We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
He explains why he chose antibodies and not MS as a tool to study proteins and how one of his flagship projects, the Human Protein Atlas, nearly ended up in Oxford instead of Stockholm back in 2003. Having worked with more than 20 start-ups he also reflects on what can be important to have in mind before entering the biotech industry and describes some of the start-ups he is most proud of.
The technical progress and cost development over time within proteomics and genomics is also discussed and how this has led to that today's reality, when it comes to e.g. blood sample analysis, exceeds what was just a dream 10 years ago. Some thoughts on machine learning and its use in recent precision medicine studies and role in future science are also brought up.