Michael Schroeder

Professor Michael Schroeder leads the Schroeder Group at the Technical University of Dresden, focusing on machine learning algorithms to analyze protein structure and sequence data for disease diagnosis and treatment. The group's work includes PLIP (a molecular interaction analysis tool) and pharmAI GmbH (a spin-off company). Research highlights:

• Developing lead compounds to combat cancer drug resistance and autoimmune B-cell inactivation through in-silico structural screening.
• Machine learning for 90%+ accurate pancreatic cancer detection from blood samples, outperforming traditional markers.
• Genomic studies linking E. coli variations to antibiotic resistance.

The group is supported by European and German funding bodies, with alumni holding positions at institutions like EMBL-EBI, AbbVie, and Helmholtz Zentrum München. Current members include Predoc students and research assistants working on computational biology and AI-driven healthcare solutions.