Data Analytics for SampleManager LIMS
Laboratories produce vast amounts of data in many types and forms. All this data has the potential to inform and advance the business, or to be analysed further using Artificial Intelligence or Machine Learning to drive deeper insight, but only if it can be put into context and delivered in a useful format to the people who need it to make informed decisions.
The Latest Regulatory Guidance for Data Integrity and Regulatory Compliance
Owing to widespread data falsification and poor data management practices, data integrity and compliance with good manufacturing practice (GMP) regulations are currently a major topic in the pharmaceutical industry. To aid our understanding of data integrity concerns, regulatory authorities have issued guidance documents on the topic. This article will give an overview of this guidance and review specific requirements for computerized systems.
Data and Data Integrity
An increase in the application of big data across many fields has resulted in significant changes to the way that data is acquired, analyzed and visualized. Download this infographic to learn more about the types of big data and the importance of data visualization and data integrity.
Does the Brain Learn Like a Computer Learns?
A new perspectives piece relates machine learning to biological learning, showing that the two approaches aren’t interchangeable, yet can be harnessed to offer valuable insights into how the brain works.
Perfect Blood Pressure Helps Our Brains Looks Younger
According to research, people with elevated blood pressure that falls within the normal recommended range are at risk of accelerated brain aging.
"Hormone Disruptor" Chemical in Consumer Products Linked to Startling Number of Premature Deaths Annually
A study shows that daily exposure to chemicals used in the manufacture of plastic food containers and many cosmetics may lead to roughly 100,000 premature deaths among older Americans each year.
Daunting Outlook for Year-Round Sea Ice and Its Ecosystems
With warming climate, summer sea ice in the Arctic has been shrinking fast, and now consistently spans less than half the area it did in the early 1980s. This raises the question: If this keeps up, in the future will year-round sea ice—and the creatures who need it to survive—persist anywhere?
New Resource Will Drive Research on the Genetics of Type 2 Diabetes
Many variants in the human genome have been linked to type 2 diabetes, but because most do not lie within genes that code for proteins, it’s unclear how they might cause disease. Now an international team, including investigators at Massachusetts General Hospital (MGH), has developed a resource to help uncover the impact of these genetic variants.
Teach Me in 10 Hub Page
At Technology Networks we understand the importance of time. That's why we've launched Teach Me in 10 a video series that challenges scientists to present and summarize their research area, a scientific concept, or technology in ten minutes or less.
Scientific Storytelling: It's All About Context
In this interview, Dr. Yotam Ophir discusses the different types of narratives that exist around science, their impact and why retractions should be interpreted as a positive step in scientific progress.
Lab Automation for Synthetic Biology Workflows
Download this guide to learn more about how automation can reduce human errors and increase the variety and number of experiments that can be conducted simultaneously.
Best Practices for Returning to the Lab
Download this free how to guide to learn more about the tips and best practices for returning to the lab after an unexpected shutdown.
Clinical Omics and Mass Spectrometry
Due to its broad-based applicability to detect compounds with a wide range of masses, along with its high sensitivity, mass spectrometry (MS) has been used extensively in a range of omics analyses and applications. In this listicle, we explore the use of MS-based data in a variety of clinical omics settings.
Examining the Reproducibility Crisis
Download this listicle to learn about the importance of reproducibility, why problems in reproducibility persist and steps you can take to improve reproducibility.