article thumbnail

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.

article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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.

article thumbnail

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.

article thumbnail

PHARMEXCIL strengthens India-UAE partnership

Express Pharma

The meeting highlighted the enduring economic and commercial ties between the two nations, with a particular focus on pharmaceutical exports and collaboration in drug development, formulations, vaccines, and Active Pharmaceutical Ingredients (APIs).

article thumbnail

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.

article thumbnail

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.