Abstract: A method for enrolling patient candidates in a clinical trial includes generating first prediction data indicating predicted progression of a condition for a first group of patients that participated in a first clinical trial using a predictive model and clinical data associated with the first group of patients; grouping clinical trial data into subsets based on the first prediction data; analyzing each subset of clinical trial data to generate a measure of efficacy of the treatment; establishing screening criteria for a second clinical trial by identifying at least one subset that has a measure of efficacy that is higher than a measure of efficacy of the treatment for the full first group of patients; receiving clinical data of a candidate for the second clinical trial; generating second prediction data for the candidate; and enrolling the candidate in the second clinical trial when the second prediction data satisfies the screening criteria.

Abstract: A method for enrolling patient candidates in a clinical trial includes generating first prediction data indicating predicted progression of a condition for a first group of patients that participated in a first clinical trial using a predictive model and clinical data associated with the first group of patients; grouping clinical trial data into subsets based on the first prediction data; analyzing each subset of clinical trial data to generate a measure of efficacy of the treatment; establishing screening criteria for a second clinical trial by identifying at least one subset that has a measure of efficacy that is higher than a measure of efficacy of the treatment for the full first group of patients; receiving clinical data of a candidate for the second clinical trial; generating second prediction data for the candidate; and enrolling the candidate in the second clinical trial when the second prediction data satisfies the screening criteria.

Abstract: A method for enrolling patient candidates in a clinical trial includes generating first prediction data indicating predicted progression of a condition for a first group of patients that participated in a first clinical trial using a predictive model and clinical data associated with the first group of patients; grouping clinical trial data into subsets based on the first prediction data; analyzing each subset of clinical trial data to generate a measure of efficacy of the treatment; establishing screening criteria for a second clinical trial by identifying at least one subset that has a measure of efficacy that is higher than a measure of efficacy of the treatment for the full first group of patients; receiving clinical data of a candidate for the second clinical trial; generating second prediction data for the candidate; and enrolling the candidate in the second clinical trial when the second prediction data satisfies the screening criteria.

Abstract: A method for enrolling patient candidates in a clinical trial includes generating first prediction data indicating predicted progression of a condition for a first group of patients that participated in a first clinical trial using a predictive model and clinical data associated with the first group of patients; grouping clinical trial data into subsets based on the first prediction data; analyzing each subset of clinical trial data to generate a measure of efficacy of the treatment; establishing screening criteria for a second clinical trial by identifying at least one subset that has a measure of efficacy that is higher than a measure of efficacy of the treatment for the full first group of patients; receiving clinical data of a candidate for the second clinical trial; generating second prediction data for the candidate; and enrolling the candidate in the second clinical trial when the second prediction data satisfies the screening criteria.

Abstract: A method for enrolling patient candidates in a clinical trial includes generating first prediction data indicating predicted progression of a condition for a first group of patients that participated in a first clinical trial using a predictive model and clinical data associated with the first group of patients; grouping clinical trial data into subsets based on the first prediction data; analyzing each subset of clinical trial data to generate a measure of efficacy of the treatment; establishing screening criteria for a second clinical trial by identifying at least one subset that has a measure of efficacy that is higher than a measure of efficacy of the treatment for the full first group of patients; receiving clinical data of a candidate for the second clinical trial; generating second prediction data for the candidate; and enrolling the candidate in the second clinical trial when the second prediction data satisfies the screening criteria.

Abstract: A method for enrolling patient candidates in a clinical trial includes generating first prediction data indicating predicted progression of a condition for a first group of patients that participated in a first clinical trial using a predictive model and clinical data associated with the first group of patients; grouping clinical trial data into subsets based on the first prediction data; analyzing each subset of clinical trial data to generate a measure of efficacy of the treatment; establishing screening criteria for a second clinical trial by identifying at least one subset that has a measure of efficacy that is higher than a measure of efficacy of the treatment for the full first group of patients; receiving clinical data of a candidate for the second clinical trial; generating second prediction data for the candidate; and enrolling the candidate in the second clinical trial when the second prediction data satisfies the screening criteria.