Latest Industry Insights

Technology Networks spoke to Linda De Jesus, senior vice president and chief commercial officer at Azenta Life Sciences to find out more about the announcement and how this will help drive innovation with greater speed and accuracy.

To find out more about HPIMS, Technology Networks spoke with Dr. Ching Wu, founder and chief executive officer at Excellims and a pioneer of HPIMS. In this interview, Dr. Wu talks about the advantages that the technique can offer in applications ranging from pharma PAT to clinical diagnostics, and discusses how Excellims is increasing accessibility to the technology.

Dimitris Argyropoulos explores the history of CASE and some of the ways it can be used to help scientists.

The service will enable oncologists, hematologists and other healthcare professionals to undertake rapid and extensive genomic analysis of cancer samples on an unprecedented scale in the UK.

An interview with LARVOL’s Sabrina Bellisario and Dr. Mark Gramling helps provide insights into the importance of precision medicine databases and how LARVOL is providing access to the information pharma and biotech companies need as they develop cancer treatments.

In this article, we discuss the use of autoantibodies to diagnose and monitor type 1 diabetes mellitus and provide some future perspectives on potential therapies beyond insulin.

A new partnership between MAPS Public Benefit Corp (PBC) and Wesana Health will see $1.5 million contributed towards investigation into the therapeutic potential of the psychedelic compound MDMA in treating traumatic brain injury (TBI).

Certara is developing biosimulation and tech-enabled approaches to help scientists answer key questions at various stages of the development pipeline, serving to inform and accelerate the path to regulatory approval. One such approach, the company’s Vaccine Simulator™, can be leveraged across different therapeutic areas to determine optimal vaccine dosing and dosing regimens for different patient cohorts.

Fitbits, Apple Watches, smartphone apps and other products have become ubiquitous in consumer health tracking. As these technologies quantify and capture users' physiology, they are generating an abundance of data. These data contain a wealth of information that can enable early detection of diseases like diabetes, asthma and heart conditions. But to use this data effectively, a wearable and voiceprint data analysis strategy will be required.

Technology Networks had the pleasure of speaking with Dr. Vladimir Makarov, project manager of the Pistoia Alliance Artificial Intelligence and Machine Learning Centre of Excellence, to learn more about the DataFAIRy project, its aims and importance.