How to Use AI in Data Management
May 9, 2023
In the first blog post of this series, we discussed what exactly Artificial Intelligence/Machine Learning (AI) was by using the analogy of the marathon runner.
Our perspective on AL/ML in the life sciences industry.
In the first blog post of this series, we discussed what exactly Artificial Intelligence/Machine Learning (AI) was by using the analogy of the marathon runner.
AI. ML. ChatGPT. There’s lots of abbreviations out there and they all have us trying to figure out what they mean — for us. Will they make our lives easier? Will they take our jobs? Welcome to our “Demystifying AI” blog series! In this initial post, we’ll talk about AI and how it works. Let’s
While the potential use cases of AI have increased and its adoption has already gone up in the past few years, the pharmaceutical industry has
A clinical trial involves a set of complex processes, which include writing the protocol, recruiting patients, conducting the study, and culminating in bringing the drug
Patients’ safety is the top priority in any clinical trial. The data safety and monitoring services (DSMC) are there to ensure that the clinical studies
One of the major challenges of managing clinical trials is collecting and applying relevant and important performance metrics. These Key Performance Indicators (KPIs) are used
