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. One system that has been especially useful in generating relevant and accurate biological data is the patient- derived xenograft (PDX) model for cancer studies.

Big Data 40

Big Data Development Life Science Drugs 40

Drug Discovery World

SEPTEMBER 6, 2022

DDW Editor Reece Armstrong looks at the cell and gene therapy landscape, examining the challenges facing developers and the trends we can expect to see throughout the year. . There’s no doubt that cell and gene therapies present some of the most exciting opportunities for emerging drugs. million price point per dose.

Gene Therapy 52

Gene Therapy Gene Manufacturing Medicine 52

Drug Discovery World

JULY 3, 2024

Then in the dry labs, which is headed up by a bioinformatician, we’re looking at big datasets – patient derived RNA seq data sets, for example – to see whether they can be mined to try and identify new potential targets. NM: I think probably it’s big data.

Research 59

Research Big Data Gene Drugs 59

Drug Discovery World

JULY 3, 2024

Then in the dry labs, which is headed up by a bioinformatician, we’re looking at big datasets – patient derived RNA seq data sets, for example – to see whether they can be mined to try and identify new potential targets. NM: I think probably it’s big data.

Big Data 52

Big Data Gene Nurses RNA 52

Drug Discovery World

JULY 17, 2024

A global collaboration led by scientists at the University of Oxford has discovered that genetic variants in a specific gene cause a rare neurodevelopmental disorder (NDD). The specific gene is called RNU4-2. This discovery was initially made using data from the 100,000 Genomes Project, a study led by Genomics England and NHS England.

Genetics 52

Genetics Genome Project Genome Genomics 52

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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Big Data RNA Bioinformatics Vaccination 52