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. How AI and ML are influencing drug development Biopharma has experienced significant growth in using these technologies for the past 10 years.

Big Data 40

Big Data Development Life Science Drugs 40

Drug Discovery World

FEBRUARY 6, 2024

From finding potential active substances and identifying novel targets, to simulating how drugs will function in the human body and optimising laboratory workflows, digital technologies are having a significant impact on drug discovery and development.

Marketing 69

Marketing Medicine Genome Genomics 69

XTalks

APRIL 5, 2021

Since the conclusion of the project in 2003, bioinformatics tools have been used to identify genes and elucidate their function with the aim of developing gene-based strategies for disease prevention, diagnosis and treatment. This job furthers the field of biomedical research and supports drug development.

Bioinformatics 59

Bioinformatics Engineer Scientist Genome 59

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. . Thompson says that the development of Covid-19 vaccines, which used mRNA technology, resulted in wider acceptance for cell and gene therapies. . “On

Gene Therapy 52

Gene Therapy Gene Manufacturing Medicine 52

Drug Discovery World

MAY 4, 2023

The potential of drug targets Over the next 50 years, new targets emerged and drugs were developed against them. 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.

Medicine 52

Medicine Protein Drugs Bioassay 52