The International Society for Pharmaceutical Engineering (ISPE) has announced ISPE AI®, a multifaceted approach to supporting the industry in AI readiness. This includes the launch of an Artificial Intelligence (AI) Community of Practice (CoP). ISPE provides resources to aid the pharmaceutical industry in realizing the potential of AI through identifying and bringing forth best practices, liaising with regulatory bodies, and communicating lessons learned and case studies with relevant stakeholders. Explore the resources below to learn more.
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Blue Sky Lab Automation for the QC Industry
Blue Sky Lab Automation for the QC Industry Complimentary Learning Level: Advanced Session Length: 1…
iSpeak Blog
Beyond Automation: The Human Touch in Industry 5.0
The future of manufacturing is not a battle between humans and machines. It is a collaboration that…
PE Articles
Pharmaceutical Engineering® Article Wins 2024 APEX Award
ISPE has been honored with a 2024 APEX Award of Excellence in Writing for “ChatGPT, BARD, and Other…
PE Articles
ISPE Announces ISPE AI®
ISPE recently announced ISPE AI ®, an initiative aimed at aiding the pharmaceutical industry in…
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AI/ML in Regulated Life Sciences (GxP) Sectors - Project/Operation Phase: Computerized System Integration and Acceptance
AI/ML in Regulated Life Sciences (GxP) Sectors - Project/Operation Phase: Computerized System…
iSpeak Blog
Explore AI Solutions and Pursue Digital Transformation-Related Technology Advancements in the Pharmaceutical Industry: Join the 2024 ISPE Annual Meeting & Expo
In the rapidly evolving pharmaceutical landscape, artificial intelligence (AI) has been hailed as…
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AI/ML in Regulated (GxP) Life Sciences Sectors - Project Phase: Iterative training and fine-tuning
AI/ML in Regulated (GxP) Life Sciences Sectors - Project Phase: Iterative training and fine-tuning…
PE Articles
Artificial Intelligence Governance in GxP Environments
Artificial intelligence (AI) is used by pharmaceutical and biotech companies, providing support from…
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AI/ML in Regulated (GxP) Life Sciences Sectors - Concept/Project Phase: Representative Data Sets
AI/ML in Regulated (GxP) Life Sciences Sectors - Concept/Project Phase: Representative Data Sets…
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Demystifying Machine Learning: Regression Models, Classification Models, and the AI Landscape
Demystifying Machine Learning: Regression Models, Classification Models, and the AI Landscape…
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AI/ML in Regulated (GxP) Life Sciences Sectors - Concept Phase: Business Need & Risk Assessment
AI/ML in Regulated (GxP) Life Sciences Sectors - Concept Phase: Business Need & Risk Assessment…
iSpeak Blog
The Machine Learning Life Cycle (MLLC): Key Artifacts, Considerations, and Questions
It is an exciting time in life sciences. Many companies have focused initial artificial intelligence…
Guidance Documents
Artificial Intelligence (1)
Data Integrity (1)
GAMP® (1)
Community Discussions
Community Discussions
Pharmaceutical Engineering Magazine Articles
Pharmaceutical Engineering® Article Wins 2024 APEX Award
ISPE has been honored with a 2024 APEX Award of Excellence in Writing for “ChatGPT, BARD, and Other…
ISPE Announces ISPE AI®
ISPE recently announced ISPE AI ®, an initiative aimed at aiding the pharmaceutical industry in…
Artificial Intelligence Governance in GxP Environments
Artificial intelligence (AI) is used by pharmaceutical and biotech companies, providing support from…
Machine Learning Risk and Control Framework
Stakeholders across industries are becoming accustomed to using information technology (IT) systems…
New EU AI Regulation and GAMP® 5
This article describes how ISPE GAMP ® 5: A Risk-Based Approach to Compliant GxP Computerized…
Emerging Leaders Editorial: Career Development Powered by AI
The healthcare field is being transformed by artificial intelligence (AI) in remarkable ways…
ChatGPT, BARD, and Other Large Language Models Meet Regulated Pharma
ChatGPT and other large language models are positioned to change the world. They can also shift…
The Road to Explainable AI in GXP-Regulated Areas
Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with…
Applying GAMP® Concepts to Machine Learning
This article explores life-cycle activities for machine learning (ML) within regulated life sciences…
AI Maturity Model for GxP Application: A Foundation for AI Validation
Artificial intelligence (AI) has become one of the supporting pillars for digitalization in many…
