Latest Articles

In this article, we explore the importance of LEAF and how the choice of equipment – together with better habits – can significantly contribute to a greener and more sustainable future for laboratories.

In this opinion piece, Markus Gershater provides a comprehensive look into the current state and immense potential of artificial intelligence in reshaping the landscape of drug discovery.

In this article, we will explore some of the theory behind the one sample t test, assumptions of the test, interpretation and a worked example.

The Friedman test can be used to compare repeated measures or samples, such as following a person's biological functions over time. In this article, we consider its assumptions, when to use it and go through a worked example.

The four main considerations that any leader should take into account to successfully implement AI in their organization are explored here.

In this article, we discuss how a deep learning framework can specifically address real-world challenges to enhance site selection while seeking to improve trial diversity.

From AI's transformative role in drug discovery and CRISPR breakthroughs to the rise of biosimilars and real-world data. Learn how these innovations are reshaping pharma and driving progress in 2024.

If you want to compare means of continuous variables between two groups or to a hypothesized value, you might need a z test. In this article, we explore the two types of z test, assumptions of the test, interpretation and a worked example.

In this article, we will explore the theory, assumptions and interpretation of Pearson’s correlation, including a worked example of how to calculate Pearson’s correlation coefficient, often referred to as Pearson’s r.

Dr. Kanaka Rajan is a leader in a new wave of neuroscience that has leveraged vast volumes of computing power as a tool for understanding the brain. In this interview, she discusses her motivations, research and greatest achievements.