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The integration of artificial intelligence (AI) in pharmaceutical manufacturing is set to open a brand-new chapter in this industry's development, as well as unprecedented opportunities for strengthening quality control and improving decision-making. In this article, Dr Gonesh Chandra Saha, Head of the Department of Computer Science & Information Technology at…
In this exclusive interview from CPHI 2023, Mohamed Noor, Digitalization Manager at the National Institute for Bioprocessing Research and Training (NIBRT), explores the trends, challenges and opportunities that digitalisation and process analytical technology (PAT) have within the biopharmaceutical industry.
On 18 October 2023, Schneider Electric’s unique event brings together six leading speakers who will explore the future of biotechnology and personalised medicine using AI & digital transformation in life sciences.
Insilico Medicine’s novel AI-generated small molecule inhibitor drug represents a new milestone in pharmaceutical drug development.
A GSK-funded paper on pharmacovigilance stated that the pharma industry needs to harness the properties of data to allow optimal use of AI, otherwise "we will fail to do all we can for patient safety".
While there has been "strong progress" in addressing certain skills gaps, advancing tech like AI means biopharma are increasingly seeking talent with data skills, ABPI stated.
Referencing Annex 1–2022, a paper has described how automation will be implemented in aseptic environments in view of regulatory requirements.
A paper has shown how machine learning (ML) models predicted the inkjet printing printability of drug formulations with high accuracy.
Pharma has been implementing process digitalisation and automated quality management systems to improve efficiency in drug manufacturing, a report says.