCPs Student
£141.00 £84.00 £84.00 £44.00

Agenda

View the programme

Morning session

CHAIR: Dr Siriam Iyer, Consultant Respiratory Physician and Sleep Medicine Specialist, Sheffield Teaching Hospitals, President, Sleep Medicine Section, Royal Society of Medicine

Registration, tea and coffee
Welcome and introduction
Novel AI methods for sleep scoring – computers dream of electric sleep

Professor Bing Zhai, Assistant Professor, Computer Science, Northumbria University 

Heart rate variability (HRV) and sleep staging

Marco Altini, HRV4Training  

Panel discussion
Tea and coffee break
Novel drugs for narcolepsy and insomnia – a drug revolution for sleep?

Dr Paul Reading, Consultant Neurologist JCUH, Middlesbrough 

Panel discussion
Lunch

Afternoon session

CHAIR: Dr Kirstie Anderson, Consultant Neurologist and Past President, Sleep Medicine Section Royal Society of Medicine 

Sleep clinical data platforms: How to maximise usage and outcomes

Michael Hendry, Founder and Director, The Blueprint Design Company Limited  

Gadgets in the bedroom – the good the bad and the unwearable

Professor Lucas Franca, Assistant Professor in Computer and Information Sciences, Northumbria University 

Panel discussion
Tea and coffee break
The future of big data for sleep, how to use the electronic records

Dr Mustafa Jaafar, Artificial Intelligence PhD Research Fellow, Medical Doctor, ENT Surgery Specialty Registrar/Resident, University College London  

Panel discussion
Close of meeting

Location

Royal Society of Medicine, 1 Wimpole St, Marylebone, London, W1G 0AE, United Kingdom

Registration will close on 2 February 2026 at 1:00am (GMT). Late registrations will not be accepted.

The agenda is subject to change at any time

If the event is recorded, we are only able to share presentations that we have received permission to share. There is no guarantee that all sessions will be available after the event, this is at the presenter’s and RSM’s discretion.

All views expressed at this event are of the speakers themselves and not of the Royal Society of Medicine, nor the speaker's organisations.

This event will be recorded and stored by the Royal Society of Medicine and may be distributed in future on various internet channels.