Roots Analysis

JANUARY 28, 2024

Big Data in healthcare refers to the vast amount of data that is continuously expanding and cannot be efficiently stored or processed using traditional tools. It accounts for the majority of big data in healthcare and comprises information, such as medical images, surveys, chats, and written narratives.

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Scienmag

MARCH 9, 2021

CHOP researchers find small changes in RNA due to RNA editing could have a large impact on gene expression and phenotype Philadelphia, March 9, 2021–Combining computational mining of big data with experimental testing in the lab, researchers at Children’s Hospital of Philadelphia (CHOP) have identified RNA editing events that influence (..)

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Drug Discovery World

JULY 11, 2023

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. The post Big data – charting a new path to drug discovery and development appeared first on Drug Discovery World (DDW).

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Drug Discovery World

FEBRUARY 6, 2023

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. Figure 2: Advanced data visualisation examples for transcriptomics data.

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Drug Discovery World

SEPTEMBER 6, 2022

The use of big data and AL to direct the best patient candidates for CGT and to provide the best understanding of efficacy and benefits.” – ? According to the ASGCT, the gene therapy pipeline increased 16% from Q1 2021 with 3,579 gene, cell, and RNA therapies in development from preclinical through pre-registration stages. .

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XTalks

AUGUST 2, 2023

2) Veklury (remdesivir) Veklury, approved by the FDA in 2020, is a SARS-CoV-2 nucleotide analog RNA polymerase inhibitor designed for the treatment of COVID-19. Last year, Novo Nordisk forged extensive global partnerships, which included teaming up with Microsoft to leverage AI and big data technology to expedite its research.

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