Dr. Paul von Bünau is Managing Director of idalab, a Berlin-based agency for data science founded in 2003, specialising in machine learning, artificial intelligence, mathematical modeling and data strategy. idalab advises a wide range of clients from banking, mobility, biotech and the digital sector. A mathematician and computer scientist by training, Paul von Bünau holds a Ph.D. in statistical data analysis from TU Berlin.
Accelerating early stage drug development through rapid target discovery and triage using large scale text mining
HotSpot Therapeutics, one of the newest Atlas Venture/Sofinnova portfolio companies, creates medicines that mimic the way that nature regulates proteins. Multiple open data sources exist for validating human disease targets, but these data need to be triaged and prioritised based on clear upfront hypotheses. Together with idalab, HotSpot Therapeutics analysed ~20,000 human targets, mining information from 27 million scientific publications within a timeframe of 3-6 months. Off-the-shelf software solutions were poorly aligned with the needs of HotSpot’s unique approach. idalab developed a completely tailored solution using self-learning artificial intelligence (AI). A natural-language processing (NLP) algorithm enabled extensive text mining and thus the creation of proprietary data taxonomies for HotSpot, focused around the company’s vision. Additionally, integrating and linking datasets from various domains enabled hidden insights to be uncovered from the data.
- Regional Session II: Digital Health & MedTech on November 21, 2017 2:45 pm