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Answers to Unsolved Rare Disease Mysteries May Be on the Horizon
In this opinion piece, Neil Ward explores how advances in sequencing could help to provide new insights for rare disease patients.
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The Future of Digital Health With Professor Michael Snyder
Professor Michael Snyder performed the first longitudinal detailed integrative personal omics profile and used this to assess disease risk and monitor disease states. Technology Networks invited Snyder to an Ask Me Anything session to answer your questions about the future of digital health.
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An Introduction to Bayesian Statistics
Bayesian statistics has emerged as a powerful methodology for making decisions from data in the applied sciences. Bayesian brings a new way of thinking to statistics, in how it deals with probability, uncertainty and drawing inferences from an analysis.
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Autoantibody Detection for the Differentiation of Autoimmune Liver Diseases
This article explores the importance of testing for liver-related autoantibodies to differentiate between three autoimmune liver diseases.
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Using Exercise to Inform Insulin Delivery in Patients With Type 1 Diabetes
Current automated insulin delivery systems for Type 1 diabetics struggle to regulate blood glucose effectively during exercise, but integrating data from wearable fitness sensors and AI could change that, a recent study suggests.
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Biomarker Bonanza: Computational Methods and Metabolomics Advances
Biomarkers can potentially aid patient management across the stages of their disease course. This article will review advances in computationally-driven biomarker discovery, including from metabolomics datasets, for complex, multifactorial diseases.
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Impact of Precision Dosing on Patient Care
This article explores the current state of drug monitoring and highlights the important role precision dosing can play in optimizing patient care.
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An Introduction to Capillary Electrophoresis: Theory, Practice and Applications
Capillary electrophoresis is a powerful separation and analysis technique that offers quick and efficient results. In this article, we explore how it works, variations on the technique and their applications.
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Oncology Researchers: Are You Getting the Most From Your Digital PCR Data?
This article discusses what good dPCR data looks like, how substandard equipment can detract from data quality and what oncology researchers can do to get high-quality dPCR data that will provide accurate and efficient insight into tumor load.
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The Ultimate Guide to Avoiding Predatory Conferences
Predatory conferences are the ramshackle distant cousin of your regular scientific event, a Fyre Festival of science (without the involvement of Ja Rule). It is getting harder to separate fake conferences from real ones. Given this deluge of dodgy science, we have created a guide to spotting and avoiding predatory conferences.
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