Let’s take a look at a tangible use case like AI-driven marketing content generation. At Straive, we have worked with renowned pharma companies to accelerate their marketing strategy. Read More
Author Archives: Santosh Shevade
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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The Future of Pharma Launches: How AI Improves Market Outcomes, Speed, and Precision
Most critical decisions will be outcome-driven, human-validated, and informed by AI, even though not all will be automated. Teams’ responsibilities will change from carrying out tasks to managing intelligent systems and directing strategies. Read More
Part 3: How to Automate Drug Development with an AI-Native Approach?
At Straive, we have guided global pharma clients beyond pilot projects and digital token efforts to fully integrate AI-powered ecosystems, such as cutting costs, timelines, and manual friction across the clinical value chain. Read More
Part 2: How to Automate Drug Development with an AI-Native Approach?
An integrated platform intended for innovation and large-scale, production-grade deployment powers everything covered thus far. Straive’s AI-Native stack goes beyond modeling; it’s a full-fledged ecosystem purpose-built for pharma.
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Part 1: How to Automate Drug Development with an AI-Native Approach?
Despite significant medical and technological advances, drug development is still incredibly inefficient. Bringing a single drug to market costs over USD 2.6 billion and takes 10–15 years, with 90% of candidates. Read More
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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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
Anonymization Meets AI: How LLMs Enhance AInonymize and AInonymize Lite?
Explore how AInonymize and AInonymize Lite enhance speed, efficiency, and cost savings while improving data anonymization accuracy and ensuring compliance with regulations, providing robust solutions for businesses of all sizes. Read More