From Machine Learning to Causal Inference: Key Takeaways from ISPE 2024

It was great connecting with clients and industry leaders at the International Society for Pharmacoepidemiology (ISPE) Annual Meeting last month in Berlin. In case you missed it, or would like to revisit the research we presented, you can access it here. 

Machine Learning/Artificial Intelligence

As our team reflected on the key takeaways from the event, an exciting development to note was the exploration of the potential of machine learning and artificial intelligence (ML/AI) to revolutionize pharmacoepidemiology. These technologies are opening new doors, from utilizing unstructured electronic medical data to uncovering rapid insights into treatment and disease patterns.

However, while ML/AI offers vast potential, it comes with challenges. From the risk of errors like "hallucinations" to overlooking ethical considerations and missing the nuance of real-world data, these technologies require the guidance of content experts to ensure they are applied appropriately. Pharmacoepidemiologists, with their specialized expertise, play a critical role in navigating these complexities and making the most of ML/AI in research.

Causal Inference/Target Trial Emulation

One of the most prominent developments at this year’s ISPE was the emphasis on principled causal inference research. Besides the usual focus on controlling for confounding, we noted that several sessions highlighted the relevance of the Target Trial Emulation framework to avoid design-related bias that can hinder the evaluation of the efficacy and safety of health care interventions. Target Trial Emulation methodology was presented in a preconference course and two symposia, and applications were presented in more than 50 other presentations or posters. If you wish to become fluent on this topic in a highly didactic environment, we invite you to attend our course on Target Trial Emulation in Barcelona.

Ready to explore how we can support your next project? Contact our experts today to learn how we can help you leverage the latest technologies to elevate your research.