You are currently viewing Precision Medicine Playthrough: How R&D organizations become frontrunners

Precision Medicine Playthrough: How R&D organizations become frontrunners

Watch David on stage at Future Lab Live 2024

As many of you had questions in the end we also compiled a Q&A for this session:

We built a mRNA facility for research purposes, we transformed on R&D organisation to enable precision medicine, we introduced automated and digilized research service platforms ie. cell repository, compound management and others

Be bold and fight for your ideas. Life Science R&D still has hierarchical structures and mindsets and we need to break silos and change the culture to co-innovate more than ever.

A good data strategy can be characterized by being lean, extendable, and precise. Here are key elements to consider: Lean Approach: The strategy should be streamlined to avoid unnecessary complexity. This minimizes time spent on repeatedly reviewing governance concepts during experiments and ensures quick access to data, facilitating rapid decision-making and iteration. Extendibility: The strategy must be designed to scale and adapt as the experiment setup grows. This includes the ability to integrate new data sources and accommodate evolving business needs without overhauling existing systems. Precise Ontologies: Ontologies help in structuring and categorizing data, but they should be kept lean to avoid unnecessary complexity. This ensures they are useful and adaptable, aiding in data consistency and interoperability.

If you have any additional questions or inquiries from David or Inite as a whole please do not hesitate to contact us.


We will be releasing a whitepaper on the topic of Precision Medicine soon! Stay tuned for further updates.



Wish you the best rest of week!

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