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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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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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Laboratory services poised for the digital revolution

Pharmaceutical Technology

The clinical trials landscape is evolving more rapidly than ever before. Meanwhile, decentralisation and the Big Data revolution are transforming the way researchers run clinical trials, and previously untapped geographies are emerging as new hubs for future research.

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The future of AI drug discovery & development in immunology and GPCR research

pharmaphorum

It was a time when “the potential for systematic understanding of complex biology was palpable”, a fascinating terrain wherein the “first bacterial genomes were being sequenced”, when microarray technology was in the early stages of being invented, and ‘genomics’ and ‘big data’ certainly weren’t on the tips of people’s tongues.

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5 Top Emerging Pharmacovigilance Startups Impacting The Industry

Cloudbyz

Clinical trials play a pivotal role in drug development. Time spent on clinical trials involves investment and being able to predict ADRs assists with improving the success rate. Clinical trials for different kinds of drugs often mandate differences in the patient pools. Embleema – Patient Advocacy.