Expanding sources of evidence for better signal detection – New podcast out now

Research / 23 February 2023

In this digital age, can pharmacovigilance experts leverage on new types of data to find evidence for signals? Listen to the latest Drug Safety Matters podcast to find out.


Spontaneous adverse drug reaction reports have been the proverbial ‘bread and butter’ for signal detection since the beginnings of pharmacovigilance. But times are changing, and with the abundance of data now available in a society that has gone digital, it is time to explore new data sources to detect signals.

Join Federica Santoro and Daniele Sartori, a pharmacovigilance scientist at UMC and doctoral researcher at the University of Oxford, discuss expanding sources of evidence for more reliable signal detection.

Subscribe by visiting the Drug Safety Matters website or listen to the podcast here:

You may also like


Artificial intelligence in pharmacovigilance: Harnessing potential, navigating risks

AI holds potential to transform pharmacovigilance. But navigating the risks requires critical assessment. This article explores AI's evolving role in medicines safety.

22 October 2024

Weeding out duplicates to better detect side-effects

Duplicate reports are a big problem when it comes to signal detection, but with the help of machine learning and new ways of comparing reports, we may more effectively detect them.

25 April 2024

vigiVec through the Research Corner lens

The Research corner film series puts UMC pharmacovigilance scientists in the spotlight as they discuss their research and its implications for pharmacovigilance science.

15 November 2023