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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. In another published report 2 , a biotech company needed to improve its centrifugation step during monoclonal antibody (mAb) harvesting.

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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. Figure 2: Advanced data visualisation examples for transcriptomics data.

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The challenges and trends of cell & gene therapies 

Drug Discovery World

And whilst clinical trials activity decreased by around 15% compared to 2020, last year still saw a number of regenerative medicines reach the bedside. 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.” – ?

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Top 30 Pharma and Biotech Companies in 2023: Statistics and Trends

XTalks

2) Darzalex (daratumumab) Darzalex is a targeted monoclonal antibody that slows or stops the progression of multiple myeloma (a blood cancer) by binding to the CD38 protein on multiple myeloma cells. The monoclonal antibody targets CD20, a protein found on the surface of B lymphocytes (B cells). billion in 2022, a 32.44

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