article thumbnail

New podcast on the future for genomics and big data

Drug Discovery World

This is the latest episode of the free DDW narrated podcast, “What lies in the future for genomics and big data?”, They are called “ What’s the next step in big data and AI? ” and “ Why a recent advancement is a giant leap for human genomics ”.

article thumbnail

Recognizing the Real People Behind the Big Data and Artificial Intelligence in Clinical Research

ACRP blog

If you hadn’t already noticed, the clinical research enterprise has well and truly entered the era of “big data,” artificial intelligence (AI), and machine learning. Undoubtedly, the expectations for precision medicine are high,” Olsen adds.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Big data – charting a new path to drug discovery and development

Drug Discovery World

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. Nonetheless, AI and ML are expected to play a more significant role in bioprocessing as plants are updated.

article thumbnail

How big data analytics can make personalised care a reality

Drug Discovery World

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. He holds an MS degree in Statistics and a BS-equivalent in Bioengineering.

article thumbnail

Integrated evidence generation 2.0: A strategy for every stakeholder

pharmaphorum

The advent of biologic therapies in the 1970s along with the decoding of the human genome in 2003 heralded an explosion in pharmaceutical innovation. Additionally, new forms of data, such as real‑world evidence (RWE), are becoming more readily accepted for demonstrating the long‑term value of novel medicines.

article thumbnail

Digitalising drug discovery

pharmaphorum

As data and digital technology become vital to every aspect of life sciences, the industry is increasingly looking beyond biologists, chemists, and doctors to drive its drug development – and finding that technology has a chief role to play in the future of medicine. on Big data: astronomical or genomical? ,

article thumbnail

Can artificial intelligence help craft new medicines?

Drug Discovery World

Big data handling and machine learning made progress by leaps. Networks also allow us to integrate diverse types of biological pathways, literature, genomics, transcriptomics, proteomics and ligand-binding studies. The post Can artificial intelligence help craft new medicines?