Latest Industry Insights

Technology Networks spoke to Dr. Ofer Sharon, CEO of OncoHost, to learn about the challenges in non-small cell lung cancer treatment and how proteomics-based analysis could enable personalized cancer treatments.

In this interview, Technology Networks spoke to Heiko Neuweger, director of Bioinformatics Life Science Mass Spectrometry Software R&D at Bruker, to learn about the importance of target compound annotation and identification, the advantages of integrating collision cross section (CCS) information into workflows and the benefits of CCS-Predict Pro.

Technology Networks spoke to Dr. Markus Gershater to learn more about Synthace's Lab automation & experimentation in life science R&D 2023-2024 report, its findings and their significance.

In this op-ed, Markus Gershater delves into different aspects of the data we’ll need to generate to help us truly understand the biological systems we deal with.

With growing sustainability demands, companies are looking for ways to demonstrate their green credentials. We spoke to Dr. Michael Frank to find out what ACT accreditation means for a company and why he thinks schemes like this are so important.

HPLC system manufacturers have been striving to improve usability, accessibility and help users improve their experimental outcomes. And what better way to do that than to involve the users themselves in that development process.

To learn more about the waters_connect^TM System Monitoring Software and the benefits it offers, Technology Networks spoke to Dave Leitham.

We spoke with Bio-Rad’s Justin Barker to discover some of the challenges associated with gene expression analysis in oncology and learn about technology developments in this field.

Discover ways for decarbonization in biobanking and learn how a biobank information management system (BIMS) can reduce the carbon footprint of biobanks.

Technology Networks had the pleasure of speaking with Dr. Maddison Masaeli, co-founder and chief executive officer at Deepcell to learn about the REM-I platform, a single-cell analysis tool that utilizes AI-powered imaging to magnify insights into a cell’s phenotype and function.