Wearable companion for detecting the cytokine release syndrome

A computer-implemented method comprising:

• retrieving, after a treatment, a first health data entered by a patient on a prescribed application being executed by a patient computing device;
• retrieving, after the treatment, a second health data passively collected by a prescribed wearable device;
• deploying a machine learning model on the first health data and the second health data to determine whether the patient will likely experience an adverse health condition;
• and
• in response to the determination that the patient will likely experience the adverse health condition, triggering a notification on a clinician dashboard.

A system comprising:

• one or more processors;
• and
• a non-transitory storage medium storing computer program instructions that when executed by the one or more processors cause the system to perform operations comprising:
• retrieving a first health data entered by a patient, undergoing bispecific antibody treatment, on a prescribed application being executed by a patient computing device;
• retrieving a second health data passively collected by a prescribed wearable device worn by the patient;
• deploying a machine learning model on the first health data and the second health data to determine whether the patient will likely experience an adverse health condition;
• and
• in response to the determination that the patient will likely experience the adverse health condition, triggering one or more notifications.