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Synthetic Antibiotics Could Improve Treatment of “Superbugs”
Technology Networks spoke to Dr. Ishwar Singh to learn more about the challenges of drug-resistant infections, the discovery of teixobactin and the benefits of synthetic antibodies.
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Deregulating Psychedelics To Propel Clinical Research
This article explores the need to deregulate certain psychedelic drugs, including MDMA and psilocybin, which could help people living with PTSD and treatment-resistant depression as pharmaceutical treatments to retrain neural pathways and improve these conditions.
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Pearson Correlation
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.
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Are Monoclonal Antibodies the Future of Long COVID Treatments?
Dr. Nancy Klimas, director of the Institute for Neuro-Immune Medicine at Nova Southeastern University, explains the great potential of monoclonal antibodies in treating long COVID.
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Laura Eghobamien on Founding the Black Medical and Scientific Network and Advocating for Diversity in STEMM
In 2020, Laura Eghobamien founded the Black Medical and Scientific Network (BMSN), a membership organization dedicated to providing support for minority students and Black professionals in STEMM. Technology Networks recently spoke with Eghobamien to learn more about her motivations for founding the BMSN, her ongoing efforts to enhance diversity in the sciences and the impact she hopes to make in fostering inclusive environments within the STEMM community.
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Spearman Rank Correlation
In this article, we will explore the theory, assumptions and interpretation of Spearman’s rank correlation, a flexible statistical tool that assesses the strength and direction of the relationship between two quantitative, ranked variables.
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The Fisher’s Exact Test
In this article, we explore the theory, assumptions and interpretation of the Fisher’s exact test, used to investigate associations between two categorical, binary variables with small sample sizes, and take you through a worked example.
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Unveiling Novel Therapeutic Targets for Neuroendocrine Cancers: A Precision Medicine Breakthrough
With limited therapeutic options available, scientists have been addressing a compelling need to explore personalized approaches for high-grade gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) that could revolutionize patient care.
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AI in Science Publication: The Good, the Bad and the Questionable
We take a deep dive into the current guides and policies for using AI-assisted technologies in scientific data generation and publication, asking: what does the future look like?
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The Sleeping Giant Awakes: Defining a New Era of MRR Spectroscopy
In this article, we summarize the fundamental technical advantages of MRR instruments, outline recent work being done in pharma discovery and reaction optimization applications and look forward to how MRR looks set to develop in the years ahead.
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