Remove Big Data Remove Clinical Trials Remove Genetics Remove Genome
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Recognizing the Real People Behind the Big Data and Artificial Intelligence in Clinical Research

ACRP blog

If you hadn’t already noticed, the clinical research enterprise has well and truly entered the era of “big data,” artificial intelligence (AI), and machine learning. Undoubtedly, the expectations for precision medicine are high,” Olsen adds.

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UK research partners team up to accelerate MND drug discovery

Drug Discovery World

million to fund a new two-year collaborative partnership with King’s College London (KCL) to validate a portfolio of human genetic driven therapeutic targets for motor neuron disease (MND). Historical pipeline data suggests that drug targets with human genetic disease association are twice as likely to lead to approved drugs.

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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 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. It also bodes well for improving clinical trial success rates. A notable issue with clinical trials is the homogeneity of the patient database.

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How digital innovation is helping therapeutics to get to market faster

Drug Discovery World

As AI-designed drugs start to enter large-scale clinical trials, DDW’s Diana Spencer investigates how new digital tools are reinventing and reshaping drug discovery for the future. Automation is also being applied to genomics sample preparation, an area that requires particular robustness and scalability.

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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.

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A history of AstraZeneca

pharmaphorum

Over 85,000 patients in 62 countries were evaluated in clinical trials of Nexium and close to 746 million patient treatments were administered by the end of 2007. TransCelerate BioPharma is the largest initiative of its kind and has end goals of improving the quality of clinical trials and bringing new medicines to patients faster.