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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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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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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.

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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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The rise of real-world evidence: unlocking the potential in EHRs

pharmaphorum

International deep real-world evidence company Savana is on a mission to give health researchers the power to unlock the clinical value embedded within electronic health records (EHRs) using artificial intelligence (AI) and clinical Natural Language Processing (NLP) techniques.

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Syntegra Partnering with National Institutes of Health (NIH) and the Bill and Melinda Gates Foundation to Democratize Access to the Largest Set of COVID-19 Patient Records

The Pharma Data

Syntegra has also engaged with the Federal Drug Administration (FDA) to evaluate the role of synthetic data in regulatory decisions, for COVID-19 and beyond. With the COVID-19 pandemic, there has never been a time when rapid, low burden access to patient-level data, at scale, was more urgent” says Michael D. .