Ahead of the 5th Annual Data Analytics for Pharma Development Forum 2019, taking place on 12-14 November in Munich, we conducted an industry wide survey.
In this infographic you will learn about the biggest challenges that are facing those using data analytics in their drug development, the strengths of using AI & Machine Learning, how the use of Real World Data can be improved and where the future lies in data analytics in pharma development with many more insights.
Download below to view the full infographic
Ahead of the 5th Annual Data Analytics for Pharma Development Forum (Munich, 12-14thNovember 2019), we asked Nigel Hughes, Scientific Director at Janssen, to have a chat with us about the role of data analytics in the pharmaceutical industry and the impact AI & Machine Learning, RWD/RWE, GDPR and clinical trials are having on drug development.
Data usage could lead to accelerated drug discovery, better help patients and predict emergency rush hours. To keep reading, download the PDF file.
Artificial Intelligence, Machine Learning and other technologies are expected to make the discovery and development of new pharmaceuticals quicker, cheaper and more effective. Download this article to hear experts insights from Leonardo Rodrigues, Senior Director, AI & Machine Learning at BERG Heath about how these tools will revolutionise drug development over the next decade and what the future of a drug discovery market looks like when driven by AI.
While most industries are already benefiting from better use of dataanalytics, Pharma has been slow to innovate their business mode and adopt new technologies. Pharma R&D is stalling, there is a cap onproductivity and companies need to leverage data insights to move forwards. With insights from Larry Pickett, CEO, RxDataScience, this infographic provides a step-by-step guide to overcoming the key challenges faced in establishing and implementing a coherent data analytics strategy.
With large scale initiatives coming into practice, such as the European Medical Information Framework (EMIF), Hughes shares his top tips for implementing a project like this. Read this interview to find out the key opportunities and threats of utilising real world data and how the rise of personalised/ precision medicine will impact the use of data.
The project in question is focused on exploiting genome sequencing efforts to discover new targets for cancer treatment. A huge opportunity for positive change. Download the Case Study to find out more.