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What’s the Current State of ME/CFS Research?
Dr. Emma Slack, Science Writer at ME Research UK, updates Technology Networks on the latest chronic fatigue illness research advancements.

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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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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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Top Trends Shaping Pharma in 2024: AI, Gene Editing, Biosimilars and Real-World Data
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.
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