AI Healthcare: Predictive Analytics for Disease Prevention

Thursday 17th Jul 2025 @ BST 10:00 - 11:00

Zoom | UK

Dive into how AI is revolutionising disease prevention through predictive analytics, early detection, and data-driven strategies.

Register

About the event

Explore how AI is revolutionising disease prevention through predictive analytics and data-driven strategies. This session examines how cutting-edge AI technologies are enabling early detection, risk assessment, and proactive healthcare interventions.

Join us to uncover how predictive analytics is transforming health outcomes by identifying potential risks and guiding prevention efforts. Gain insights into how AI is empowering healthcare professionals to make informed decisions that prioritise prevention over treatment.

We will discuss advancements in AI-powered risk stratification, patient monitoring, and data integration, highlighting their role in shaping the future of preventative healthcare. Join us to explore how AI is driving innovation in disease prevention and public health.

Join this session to:

  • Discover how AI is being used to predict and prevent diseases through advanced analytics and early detection.
  • Explore real-world applications of predictive analytics in healthcare, enabling personalised prevention strategies and improved outcomes.
  • Learn how AI technologies are enhancing patient monitoring and enabling proactive interventions to reduce disease risks.
  • Hear from leading AI researchers and healthcare professionals as they share insights into how predictive analytics is reshaping preventative care.

What is a DLF event

The Digital Leadership Forum is a membership community of innovative digital leaders from some of the world’s leading organisations including HSBC, GSK, BT, BDO, Pinsent Masons, Freshfields, G4S and many more

We run sessions for our members online and face-to-face on Digital Marketing; Analytics and Automation; Digital Customer Experience, Agility; Metaverse, ChatGPT and Generative AI; Data Ethics.