And clinical trial participants should reflect the demographics of the patients who receive those therapies. However, while many diseases disproportionately impact ethnic minorities, these minority groups are often underrepresented in clinical research. This is where our software is invaluable and helps to overcome such barriers in clinical trials. Using AI methods like natural language processing (NLP) and machine learning, we can reduce biases and reach new communities to precision-match patients for trials. These methods can help increase diversity, equity and inclusion while providing access to life saving treatments.