Unlocking the potential of machine learning in health predictions | Webinar January 16

News
In the era of advancing digitisation of healthcare, machine learning-based predictions have become indispensable. Robust research shows the superiority of intelligent computers using machine learning over traditional methods of clinicians. This event offers a deep dive into the potential of these systems, with true stories, examples and discussions on their implementation.

This webinar will feature a presentation on intelligent computing that goes beyond conventional methods, with a specific emphasis on Predicting Health, an innovative startup led by Diether Kramer. With more than 15 years of experience in health data research, he serves as Lead Data Scientist at an Austrian healthcare provider and is CEO/co-founder at Predicting Health.

Predicting Health is at the forefront of the healthcare revolution, aiming to increase the impact of preventive healthcare through advanced prediction capabilities. Join us on 16 January to learn more about the benefits and challenges of these innovative models.

Event details

Date: January 16, 2024
Time: 4-5 pm
Location: Online

Register here to participate