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Home | Technology Networks Read by hundreds of thousands of people every month, Technology Networks is a leading online science publication Our integration of breaking news, focused articles and educational resources support scientists from bench to boardroom across a multitude of industries
Jonathan Sharp | Editors | Technology Networks He holds a degree from the University of Alabama at Birmingham and is a results-oriented leader who leverages technology to modernize business operations and enhance customer satisfaction Jonathan maintains a robust professional network and is actively involved in technology and legal communities
Drug Discovery | About Us - About Us | Technology Networks Over 10 million people visit Technology Networks each year to do just that A trusted scientific news publication, Technology Networks is uniquely divided into 12 communities that provide focused, high-quality coverage of analytical chemistry, life sciences, drug discovery and neuroscience
Paperless Lab Tips To Streamline Research Workflows | Technology Networks However, transitioning to a paperless lab is not as simple as purchasing digital technologies Technology Networks spoke with Dr Samantha Pearman-Kanza, senior enterprise fellow at the University of Southampton, to learn more about the benefits (and potential pitfalls) of going paperless in the lab and some of the research advancing digital
Contributors | Technology Networks Love science? We’ve got it covered! With access to the latest news, articles and resources, Technology Networks explores the science that matters to you
Mitochondria Transfer Breakthrough Could Heal . . . - Technology Networks This means therapies created from the technology could potentially only require monthly administration "This is an early but exciting step toward recharging aging tissues using their own biological machinery," Gaharwar said
How Much Information Can the Brain Process? - Technology Networks What is information theory? Information theory, originally developed by Claude Shannon in the mid-20th century, provides a mathematical framework for quantifying information transfer It is widely used in communications technology, cryptography, data compression and neuroscience
Development of Quantitative Lateral Flow Tests | Technology Networks This webinar, led by Klaus Hochleitner, will explore how to address common challenges in qLFT development and provide practical insights to help you enhance accuracy, minimize uncertainty and unlock the full potential of quantitative lateral flow technology