How to simultaneously coordinate scientific research and run a company creating algorithms and software supporting the development of athletes’ careers, all in between successive endurance rallies in the deserts?

The guest on the sixth episode of our podcast is closely connected with the application development industry but in a specific way. He earned a Ph.D. in exercise physiology at Karolinska University in Sweden in 2011, works as a researcher, and teaches at Stanford University. Plus, it’s been around for years, adventure ultra-endurance racer and he really knows a lot about the health tech and sports tech. We suspect he has other hidden superpowers, but in our podcast, he mainly talked about these areas above.

And more specifically:

What scientific conclusions that can transform i.a. mobile healthcare technology can be drawn from the most extreme experiences in endurance competitions?
What features and skills that help in sports can be used in scientific work, life sciences, and running tech companies?
How to start building a successful AI-enabled tech startup in California alongside tech giants?
What amount of data, and what sources, can be used in 2023 to provide personalized training support and insights?
How can personal ownership of health data facilitate the seamless transfer and integration of medical information across different entities within a healthcare system?
What challenges or obstacles may arise when implementing personal ownership of health data in a system with multiple entities?
How can personal health data ownership contribute to a healthcare industry’s valuable insights and improve business outcomes?

Meet C. Mikael Mattsson, Ph.D., CEO at SVExA (Silicon Valley Exercise Analytics), and hear about data scientists, technology professionals, health data security and privacy, science research, machine learning, endurance rallies, and many more in episode 6 of the podcast by Applover.

Let’s introduce our guest in more detail; he:

found a company focused on optimizing and personalizing individual and team training using AI systems and big volumes of data, in 2018 in Stockholm.
studied at Karolinska Medical University (Karolinska Instituet), where he received a doctorate in the physiology of physical exercise,
associated with Stanford University in California, where he participates in many research studies, including the ELITE study – an international collaboration aimed at discovering the genetic determinants of physical fitness in the most elite endurance athletes in the world.
participates in many adventure races, covering hundreds of kilometers in various disciplines. Enthusiast of spending time actively by cycling and running. He is preparing for more extended expeditions. He was, for example, in Greenland.

In many interviews, he pays much attention to data ownership and privacy. He said:

‘In the future, you, as an individual, must own all your data. You must be able to revoke access from someone, and you must be able to give access to someone. […]’
‘Personal ownership of health data is also important for the general population, and even more so in health systems that consist of different national, regional, and local entities. In Sweden, for example, the regions and counties are responsible for different parts of the health system. While the regions have all the medical data from the hospitals, the counties are responsible for things such as preventive and elderly care. Having personal health data attached to the individual is, therefore, the best solution […].’

In the age of artificial intelligence, these words become even more powerful. Data science, research and development, advanced analytics, AI, and machine learning are becoming increasingly valuable and help companies to create value for business models. It can also provide and accelerate providing insights, software development and increase competitive advantage. The challenge is how we handle and use them.

Did we help you achieve a higher level of curiosity? Listen to the entire episode on https://applover.com/podcast/