Pharma’s reliance on long-form documents and manual versioning cannot keep pace with global complexity. Read More
Pharma & Lifesciences
AI-Powered Translation and Localization in Pharma Content Operations
AI-powered translation—guided by structured content and domain expertise, offers a practical and sustainable path forward. Read More
How AI in Clinical Data Analysis Is Shaping Scientific Narratives
How AI in clinical data analysis helps pharma teams transform trial data into clear, compliant, and compelling scientific narratives. Read More
Real-World Evidence in Drug Development: From Regulatory Hurdle to Competitive Advantage
Pharma teams now use AI tools to find high-yield patient cohorts, model trial scenarios, and improve inclusion/exclusion criteria. This enables lower trial costs, fewer protocol modifications, and quicker recruitment.
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A Prescription for Democratizing Pharmaceutical Data
Straive enables pharma companies to achieve true data democratization by providing advanced data solutions that ensure seamless access. Read More
Part 2: How Generative AI is Transforming Regulatory Submissions in Pharma R&D
In Part 2, we explore how Generative AI can revolutionize regulatory submissions in pharmaceutical R&D, addressing data management, compliance, and collaboration challenges while acknowledging the transformation’s inherent complexities and obstacles.
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What Are the Top 9 Use Cases of GenAI in Pharma Translation?
In pharmaceuticals, translation can be the difference between trust and turmoil. In today’s globalized and heavily regulated pharmaceutical landscape, accurate pharma translation ensures compliance, safety, and effective communication across borders.
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The Ethics of AI in Peer Review: Ensuring Fairness and Transparency in Academic Publishing
As AI technologies advance, their applications expand across diverse fields like academic publishing, augmenting the traditionally manual, expert-driven peer review process with AI tools to enhance efficiency, accuracy, and decision-making. Read More
GenAI-Powered Translation for Pharma and Life Sciences
AI-driven approaches are now the top choice for pharmaceutical companies looking to enhance efficiency and streamline global communication, ensuring consistency, accuracy, and greater speed across international operations and regulatory environments. Read More
Part 1: How to Decode Regulatory Submissions in Pharma R&D?
Each region, including the U.S. (FDA), the European Union (EMA), and others, has specific submission requirements, making the process more complex due to varying content and structure guidelines across jurisdictions. Read More