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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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Integrated evidence generation 2.0: A strategy for every stakeholder

pharmaphorum

The advent of biologic therapies in the 1970s along with the decoding of the human genome in 2003 heralded an explosion in pharmaceutical innovation. Additionally, new forms of data, such as real‑world evidence (RWE), are becoming more readily accepted for demonstrating the long‑term value of novel medicines.

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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. Kim recognised then, he said, that better tools for medicine needed to be developed, and that they still do. What, then, is the solution?

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Digitalising drug discovery

pharmaphorum

As data and digital technology become vital to every aspect of life sciences, the industry is increasingly looking beyond biologists, chemists, and doctors to drive its drug development – and finding that technology has a chief role to play in the future of medicine. on Big data: astronomical or genomical? ,

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Takeda, Daiichi-backed wearable study planned in Japan

pharmaphorum

The results generated in the study will be combined with data from Tohoku’s Medical Megabank Project (TMM), a wide-ranging national project that is tracking the health of the Japanese population, originally set up in response to the 2011 earthquake and tsunami.

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Medical Informatics: a bridge between two worlds

pharmaphorum

Thus, she belongs to the Center for Medical Informatics at the University Medicine Dresden. Her research area is the secondary use of observational data of patients with rare and unclear diseases; with attention to the research data infrastructure and terminologies.

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Medical Informatics and Rare Disease: a bridge between two worlds

pharmaphorum

And this is where modern technologies and data-driven medical informatics can really bridge the gaps in rare disease research,” said Dr Joanne Hackett, head of Genomic and Precision Medicine at IQVIA, during a recent pharmaphorum webinar. Thus, she belongs to the Center for Medical Informatics at the University Medicine Dresden.

Genomics 105