Data is also at the heart of synergies between pharma and diagnostics, an important topic for Roche. Which synergies are already being used today, and how do you think they will be used in the future?
Roche is here for every step of the health journey: prevention, diagnosis, treatment, and hopefully cure. This makes us unique in the pharma space. We cover therapeutic areas from the earliest diagnosis or prevention, through to treatment, therapies and follow-up. We apply this end-to-end approach in several therapeutic areas, including oncology, cardiovascular and metabolic disease as well as neurology.
AI naturally plays a huge role here – for example in neurology, where I think we’ll learn a great deal in the coming years about degenerative diseases of the brain, such as Alzheimer’s. I think AI will help us enormously as a tool in the laboratory and then through diagnostics, data processing and along the patient pathway during therapy. At the end of the day, it’s people we treat – AI alone will not solve everything. Interpretation and validation remain vital, and these steps are carried out by teams of enthusiastic, optimistic and energetic researchers.
How can we ensure that AI is used to its full potential, but also that patient data is handled securely?
There is still some way to go when it comes to digitalizing data in Switzerland. There have been some pilots, but as a country we’re behind many locations that are already using AI in everyday practice. This is a major disadvantage for Switzerland, not just in terms of potential outcomes but because research goes where data is available.
Whether AI-driven or not, it is vital that data protection regulations and legal frameworks prevent the misuse of data. Personal information—and health data in particular—is a sensitive asset that must be handled with the utmost care. Companies like ours are well-equipped to meet this responsibility, drawing on a proven track record of managing data in clinical trials.