Webinar | Why 95% of AI Projects Stall – and How Agentic AI Changes the Game
The stakes in clinical research have never been higher. While breakthrough treatments show tremendous promise, the reality is sobering: bringing a single drug to market
Clinical trials are under more pressure than ever to move fast; yet documentation remains a stubborn bottleneck. According to the NIH, documentation delays contribute to
Healthcare data generates an astonishing 30% of the world’s total data, yet 80% of it remains unstructured- trapped in clinical notes, research papers, and disparate
The European Union recently released its comprehensive AI Act, marking a watershed moment as the world’s first-ever legal regulatory framework specifically designed to govern artificial
Clinical trials have long been a critical, but complex and costly part of drug development. However, with the rise of Artificial Intelligence (AI) & Machine
Artificial Intelligence (AI) and Machine Learning (ML) have become key players in reshaping how we develop drugs, but with this potential comes the critical need
Generative AI (GenAI) holds enormous potential across a wide range of use cases in the clinical development space, but its tendency to hallucinate must be
In an industry as dynamic and complex as life sciences, the need for technological innovation is constant. With the increasing demand for faster clinical trials
Taking a closer look at hallucinations, why they occur, and how to limit them, especially if you’re in the process of training an AI model.
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