Abstract: A model-assisted system for identifying candidates for a cohort based on a biomarker may include at least one processor. The processor may be programmed to access a database from which information associated with a population of individuals can be derived; provide, to a generalized biomarker model, a first biomarker associated with a cohort, the generalized biomarker model being trained based on one or more second biomarkers using the information, wherein the first biomarker is different from the one or more second biomarkers; receive, from the generalized biomarker model, a first output indicating a first group of the population of individuals exceeding a first likelihood threshold of having been tested for the first biomarker; and determine, based on the first output, whether an individual from among the first group of the population of individuals is a candidate for the cohort.

Abstract: A model-assisted selection system for predicting a date of an event relating to a patient may include at least one processor configured to obtain a medical record including a plurality of unstructured documents and obtain a model for predicting the date of the event. The at least one processor may further be configured to input the medical record into the model and assign, for each of the plurality of unstructured documents, a label from the model among a pre-event label, a mid-event label, a post-event label, and a non-event label. The at least one processor may also be configured to predict a start date of the event based on the labels of the plurality of unstructured documents and output the predicted start date.