Our perspective on AL/ML in the life sciences industry.
Clinical trials are under tremendous pressure. Over the past decade, protocols have become more complex, regulatory requirements have tightened, and the cost of bringing a
Traditional data quality checks have served clinical research well for decades, catching obvious issues like missing fields and chronological errors. But as studies grow more
When racing to develop a COVID-19 vaccine, a top 20 pharmaceutical company partnered with Saama to tackle one of the most critical milestones in clinical
ADaM package generation has long been one of the most persistent bottlenecks in clinical development, often consuming over two months across specification creation, programming, and
Across the life sciences industry, conversations around AI validation tend to follow a familiar path. A team introduces an AI system that demonstrates 95% accuracy.
Clinical development has never been more advanced. We can stream biomarker data in real-time, interpret complex protocols using generative Artificial Intelligence (AI), and transform clinical
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 data teams know this challenge all too well- creating SDTM (Study Data Tabulation Model) specifications and programming deliverables can take upwards of 8 hours
