Abstract: The present disclosure includes systems and methods for determining candidates for clinical trials from unstructured clinical trial protocols associated with the clinical trial and medical records of patients based on machine learning, natural language processing or both. The systems and methods of the present disclosure can extract tokens from unstructured clinical trial protocols based on Natural Language Processing (NLP) and determine clinical trial criteria. The systems and methods of the present disclosure can determine clinical indications from the medical data associated with the patients using natural language processing and determine whether the clinical indications match the clinical trial criteria and determine a probability that the patients meet the clinical trial criteria based on a crosswalk matching and determine candidates for clinical trial from the patients based on the determined probability.

Abstract: A mixture of ester based chemicals applied to shoes for the purpose of improving performance in the normal use of the shoe. The mixture is applied to a surface of the shoes and allowed to penetrate the material forming the surface of the shoe. When applied to the sole of a shoe, the esters in the material will alter bulk properties of the shoe sole to alter the adhesion of the shoe to a traversed surface, the operative life of the shoe, the shoe performance and the shoe hardness. The mixture is especially suited for application to previously manufactured climbing shoes.