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Transforming pharmaceutical manufacturing: The AI revolution

European Pharmaceutical Review

Revolutionising quality control In the backdrop of stringent quality standards and regulatory demands inherent to pharmaceutical manufacturing, the addition of AI technologies introduce a paradigm shift. Integrative Analysis of Multi-Omics Data with Deep Learning: Challenges and Opportunities in Bioinformatics.

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Understanding the Regulatory Environment in Japan for Generic Drug Development

Drug Patent Watch

The regulatory environment in Japan for generic drug development is complex and has undergone significant changes in recent years. New Drug Application (NDA) : Needed for marketing approval of new drugs. Abbreviated New Drug Application (ANDA) : Required for marketing approval of generic drugs.

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FDA publishes paper on AI/ML in drug development

European Pharmaceutical Review

The US Food and Drug Administration (FDA) has released a discussion paper to complement and inform future guidance on artificial intelligence (AI) and machine learning (ML) in drug development. The paper also highlighted that AI/ML can enhance manufacturing supply chain. Comment on the discussion paper here.

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How CDMOs Can Help with Regulatory Challenges

Drug Patent Watch

They can help ensure that these submissions are complete, accurate, and timely, which is critical for advancing drug development programs. They can help ensure that the commercial pharmaceutical manufacturing process is designed to meet regulatory requirements and offer insight into the most effective manufacturing strategies.

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Asahi Kasei establishes life science division to streamline bioprocess operations for pharma sector

Express Pharma

To address growing demand from the pharmaceutical industry, Asahi Kasei has launched a new division, Asahi Kasei Life Science, effective from 1 April 2025. The new structure is designed to unify its bioprocess businesses and streamline services offered to pharmaceutical partners across drug development and manufacturing.

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Pharma Horizons: Artificial Intelligence

European Pharmaceutical Review

The first in our inaugural Pharma Horizons report series is dedicated to exploring the latest advances in artificial intelligence (AI) and machine learning (ML) for drug development, pharmaceutical manufacturing and quality control.

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FOPE and PharmaState Academy complete second PULSE session on pharmaceutical quality systems

Express Pharma

Panelists emphasised the importance of skilled manpower, regular cleaning verification studies, and the application of machine learning in pharmaceutical manufacturing. They also addressed data integrity, GDPR, and the need for change control in product manufacturing.