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Latest Industry Insights
The Future of Sustainable HPC
Industry Insight

The Future of Sustainable HPC

It is an unavoidable fact that high-performance computing (HPC) is an energy-intensive environment. In this Insight, OCF's Mischa van Kesteren investigates the steps we can take to address this and achieve a more sustainable future for HPC.
Make Data Work for You in the Race To Manufacture Effective Vaccines
Industry Insight

Make Data Work for You in the Race To Manufacture Effective Vaccines

It’s imperative that scientists and leaders in the COVID-19 vaccine development space have good data management practices to ensure the quality of data and to recue the time-to-market now, and in the future. In this article, we explore how to make data work for you when manufacturing an effective vaccine.
Leading the Charge in the Cryo-EM Resolution Revolution
Industry Insight

Leading the Charge in the Cryo-EM Resolution Revolution

See how cryo-EM advances are changing scientific research, particularly in cell and drug discovery studies, and the role that precision instruments are playing in this.
A New SARS-CoV-2 Descriptive Diagnostic Test – What Makes This Assay Different to Others?
Industry Insight

A New SARS-CoV-2 Descriptive Diagnostic Test – What Makes This Assay Different to Others?

Clear Labs is a company focused on the latest technologies in molecular testing, machine learning, automation and bioinformatics – it develops fully automated next-generation sequencing and in vitro diagnostics solutions. Technology Networks had the pleasure of speaking with ClearLabs’ CEO Sasan Amini, to learn more about the company’s NGS-based COVID test, Clear Dx™.
The Importance of Digital Transformation in Laboratory Informatics
Industry Insight

The Importance of Digital Transformation in Laboratory Informatics

For companies in the life sciences and pharma industry, a long-standing challenge is the need to digitize and make available legacy data for drug development workflows. At the same time, they must also incorporate the latest technologies into drug development and testing processes. In this article, Mark Spencer explores how companies can tackle these dual challenges with the help of informatics solutions.
Next-Generation Sequencing: Tracking the Spread and Evolution of SARS-CoV-2
Industry Insight

Next-Generation Sequencing: Tracking the Spread and Evolution of SARS-CoV-2

This article explores how next-generation sequencing (NGS) is being used to help track the spread and evolution of SARS-CoV-2, including pinpoint the different lineages of the virus and identifying patterns of its movement both globally as well as locally.
A Smarter Way To Remove Host  Cell Protein Contamination From Gene Therapies
Industry Insight

A Smarter Way To Remove Host Cell Protein Contamination From Gene Therapies

In this piece, Ejvind Mørtz and Todd Stawicki explain why it’s critical that gene therapy products are free of host cell proteins and how this can be ensured in the production process, so that these next-generation drugs can fulfil their potential as one-shot cures for a range of diseases, from rare genetic conditions to cancer.
How Can Healthcare Workers Keep Up With the Latest Research?
Industry Insight

How Can Healthcare Workers Keep Up With the Latest Research?

Between caring for patients and battling global pandemics, healthcare workers have a lot on their plate. How can healthcare workers make time to keep abreast of the latest literature in their field?
Tapping Into Information Locked in Our T Cells To Fight COVID-19
Industry Insight

Tapping Into Information Locked in Our T Cells To Fight COVID-19

T cells are an important part of our immune memory and offer a wealth of valuable information about the way our bodies perceive and respond to pathogens. Learn how this information is being harnessed and applied in the fight against COVID-19.
Why Automation Will be the Cornerstone of the Post-COVID Biology Lab
Industry Insight

Why Automation Will be the Cornerstone of the Post-COVID Biology Lab

The 21st century has seen a revolution in how we approach research. With the advent of new technologies like automation and machine/deep learning, biology is becoming a less inferential and more data-driven discipline. With scientific research delayed worldwide due to the COVID-19 pandemic, is it time to re-examine the future role of automation in biological research?
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