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Potential blockbuster drugs to watch in 2025
Eleven drugs are poised to make waves in the pharmaceutical industry in 2025, according to the annual report.
List view / Grid view
Artificial Intelligence
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FDA issues first recommendations on AI for drug development
The new US Food and Drug Administration (FDA) guidance will enhance credibility of AI models in drug and biological product regulatory submissions.
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Adopting AI for R&D in 2025 – what needs to be addressed?
Dr Vladimir Makarov, AI Community lead, The Pistoia Alliance, explains that despite the willingness of the life sciences R&D industry to adopt artificial intelligence (AI), data integrity is a key area that must be addressed to ensure successful integration of this fast-evolving technology.
webinar
Navigating pharmaceutical environmental monitoring in a changing industry
9 December 2024 | By European Pharmaceutical Review
During this virtual panel, industry experts will explore the latest advances in environmental monitoring, discuss key challenges within the sector and approaches that can prevent and mitigate these issues.
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The EU AI Act: will regulation drive life science innovation away from Europe?
Mike King, Senior Director, Product & Strategy (Quality, Regulatory, Safety & Detect), Digital Products & Solutions at IQVIA and Alex Denoon, Partner at Bristows Law Firm, explore the challenges of implementing the EU AI Act and the impact of GDPR requirements in life sciences.
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AI and automation to drive “substantial progress” in pharmaceutical analytical testing
Analysis cites personalised medicine, outsourcing and digitalisation as some of the key factors set to advance the pharmaceutical analytical testing market to 2032.
news
Digitalisation propelling automated microbiology market growth to 2033
Increased adoption of artificial intelligence (AI) and machine learning (ML) in microbiology is set to be a key driver of the global automated microbiology market to 2033, research asserts.
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EMA publishes EU strategy to 2028
The draft strategy, open for an eight-week public consultation, will help guide the direction of the network over the next few years.
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Eli Lilly appoints Chief AI Officer
The new appointee will create AI and machine learning solutions to support Eli Lilly’s medicines for patients globally.
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Optimising wet granulation manufacturing with advanced technologies
The approach proposed in the paper suggests how artificial intelligence (AI) and machine learning (ML) could enhance process efficiency and product quality during complex manufacturing.
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A holistic approach to safeguard data integrity in Biopharma manufacturing
Data integrity is critical in Biopharma manufacturing yet is often difficult to achieve due to complex regulatory requirements and legacy data management systems, among the many factors. Furthermore, issues such as data accuracy, completeness and security impact product quality, regulatory compliance and ultimately patient safety. Addressing all these challenges demands…
whitepaper
Synthesis and Route Design to Tackle API Complexity
22 July 2024 | By
These longer synthetic pathways present challenges for process chemists hoping to achieve an efficient API manufacturing process.
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Securing Europe’s competitiveness in life sciences
Digitalisation, R&D and AMR were highlighted as key areas of focus to support European competitiveness up to the end of the decade, as set out in new Political Guidelines for Europe.
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Pharma’s attitudes on AI revealed
Artificial intelligence (AI) is generally being embraced in the pharma and life science sectors, but concerns around data accuracy and transparency remain, a new survey reveals.
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Guide to Data Integrity 2024
In this Guide to Data integrity articles explore the role of data integrity in CCS, AI and ML as well as biopharma manufacturing.
