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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. One system that has been especially useful in generating relevant and accurate biological data is the patient- derived xenograft (PDX) model for cancer studies.

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The challenges and trends of cell & gene therapies 

Drug Discovery World

DDW Editor Reece Armstrong looks at the cell and gene therapy landscape, examining the challenges facing developers and the trends we can expect to see throughout the year. . There’s no doubt that cell and gene therapies present some of the most exciting opportunities for emerging drugs. million price point per dose.

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

XTalks

Johnson & Johnson’s Top 5 Best-Selling Drugs of 2022: 1) Stelara (ustekinumab) Stelara is an immunosuppressant biologic therapy that blocks the IL-12 and IL-23 proteins that play a role in plaque psoriasis and Crohn’s disease. Meanwhile, BioMarin’s gene therapy Roctavian is approved by the FDA for the treatment of hemophilia A.

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