Abstract: Approaches for generating predictions related to a set of input text are provided. Text can be received. A machine learning model can be utilized to determine a set of classification probabilities of the text relative to a set of anchor points. A sentiment score indicative of an emotional content of the text can be determined based, at least in part, upon a convex combination of the set of probabilities for the text. One or more predictions related to the text can be generated.

Abstract: Approaches for predicting a response to an administered therapy are provided. One or more recordings of a session related to an administered therapy may be transcribed into one or more transcripts. The transcripts may be parsed into utterances. An utterance sentiment may be determined for individual utterances, and a response to the administered therapy may be predicted based, at least in part, upon the utterance sentiment.

Abstract: Approaches for generating a set of biomarkers and generating a summary and one or more recommendations based, at least in part, upon the biomarkers are provided. Sensor data associated with a user may be received. The sensor data may be analyzed to generate a set of biomarkers. One or more biomarkers of the set may be combined to generate one or more additional biomarkers. A summary and one or more recommendations may be generated based, at least in part, upon the generated set of biomarkers and the additional biomarkers. The generated summary and the one or more recommendations may be provided for display on a client device.

Abstract: Approaches for transcribing, translating, reviewing, tagging, and providing analytics for therapist sessions are provided. A media file that captures one or more interactions between one or more providers and a recipient of a service may be obtained. A transcript of at least a portion of the one or more interactions captured in the audio file may be generated. Using machine learning, a plurality of analytics may be inferred based, at least in part, upon content contained in the transcript. One or more biomarkers for the recipient may be determined based, at least in part, upon the plurality of analytics. A predicted response to the service to provide for display may be generated based, at least in part, upon the one or more biomarkers and the plurality of analytics.

Abstract: Approaches for providing a real time bioadaptive stimulus environment with audio, visual, and olfactory components to enhance psychedelic therapy are provided. A virtual bioadaptive environment may be provided for experience by a user. Sensor data associated with the user may be received. The sensor data may be analyzed using at least one machine learning model to determine changes to a user state. Based at least in part upon the analyzed sensor data, modifications to be made to the virtual bioadaptive environment may be determined. A modified virtual bioadaptive environment may be provided to the user.