Designing an efficient platform is crucial for any industrial process. This design process is known as process development, and it has become increasingly important in the pharmaceutical industry at ...

Incorporating sustainable practices into process designs as early as possible ensures optimal performance. Drug developers face increasing pressure to accelerate process development and reduce costs ...

For the very first time, Pieter Cullis, Professor at University of British Columbia will be speaking at the summit along with 50+ LNP industry leaders including: A new white paper from Lumanity – ‘A ...

High-throughput scale-down methods have become a critical component in process development. These strategies allow for screening a wide process design space while minimizing resources and material ...

Process engineers develop ideal solutions to engineering problems using a logical theoretical framework combined with logical engineering steps. Unfortunately, many process engineering problems cannot ...

Drawn to the dynamic and fast-paced nature of the work, Rachel Dahlberg began her plastics journey as a process development engineer at Graham Packaging. The work complemented her chemical engineering ...

Despite the fact that, according to Business Insider, ChatGPT creator OpenAI might be training its AI technology to replace some software engineers, numerous experts are confident this won’t affect ...

At the forefront of Europe’s photonics innovation, TNO is building a state-of-the-art pilot line for Indium Phosphide (InP) photonic chips at the High Tech Campus in Eindhoven. As part of the ...

It is crucial to understand the drug development process and the many milestones and tasks that are essential to a comprehensive development plan to guarantee scientific and commercial success. While ...

Let’s roll back to the basics and discuss a few innovation tips that I think all software developers should understand. My company produces software-enabled solutions that aim to solve problems while ...

Deciphering complex interactions between variables is where machine learning and deep learning shine, but figuring out exactly how ML-based systems will be most useful is the job of engineers. The ...