Latest posts

  • The EU AI Act and Pharma Compliance: What Life Sciences Companies Need to Know

    The EU AI Act and Pharma Compliance: What Life Sciences Companies Need to Know

    The EU AI Act is reshaping how pharmaceutical and life sciences companies develop and deploy AI — from clinical trials to diagnostics. As the world’s first comprehensive AI regulation, it introduces strict rules around risk classification, human oversight, and audit trails. If your company is building AI-powered tools or seeking approval in the EU and…

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  • FDA AI Food Safety: How ELSA is Changing Import Oversight

    FDA AI Food Safety: How ELSA is Changing Import Oversight

    Summary:FDA ELSA AI food safety efforts mark a turning point in how the agency screens food imports, using machine learning to flag high-risk shipments. In June 2025, the FDA announced the agency-wide launch of a powerful new AI tool named ELSA (Enhanced Learning and Surveillance Algorithm). Designed to improve how the FDA screens imported foods,…

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  • FDA’s 2025 Draft Guidance on AI in Drug Development: What It Means for Biopharma

    FDA’s 2025 Draft Guidance on AI in Drug Development: What It Means for Biopharma

    AI in drug development is rapidly transforming how therapies are discovered, tested, and submitted for approval—but until now, regulatory guidance has struggled to keep up. That changed in January 2025, when the U.S. Food and Drug Administration (FDA) published its first-ever draft guidance focused on the use of AI to support regulatory decision-making in the…

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  • How the FDA Is Quietly Rewriting the Rules for AI in Healthcare

    How the FDA Is Quietly Rewriting the Rules for AI in Healthcare

    FDA AI regulation in healthcare is undergoing a major transformation. The U.S. Food and Drug Administration is quietly reshaping how artificial intelligence is governed in medicine — a shift that could influence everything from how your doctor diagnoses illness to how your Apple Watch monitors your heart. AI has already become a powerful force in…

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  • Agentforce in Life Sciences: AI Use Cases in Pharma and Medtech

    Agentforce in Life Sciences: AI Use Cases in Pharma and Medtech

    Agentforce applies AI-driven “digital labor” to life sciences workflows, helping scientists and field teams spend less time on manual tasks.The life sciences industry – spanning pharmaceutical, biotech, and medical device companies – is embracing Salesforce Agentforce to drive efficiency and innovation. Agentforce is an “agentic” AI platform that allows organizations to deploy autonomous AI agents…

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  • Veeva AI vs. Salesforce Agentforce: The Life Sciences AI Battle Is Heating Up

    Veeva AI vs. Salesforce Agentforce: The Life Sciences AI Battle Is Heating Up

    On April 29, 2025, Veeva Systems unveiled Veeva AI, a long-anticipated move that signals its response to Salesforce’s expanding AI footprint in life sciences. With Salesforce preparing to launch Life Sciences Cloud powered by Agentforce, Veeva’s announcement arrives at a critical moment — reigniting the race to define the future of intelligent automation in pharma…

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  • Inside Johnson & Johnson’s AI Strategy in Pharma: Lessons for the Life Sciences Industry

    Inside Johnson & Johnson’s AI Strategy in Pharma: Lessons for the Life Sciences Industry

    As AI strategy in pharma evolves, one of the world’s largest pharmaceutical companies, Johnson & Johnson, offers a real-world look at how AI is being integrated strategically and operationally at scale. Over the course of a year, J&J ran nearly 900 AI experiments across the organization. What they found: about 10–15% of use cases drove…

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  • AI in Drug Discovery: Solving the Industry’s Most Critical Challenges

    AI in Drug Discovery: Solving the Industry’s Most Critical Challenges

    AI in drug discovery is transforming how pharma tackles delays, cost, and failure rates. Drug discovery is one of the most resource-intensive and high-risk processes in the life sciences industry. Despite decades of innovation, it still takes 10 to 15 years and billions of dollars to bring a single new drug to market. With more…

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  • Breakthrough AI Innovations in Life Sciences: From Discovery to Delivery

    AI in life sciences is driving a seismic shift across the industry — transforming how organizations discover drugs, conduct trials, and support patients. No longer a futuristic concept, AI is now embedded throughout the value chain — streamlining research, accelerating development, improving communication, and enabling smarter, faster decision-making. In this post, we explore how AI…

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