Kognitic’s AI Model Revolutionizes Primary Completion Date Predictions for Clinical Trials | PR Newswire [Video]

A newly published study shows Kognitic’s AI reduces clinical trial primary completion date prediction errors from 508 to 179 days, transforming pharmaceutical planning accuracy.

, /PRNewswire/ — A study published in Foresight demonstrates that Kognitic’s neural network model significantly outperforms traditional methods in predicting primary completion dates (PCD) for clinical trials, potentially saving pharmaceutical companies millions in development costs. The research shows that sponsors’ initial PCD estimates deviate by a median of 508 days, while Kognitic’s AI model reduces this error to just 179 days.

The study, titled “Neural Network Models to Predict Clinical Trial Completion,” details how the model analyzes data from over 60,000 oncology clinical trials to provide more accurate PCD predictions. This breakthrough has significant implications for drug development, where PCD delays can cost pharmaceutical companies between $600,000 to $8 million per day.

Several leading pharmaceutical companies have integrated Kognitic’s PCD prediction model into their competitive intelligence and timeline management processes through SaaS subscriptions. The platform …