According to the World Health Organization, the proportion of the world’s population over 60 years will reach 22% by 2050 (nearly double compared to 12% in 2015). Therefore, the research on approaches that improve both the efficiency of healthcare and the quality of life of older people has a paramount significance for individuals, their families and communities, global economy and national health systems alike. From early-stage diagnostic tools, new drug discovery to prescriptive, individually-targeted bespoke lifestyle regimes, AI has already shown a tremendous potential in affecting the ageing process for many people. During this webinar, we will showcase these AI innovations and discuss future opportunities in their applications for healthy ageing.
This open-to-public event will provide a general and non-technical overview of AI methods, their implementations and practical applications of machine learning and AI approaches in healthcare – specifically in projects aimed at improving quality of life for older people.
The webinar will be run and moderated by Simon Walkowiak – director at Mind Project Limited and a Ph.D. researcher in Artificial Intelligence at the Bartlett Centre for Advanced Spatial Analysis (University College London) and the Alan Turing Institute in London.
Resources and further reading
This section lists selected online resources and references to further reading which are relevant to the topic of this webinar:
- WHO’s work on the UN Decade of Healthy Ageing (2021-2030) – a website with resources curated by the World Health Organization on the UN Decade of Healthy Ageing (2021-2030) programme.
- Unlocking the potential of AI in drug discovery | Reports | Wellcome – an excellent report on AI in drug discovery by Wellcome Trust, 2023.
- (Academic article; Open Access) Towards AI-driven longevity research: An overview. – Marino, N. et al. (2023). Towards AI driven longevity research: an overview. Frontiers in Ageing, 4 – 2023.
- (Academic article; Open Access) Evaluation of artificial intelligence techniques in disease diagnosis and prediction. – Nia, N. G., Kaplanoglu, E., & Nasab, A. (2023). Evaluation of artificial intelligence techniques in disease diagnosis and prediction. Discover Artificial Intelligence, 3(5).
- (Academic article; Open Access) Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda. – Kumar, Y., Koul, A., Singla, R., & Ijaz, M. F. (2022). Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda. Journal of Ambient Intelligence and Humanized Computing, 14, pp. 8459–8486.
- (Academic article; Open Access) AI revolution in healthcare and medicine and the (re-)emergence of inequalities and disadvantages for ageing population. – Stypinska, J., & Franke, A. (2022). AI revolution in healthcare and medicine and the (re-)emergence of inequalities and disadvantages for ageing population. Frontiers in Sociology, 7 – 2022.
- (Academic article; Open Access) Discovery of senolytics using machine learning. – Smer-Barreto, V. et al. (2023). Discovery of senolytics using machine learning. Nature Communications, 14(3445)
- (Academic article; Open Access) Artificial intelligence in drug discovery and development. – Debleena, P. et al. (2021). Artificial intelligence in drug discovery and development. Drug Discovery Today, 26(1), pp. 80-93.
- “AI Chatbots Can Diagnose Medical Conditions at Home. How Good Are They?” – an overview article in the Scientific American, published on 31st of March 2023.
Who is this webinar for?
This webinar is a short 1-hour online event which is recommended to those who are interested in learning about recent AI innovations and methods that are applied to the growing field of healthy ageing, and especially, the recent advances in the AI research on longevity, drug discovery and early disease diagnosis. The event will also be of interest to those who wish to learn about new data science, technology and AI developments, and those who explore the overlapping areas and intersections of AI, biomedical sciences, public health and social sciences.
This event is part of the “AI-Friendly” series of live webinars open to the general public and organised by Mind Project Ltd. The webinar is completely free-of-charge to attend, however the prior registration is required. Once registered for the event, you will receive an email with Joining Instructions. You can register more than 1 person on this webinar – each registered attendee will receive a separate email explaining how to join the event. Our open-to-public webinars are run via the Microsoft Teams application.
The webinar will run for approximately 1 hour. It will be run live and moderated by Mind Project employees, however other external guests might be invited to take part in a panel session or as interviewees. As an attendee, you may ask questions, discuss the topic and interact with other participants of this webinar. You can also message us during and after the webinar by using the Chat functionality within Microsoft Teams application.
This webinar will be recorded, but access to the recording will be restricted to registered attendees only. As the webinar will be recorded, you will enter the meeting with your camera and microphone switched off to protect your privacy, however feel free to unmute yourself and turn the camera on when you ask questions or participate in the discussion.
Webinar date: Monday, 16th of October 2023, 15:30 – 16:30 (London, UK time)
Deadline for registrations: Monday, 16th of October 2023, 15:00 (London, UK time)