Pharma Marketing Network
MAY 15, 2023
Big data has become an increasingly important tool for businesses across various industries, and the pharmaceutical industry is no exception. However, the use of big data in pharmaceutical marketing also poses significant challenges that must be considered. References 1. 8 (2018) 2. 1 (2016) 3.
Pharma Marketing Network
MARCH 23, 2023
Big data has become an increasingly important tool for businesses across various industries, and the pharmaceutical industry is no exception. However, the use of big data in pharmaceutical marketing also poses significant challenges that must be considered. References 1. 8 (2018) 2. 1 (2016) 3.
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Drug Discovery World
JULY 11, 2023
While the potential for better insights has grown, acquiring powerful tools that can harness that data, and turn it into useful, actionable information, has increasingly become one of the most important aspects of life science research. Advances in quantum computing are also showing early promise for increasingly complex data analyses.
ACRP blog
APRIL 5, 2023
Through these collaborations, advanced technologies tied to AI and big data are being employed to develop personalized and targeted medicines, ultimately leading to more effective treatments for diseases like cancer and immune deficiencies,” Lyons notes.
pharmaphorum
JULY 14, 2022
A pilot study has been launched by the EMA to see whether it is helpful for regulators to look at the ‘raw data’ from clinical trials submitted in support of new marketing application along with the usual structured analyses from sponsors. It may also help the regulator to define target treatment populations better.
pharmaphorum
JANUARY 24, 2022
AI in drug discovery is becoming an integral part of the research and development area of treating diseases with more companies incorporating ‘Big Data’ and data scientists within their R&D teams. Engage with regulators about the guidance within machine learning and AI in Drug Discovery. Who Should Attend?
XTalks
AUGUST 21, 2020
Michel Nielen, professor of food safety at Wageningen University & Research, in the Netherlands wanted to create a fundamental change in the world of food monitoring, so he and his team coordinated the FoodSmartphone project which is developing ways to detect food quality and safety using smartphones. Predicting Fraud. Traceability.
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