Webinar | Why 95% of AI Projects Stall – and How Agentic AI Changes the Game
The ACDM AI/ML Conference, held from June 23- 24 2025 in Frankfurt, Germany, offered a reality check on where the life sciences industry truly stands
Life sciences companies today are dealing with more data than ever before. Beyond the traditional sources we’ve worked with for years, we now have real-world
Clinical trials are experiencing a major transformation. While the core goal remains bringing safe, effective treatments to patients, how we reach that goal is changing
When it comes to clinical trial data, consistency is everything. That’s where the Study Data Tabulation Model (SDTM), developed by the Clinical Data Interchange Standards
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
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
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
We’ll be covering the best practices for training AI models for life sciences, from data preparation to training methods, and more.
Today we’ll be looking at AI’s applicability across clinical data management (CDM) in life sciences and how it improves CDM as a business process. Artificial Intelligence
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