SRH University

Biodatathon: Boosting pharmaceutical research with AI and data science

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written by Swati Chandna

Here’s what it’s all about:

  • Practical project provides valuable insights into modern pharmaceutical research
  • Students develop innovative solutions to biomedical challenges
  • Partnership with Biomed X and Neuron Solutions bridges the gap between research and practice

 

In collaboration with Neuron Solutions and the Biomed X Institute, the “Biodatathon” took place at the SRH University Campus Heidelberg under the leadership of Prof. Dr Swati Chandna, Programme Director of the Master’s programme in Applied Data Science and Artificial Intelligence. This exciting hackathon brought together experienced participants to tackle challenging tasks in pharmaceutical research using the latest AI and data science techniques.

Drug development is a monumental task. On average, it takes 14 years to develop a new drug, with the failure rate estimated at 90%. These figures highlight the immense complexity, time and resources required for successful pharmaceutical innovation.

The aim of the Biodatathon

The Biodatathon was designed to explore how state-of-the-art AI solutions can be used in drug development. Specifically, the aim was

  • achieving top performance in question-and-answer benchmarks on biomedical knowledge graphs,
  • to gain an understanding of how multimodal embeddings can improve answer retrieval,
  • demonstrating the potential of integrating these advances into an AI agent framework with tool access and a chatbot UI front-end to boost productivity when working with biomedical knowledge graphs.

Results: Science meets innovation

Three talented teams took part in the hackathon, each presenting innovative and practical ideas. The work included multimodal embeddings for drugs and proteins, the enrichment of nodes lacking features to improve insights, and the extraction of subgraphs alongside an agent-based workflow for the enrichment, embedding and re-classification of response candidates. 

Their solutions demonstrated genuine scientific value and, in keeping with the collaborative spirit of the event, the work was published as open source. These results highlight the power of collective effort and the potential of AI to transform drug discovery processes.

 

Using data. Shaping the future.

Are you passionate about computer science, artificial intelligence or data-driven innovation? SRH University offers a wide range of degree programmes in computer science, data science and artificial intelligence that closely combine theory and practice. Work on real-world projects, develop digital solutions to current challenges and gain the skills needed for sought-after careers in business, research and technology.

A man is sitting at a desk, working on two laptops and a large monitor. The screens display programming code and data analyses. The room features large windows and a modern decor.

Strong cooperation

As the host of the event, SRH University welcomed two partner organisations to its vibrant academic setting, both of which supported the hackathon with their expertise:

  • The Biomed X Institute devised the challenging task, which encouraged participants to push the boundaries of AI in drug research. Douglas McCloskey, who leads the development of a Next Generation Virtual Patient Engine (VPE) for the clinical implementation of drug candidates, bioinformatician Gurdeep Singh, and other colleagues from the team were actively involved.
  • Alongside experts from the other organisers, Neuron Solutions provided mentors who guided the teams towards effective solutions and supported SRH University with general organisational tasks. Two of the co-founders, Lev Szabados and Otto Werschitz, were present at the event in person.

 

Author

Portrait photo of Swati Chandna

Prof. Dr.-Ing. Swati Chandna

Professor of Data Science and Artificial Intelligence, Program Director of Applied Data Science and Analytics (National), Department of Information, Academic Representative of Internationalization

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