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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. It also includes search and support services that help patients understand, find, and enroll in clinical trials.”

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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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5 Top Emerging Pharmacovigilance Startups Impacting The Industry

Cloudbyz

With the help of artificial intelligence (AI) and individual genetic data, the software predicts the potential effects drugs have on specific genetic markers. Technologies such as big data and deep learning enable algorithms to understand and correlate patient-specific genetic markers to better assess potential participants.

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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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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. of the global trial landscape.