Session
AI and bioinformatics in mass spectrometry

Program

• 10:15 – 10:40 20 Min. 5 Min.

  • Keynote lecture

  Integrating AI throughout a mass spectrometry-driven drug discovery approach

  • Lindsay Pino (Seattle, WA / US)
• 10:40 – 11:05 20 Min. 5 Min.

  • Keynote lecture

  Deep learning for peptide property prediction and beyond

  • Mathias Wilhelm (Munich / DE)

   Keynote Lecture
• 11:05 – 11:17 10 Min. 2 Min.

  • Oral presentation
  • OP-37

  End-to-end transfer learning in DIA proteomics for the characterization of unseen peptide modifications

  • Georg Wallmann (Planegg / DE)

   New Technology: AI and Bioinformatics in Mass Spectrometry
• 11:17 – 11:29 10 Min. 2 Min.

  • Oral presentation
  • OP-38

  Causal inference enables the estimation of outcomes of interventions from observational mass spectrometry (MS)-based proteomics experiments

  • Devon Kohler (Boston, MA / US)

   New Technology: AI and Bioinformatics in Mass Spectrometry
• 11:29 – 11:41 10 Min. 2 Min.

  • Oral presentation
  • OP-39

  Privacy-preserving multi-center differential protein abundance analysis with FedProt

  • Yuliya Burankova (Hamburg / DE)

   New Technology: AI and Bioinformatics in Mass Spectrometry