Manufacturing

Anurag S. Rathore is a professor in the Department of Chemical Engineering at the Indian Institute of Technology Delhi and a member of 

l's Editorial Advisory Board, Tel. +91.9650770650, asrathore@biotechcmz.com.

Naveen G. Jesubalan is a doctoral researcher at the School of Interdisciplinary Research, Indian Institute of Technology Delhi, India

Garima Thakur is a graduate student in the Department of Chemical Engineering at the Indian Institute of Technology New Delhi.

Articles

This article summarizes industry views on PAT in bioprocess-related applications and presents a vision for the biopharmaceutical industry to achieve Industry 4.0.

Perspectives on Process Analytical Technology 

Grant Playter is the Assistant Editor for 

As process controls adjust to a continuously shifting manufacturing landscape, implementation of information gathered from novel data analysis techniques has become a priority.

The Ongoing Transformation of Process Controls

Peter Zipfell is product marketing manager, CDS Software, at Thermo Fisher Scientific.

Michelle English is Data Science product manager at Protein Metrics.

The integration of modern software tools can make the acquisition and analysis of MS data more efficient, accurate, and compliant.

Connected Software Solutions Streamline Biopharma MS Workflows

Prashant Pokhriyal is associate scientist at Intas Pharmaceuticals Ltd. (Biopharma Division), Ahmedabad, Gujarat, India.

Prateek Gupta is senior general manager at Intas Pharmaceuticals Ltd. (Biopharma Division), Ahmedabad, Gujarat, India.

Sridevi Khambhampaty is vice-president at Intas Pharmaceuticals Ltd. (Biopharma Division), Ahmedabad, Gujarat, India.

Rajesh Ullanat is executive vice-president at Intas Pharmaceuticals Ltd. (Biopharma Division), Ahmedabad, Gujarat, India.

Mili Pathak is principal scientist, Process Science, R&D, at Intas Pharmaceuticals Ltd. (Biopharma Division), Ahmedabad, Gujarat, India.

Recent trends in data analytics highlight the use of modeling techniques to improve process control and monitoring in biopharmaceutical production.

Using Modeling to Improve Data Analytics for Upstream Bioprocessing Workflows

Feliza Mirasol is the science editor for 

The growing use of automation and digitalization technologies push cell culture bioprocessing forward.

Cell Culture Processing Continually Advances

Lighthouse manufacturing techniques utilize technology and automation to streamline production.

The Lighthouse Effect: Using Technology to Improve Life Sciences Manufacturing

Fosun Pharma and Insilico Medicine will collaborate on AI-driven drug discovery and development of product candidates targeting multiple disease targets.

Fosun Pharma and Insilico Medicine Partner on Drug Discovery and Development Using Artificial Intelligence

Modeling techniques can improve process control and monitoring in biopharmaceutical production.

Recent Trends in Data Analytics for Upstream Process Workflows

Upstream processing is better optimized with the help of automated workflows.

Automating Upstream Processes Helps Sync Workflows

Toni Manzano, toni.manzano@aizon.ai, is chief science officer and co-founder at Aizon.

Qualified algorithms enable validation of machine learning models that can be used for process optimization. 

Process Control, Automation, and PAT