By PAUL VON BÜNAU Fully digitised, AI-directed, in-silico drug discovery and development programs are not…
Slowly but surely, biology is becoming computable at a relevant scale. And every little step brings us closer to overcoming life’s biggest challenges.
Correcting confounding biases in genome-wide association studies
By BENJAMIN HÄUSLER and RAPHAEL SCHYMCZYK Linkage disequilibrium score regression is already being put to…
Double strength: how can we better predict effective, as-yet untried, drug combinations?
By MONA SCHIRMER Some things just work better with two – but when it comes…
Drug development: how predictive algorithms could save big pharma billions
By PAUL VON BÜNAU Immense development costs and low success rates can make drug development…
AlphaFold: from accuracy to application?
By PAUL VON BÜNAU DeepMind AI’s impressive protein structure prediction accuracy hints at a huge…
Data Science for Pharma – A Short Case Study
By BENJAMIN HÄUSLER Open data in biomedicine is a gold mine that can strengthen innovation…
Structuring, connecting and discovering knowledge: Our biotech NLP platform helps to identify therapeutic targets from millions of scientific papers
By PAUL VON BÜNAU In biomedicine, much of the information generated is made publicly available…
Choice Modelling in the Medical Context
By BENJAMIN HÄUSLER A new medicine is granted market approval if clinical trials can show…
Navigating the Biomedical Data Landscape
By PAUL VON BÜNAU Data science projects are successful when they produce actionable results over…
Connecting Data across Biomedical Databases
By LUIS DREISBACH Open data in biomedicine provides a wealth of information scattered across a…
The Power of Open Data for Pharmaceutical R&D
By LUIS DREISBACH Biomedicine is a central driving force of the rise of big data.…
Connected OR: Interview with Gerd Schneider and Raluca Pahontu
By JULIAN BEIMES Hospitals, emergency and operating rooms are crucial components of our healthcare infrastructure.…
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