AIquitas is a groundbreaking solution developed to address the significant disparities in clinical trial participation and its impact on diverse populations.

Patient-Centered Approach:

AIquitas places patients at the forefront by leveraging advanced Machine Learning (ML) and Natural Language Processing (NLP) techniques to parse clinical trial criteria and patient billing codes. This enables AIquitas to suggest eligible clinical trials to patients and their healthcare providers based on a calculated compatibility score, ensuring a personalized and patient-centric approach to trial participation.

Streamlined Recruitment Process:

AIquitas streamlines patient recruitment by intelligently matching patients with appropriate clinical trials. By automating and optimizing this critical aspect, AIquitas saves researchers, healthcare providers, and patients time and resources, ensuring efficient trial enrollment.

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Addressing Disparities and Bias: 

AIquitas also provides capabilities for analyzing patient demographics for any trial, allowing for explainable findings and potential improvements in trial language for clinical trial researchers and regulatory agencies. By tackling the persistent underrepresentation of marginalized and underrepresented communities in clinical trials, AIquitas aims to rectify the biases and limitations that arise from the lack of diversity in collected data.