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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. This could be expanded to assessing predictors at baseline.

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The DDW Podcast: 2023 in review

Drug Discovery World

Dr. Samulski’s graduate work demonstrated the first substrate for adeno-associated viruses (AAV) as a viral vector and culminated in the first US patent involving non-AAV genes inserted into AAV. A deep dive into US drug discovery What lies in the future for genomics and big data?

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Genmab’s Silver Anniversary: Reflecting on 25 Years of Breakthroughs in Antibody Therapeutics

XTalks

First, the integration of AI, big data and high-performance computing has the potential to not only expedite the drug discovery process, but also could contribute to better understanding of diseases at the molecular level. Tahi Ahmadi: Two key areas where we anticipate breakthroughs are technological advancements and new modalities.

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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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Integrated evidence generation 2.0: A strategy for every stakeholder

pharmaphorum

These groundbreaking discoveries ushered in a new age of precision and personalized medicine, leading to innovations in novel targeted proteins, cell and gene therapies, and medical devices, which are often accompanied by bespoke diagnostic and testing criteria.