Abstract: The present disclosure provides platforms, systems, media, and methods for capturing clinical cases and expert-derived treatment rationales to facilitate biomedical decision making, which can include virtual clinical trials that continuously learn from the experiences of all patients, on all treatments, and all the time. Algorithms such as Bayesian machine learning methods can be applied to coordinate such virtual trials.

Abstract: The present disclosure provides platforms, systems, media, and methods for capturing clinical cases and expert-derived treatment rationales to facilitate biomedical decision making, which can include virtual clinical trials that continuously learn from the experiences of all patients, on all treatments, and all the time. Algorithms such as Bayesian machine learning methods can be applied to coordinate such virtual trials.

Abstract: In an aspect, the present disclosure provides a system comprising a computer processor and a storage device having instructions stored thereon that are operable, when executed by the computer processor, to cause the computer processor to: (i) receive clinical data of a subject and a set of treatment options for a disease or disorder of the subject, wherein the set of treatment options corresponds to clinical outcomes having future uncertainty; (ii) access a prediction module comprising a trained machine learning model that determines probabilistic predictions of clinical outcomes of the set of treatment options based at least in part on clinical data of test subjects; and (iii) apply the prediction module to at least the clinical data of the subject to determine probabilistic predictions of clinical outcomes of the set of treatment options.

Abstract: The present disclosure provides platforms, systems, media, and methods for capturing clinical cases and expert-derived treatment rationales to facilitate biomedical decision making, which can include virtual clinical trials that continuously learn from the experiences of all patients, on all treatments, and all the time. Algorithms such as Bayesian machine learning methods can be applied to coordinate such virtual trials.