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.

Big Data 40

Big Data Medicine Marketing Clinical Trials 40

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. This knowledge enabled cell line engineering campaigns that boosted yield and stability across various production bottlenecks.

Big Data 40

Big Data Development Life Science Drugs 40

XTalks

APRIL 5, 2021

The minimum requirement to become a professional in the bioinformatics field includes having a bachelor’s and master’s degree in bioinformatics, computer engineering, computational biology, computer science, or related field. Bioinformatics Engineer. How to Become a Bioinformatics Engineer. Job Description.

Bioinformatics 59

Bioinformatics Engineer Scientist Genome 59

Drug Discovery World

FEBRUARY 6, 2024

Researchers from the University of Oslo, University of Chicago Pritzker School of Medicine, and Insilico Medicine used an AI target discovery engine to analyse transcriptomic data to identify dual targets for cancer and ageing 5.

Marketing 69

Marketing Medicine Genome Genomics 69

Drug Discovery World

SEPTEMBER 6, 2022

The mysteries of cancer are starting to yield to the range of advanced therapies available and cell therapies – especially engineered cell therapies – are at the leading edge of that progress.” – Carlo Russo, CEO of Genenta.? . “In Chris Nowers, CEO, ONK Therapeutics. . “

Gene Therapy 52

Gene Therapy Gene Manufacturing Medicine 52

Drug Discovery World

MAY 4, 2023

Recombinant DNA technology and improved protein purification techniques further contributed to our understanding and explorations of drug targets. Big data handling and machine learning made progress by leaps. For instance, most successful drug targets were proteases and G-protein coupled receptors with definite characteristics.

Medicine 52

Medicine Protein Drugs Bioassay 52