Pattern Sciences

Pattern Sciences is an artificial intelligence research lab that specializes in extracting real-world evidence (RWE) from observational real-world data (RWD) found in healthcare systems. Their proprietary modeling engine uses causal and Bayesian inference along with advanced machine learning to support clinical research, drug discovery, and post-market drug surveillance. The company aims to match the gold standard of Randomized Clinical Trials by establishing causal inference and rigor in population equivalency.

The business offers synthetic single-arm control arm trials to eliminate the need for traditional placebo groups, allowing all participants to receive treatment. They also facilitate direct head-to-head drug comparisons and post-market synthetic superiority trials to demonstrate efficacy and safety for drug label extensions without additional traditional clinical trials.

Gilead Sciences has wholeheartedly supported Pattern Sciences' proposed studies, specifically including a comparison of two FDA-approved oral HIV Pre-Exposure Prophylaxis therapies, Truvada and Descovy.

Their modeling engine incorporates data streams from electronic health records (EHRs), claims, registries, digital devices, and decentralized trials. The engine also utilizes historical control data, real-world data, and companion data sets to characterize existing data and identify key triggers in the patient journey.

The company utilizes proprietary research in causal and Bayesian inference combined with advanced machine learning techniques. They handle high-dimensional data including structured, semi-structured, and unstructured features to identify key triggers in the patient journey that drive actions and interventions.

Their methods aim to reduce time to market, cost, and bring more insights before human trials as well as optimize Phase 3 Trials and post-market drug surveillance. They also help with intervention design and drug discovery by establishing causal inference and rigor in population equivalency.

Their analysis tracks patient engagement, medication adherence, and other key outcome drivers by identifying key triggers in the patient journey. The results of these actions are tracked to improve patient engagement and provide real-time tracking and understanding of patient cohorts.

They work with high-dimensional data including structured, semi-structured, and unstructured features. Current tools and platforms are described as challenging to use and fall short in meeting the needs of pharma for this specific type of data explosion.

Existing RWE methods are described as ill-suited for the explosion of high-dimensional and unstructured data. Pattern Sciences creates advanced analysis methods to characterize this data, including the generation of companion data sets to eliminate the need for traditional placebo groups.

Reviewers consistently praise the team's deep understanding of data analysis and their ability to provide valuable insights that are instrumental in decision-making processes. They are also noted for their professionalism, attention to detail, and dedication to delivering high-quality results that exceed expectations.

Clients have used the company for data analysis needs, project work requiring data analysis and insights, and solving complex challenges. The team is described as highly skilled and professional, often going above and beyond to ensure business needs are met.

The Trustburn rating is 4 out of 5 from 10 reviews. The most recent review was posted on November 26, 2023, and the oldest was posted on January 20, 2023, showing a consistent stream of feedback over the last year.

They refer to their approach as establishing causal inference and rigor in population equivalency to match the gold standard of Randomized Clinical Trials (RCT). They also mention using synthetic single-arm control arm trials and direct head-to-head drug comparisons.

The modeling engine incorporates data streams from EHRs, digital devices, and previous trials to identify key triggers in the patient journey. This allows for real-time tracking and understanding of patient cohorts, which can be incorporated into digital platforms to improve patient engagement and medication adherence.

You can reach Pattern Sciences by e-mail at [email protected].