Home  | News

14.05.2025

Teaser image to Industry Pitch Talks Recap

Industry Pitch Talks Recap

Visit to Daiichi Sankyo

We visited Daiichi Sankyo at their Munich Office and learned a lot about their great work in Pharma and AI/ML.

After a warm welcome by Felix Just and Roger Garriga, we presented work from

  • Simon Schallmoser on “Individualized Treatment Effects versus Ticagrelor in Acute Coronary Syndrome”
  • Shanshan Bai on “Generating Synthetic Oracle Datasets to Analyze Noise Impact: A Study on Building Function Classification Using Tweets”
  • Fiona Ewald on “A Guide to Feature Importance Methods for Scientific Inference”

Thanks again Felix and Roger, we are very much looking forward to more collaborations between #MCML and Daiichi Sankyo.

#event #research
Subscribe to RSS News feed

Related

Link to Cosmology: Measuring the expansion of the Universe with cosmic fireworks

24.02.2026

Cosmology: Measuring the Expansion of the Universe With Cosmic Fireworks

Daniel Gruen leads LMU’s campaign on rare SN Winny to refine the Hubble constant and address the Hubble tension in cosmology.

Read more
Link to MCML Stammtisch - Recap

20.02.2026

MCML Stammtisch - Recap

The MCML-Stammtisch was a great opportunity to connect our members across disciplines and enjoy some relaxed conversations outside the labs

Read more
Link to COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious

19.02.2026

COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious

Presented at CVPR 2025, COSMOS shows how smarter training helps VLMs learn from details and context, improving AI understanding without larger models.

Read more
Link to Daniel Rückert and Fabian Theis Awarded Google.org AI for Science Grant

05.02.2026

Daniel Rückert and Fabian Theis Awarded Google.org AI for Science Grant

Daniel Rueckert and Fabian Theis receive Google.org AI funding to develop multiscale AI models for biomedical disease simulation.

Read more
Link to Needle in a Haystack: Finding Exact Moments in Long Videos

05.02.2026

Needle in a Haystack: Finding Exact Moments in Long Videos

ECCV 2024 research introduces RGNet, an AI model that finds exact moments in long videos using unified retrieval and grounding.

Read more
Back to Top