Big Data Clinical Trials Gene Genomics 
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.
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.
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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. billion, compared to $19.9 Cancer is king .
Drug Discovery World
AUGUST 24, 2023
This is the latest episode of the free DDW narrated podcast, “What lies in the future for genomics and big data?”, ”, which covers two articles written for Volume 23, Issue 3 – Summer 2022 of DDW.
Drug Discovery World
DECEMBER 27, 2023
Ng is working on critical challenges in clinical trials, specifically in planning and recruitment, and has been building innovative solutions designed to benefit patients and researchers – with a focus on efficiency, transparency and diversity in clinical development. Listen here. Listen here.
Drug Discovery World
FEBRUARY 6, 2024
As AI-designed drugs start to enter large-scale clinical trials, DDW’s Diana Spencer investigates how new digital tools are reinventing and reshaping drug discovery for the future. Automation is also being applied to genomics sample preparation, an area that requires particular robustness and scalability.
Drug Discovery World
SEPTEMBER 5, 2022
Genome interpretation: To decipher genetic variants in cancer . Current problem: Genetic variants identified using genomic sequencing belong to coding regions of the genome, leaving out the majority of cancer-associated variants that lie in the non-coding areas outside exons, comprising over 98% of the genome.
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