Latest Articles

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How To Enter a New Chapter in Academic Publishing
In this interview, Alex Freeman, the founder of Octopus, discusses the progress made since the platform's launch and the ongoing challenges of establishing a new paradigm in academic publishing.

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Unlocking Nature's Secrets With Metabolome Informed Proteome Imaging
A new metabolome-informed proteome imaging (MIPI) workflow has been developed for studying microscale microhabitats in complex ecosystems, opening the door to novel explorations and applications in both environmental and clinical settings.

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Could Authors Be Saying “Goodbye” to the Accept/Reject Decision?
Trying to publish scientific research can be slow, demoralizing and put up barriers to progress. But what if there was another way, one that let authors take more control while making readers more informed about how their peers evaluate the study?

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The New Technologies Changing the Face of Data Integrity in Drug Discovery
As research datasets become larger and harder to handle, maintaining data integrity standards is more important than ever. This article will feature interviews with experts and discuss the latest advances in the area.

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LEAF Promotes Greener Laboratory Practices
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.

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How AI Is (So Close to) Transforming Drug Discovery
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.

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The One Sample T Test
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.

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The Friedman Test
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.

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

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Strengthening a Commitment to Diversity and Inclusion in R&D With the Help of Novel Machine Learning Approaches
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.
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