Our perspective on AL/ML in the life sciences industry.
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
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
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
