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How big data analytics can make personalised care a reality

Drug Discovery World

Johannes Goll, Global Head of Emmes’ Biomedical Data Science and Bioinformatics department, explains how big data analytics can deliver improved therapies and bring clinical research one step close to realising the potential of personalised care. He holds an MS degree in Statistics and a BS-equivalent in Bioengineering.

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Big data – charting a new path to drug discovery and development

Drug Discovery World

Drug discovery and development timelines can span 10-15 years or more from initial discovery to market approval and typically require the analysis of massive amounts of data. Nonetheless, AI and ML are expected to play a more significant role in bioprocessing as plants are updated.

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Digitalising drug discovery

pharmaphorum

As data and digital technology become vital to every aspect of life sciences, the industry is increasingly looking beyond biologists, chemists, and doctors to drive its drug development – and finding that technology has a chief role to play in the future of medicine. on Big data: astronomical or genomical? ,

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The future of AI drug discovery & development in immunology and GPCR research

pharmaphorum

Essentially, the collaboration brought together both “the right expertise and the right technology”, opening up myriad possibilities for targeting GPCRs within the human genome. Kim recognised then, he said, that better tools for medicine needed to be developed, and that they still do. What, then, is the solution?