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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. Biomarker discovery is becoming a vibrant area for exploiting the power of AI and ML.

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How digital innovation is helping therapeutics to get to market faster

Drug Discovery World

Sanofi has stated that it intends to become the first pharma company “powered by AI at scale”, and as part of this ambition, agreed a collaboration with BioMap to co-develop advanced AI models and protein Large Language Models that that it hopes will enable biologics design and multiparametric optimisation 2.

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Researchers discover genetic cause of neurodevelopment disorders

Drug Discovery World

Most NDDs are thought to be genetic and caused by changes to DNA, however, to date, around 60% of individuals with these conditions do not know the specific DNA change that causes their disorder. This discovery was initially made using data from the 100,000 Genomes Project, a study led by Genomics England and NHS England.

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Can artificial intelligence help craft new medicines?

Drug Discovery World

The drug target for Penicillin is a protein that helps bacteria to synthesise its cell wall. One of the first and most basic requirements for a protein to be characterised as a drug target is to show that inhibiting its function prevents the disease. Big data handling and machine learning made progress by leaps.

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The challenges and trends of cell & gene therapies 

Drug Discovery World

The use of big data and AL to direct the best patient candidates for CGT and to provide the best understanding of efficacy and benefits.” – ? Research into genomic medicines is only at its infancy. Chris Nowers, CEO, ONK Therapeutics. . “