generating, by the artificial intelligence engine, a machine learning model trained to receive the one or more measurements as input;

outputting, based on the one or more measurements, a control instruction that causes the control action to be performed;

receiving the one or more measurements from the wearable device being worn by a user;

determining, based on a desired physical activity to be performed by the user subsequent to completing an interval training session, a desired target zone, wherein determining the desired target zone includes determining one or more attainment levels for physical abilities of the user for the user to be able to perform the desired physical activity;

determining whether the one or more measurements indicate, during the interval training session, that one or more characteristics of the user are within the desired target zone;

responsive to determining that the one or more measurements indicate the one or more characteristics of the user are not within the desired target zone during the interval training session, performing the control action, wherein the control action comprises updating a resistance force of a cycling machine;

receiving data associated with the user; and

based on (i) the data, (ii) the one or more measurements, (iii) a history of user conditions identified based on one or more prior interval training sessions undertaken by the user or data associated with prior users, and (iv) the one or more measurements of the user during the one or more prior interval training sessions or the data associated with the prior users, predicting, via the machine learning model, a medical condition associated with the user.