A method for autonomously generating a care plan personalized for a patient is disclosed. The method includes receiving a selection of a type of the care plan to implement for the patient, generating the care plan based on the type selected, wherein the care plan includes an action instruction based on a patient graph of the patient and a knowledge graph including ontological medical data, receiving patient data that indicates health related information associated with the patient, modifying the care plan to generate a modified care plan in real-time or near real-time based on the patient data, and causing the modified care plan to be presented on a computing device of a medical personnel.

The present disclosure relates to a system for providing customized cosmetics by using genetic information, the system comprising: a terminal that receives user information related to a user; a genetic/medical information server that stores genetic information related to the user; a skin meter that acquires skin information on the user; and a cosmetic manufacturing system that manufactures cosmetics by discharging at least one cosmetic material, wherein the cosmetic manufacturing system can select a cosmetic material to be discharged on the basis of at least one among the user information, the genetic information, and the skin information.

A state of a cognitive function can be determined by using biological information measured as part of daily healthcare management. A biological information acquisition device includes a cognitive function test unit for testing a cognitive function, a biological information acquisition unit for performing biological information acquisition processing for acquiring biological information of a user, and a cognitive function determination unit for determining a state of the cognitive function, wherein the cognitive function determination unit determines the state of the cognitive function based on a result of the cognitive function test and the biological information acquired from the user.

A state of a cognitive function can be determined by using biological information measured as part of daily healthcare management. A biological information acquisition device includes a cognitive function test unit for testing a cognitive function, a biological information acquisition unit for performing biological information acquisition processing for acquiring biological information of a user, and a cognitive function determination unit for determining a state of the cognitive function, wherein the cognitive function determination unit determines the state of the cognitive function based on a result of the cognitive function test and the biological information acquired from the user.

A system and method for assessing disease progression receives digital health data about patients over a network from a plurality of diagnostic instruments, IoT devices, analytical software, systems, and electronic health records. Electronic Patient Reported Outcome (PRO) questionnaires are created by clinicians and periodically administered to patients on a remote computing device. The PROs and other digital health data are processed, analyzed, and scored in real time. Digital reports including the scores and other health metrics are instantaneously generated providing valuable hidden insights into disease progression and treatment efficacies in real-time. A clinical advisor generates an interactive dashboard comprising comprehensive information about patients and enables doctors to validate their clinical decisions and discover new treatment protocol idea. Reports useful for other industries may also be generated, such as for pharmaceutical companies, insurance companies, medical researchers, and regulatory agencies.

A system and method for assessing disease progression receives digital health data about patients over a network from a plurality of diagnostic instruments, IoT devices, analytical software, systems, and electronic health records. Electronic Patient Reported Outcome (PRO) questionnaires are created by clinicians and periodically administered to patients on a remote computing device. The PROs and other digital health data are processed, analyzed, and scored in real time. Digital reports including the scores and other health metrics are instantaneously generated providing valuable hidden insights into disease progression and treatment efficacies in real-time. A clinical advisor generates an interactive dashboard comprising comprehensive information about patients and enables doctors to validate their clinical decisions and discover new treatment protocol idea. Reports useful for other industries may also be generated, such as for pharmaceutical companies, insurance companies, medical researchers, and regulatory agencies.

A system and method for providing sensory relief from distractibility, inattention, anxiety, fatigue, and/or sensory issues to a user in need. The user can be autistic/neurodiverse, or neurotypical. The system can be configured to connect to a datastore storing one or more sensory thresholds specific to a user of a wearable device of the system, the sensory thresholds selected from auditory, visual or physiological sensory thresholds; record, using one or more sensors of the wearable device, a sensory input stimulus to the user; compare the sensory input stimulus with the sensory thresholds to determine an intervention to be provided to the user, the intervention configured to provide the user relief from distractibility, inattention, anxiety, fatigue, or sensory issues; and provide the intervention to the user, the intervention comprising filtering, in real-time, an audio signal presented to the user or an optical signal presented to the user.

Systems and methods are disclosed for analyzing data from oncology treatments such as immune checkpoint inhibitor or radiotherapy therapies, including predicting adverse events of the oncology therapies, predicting objective response of the oncology therapies, predicting symptoms from the oncology therapies, and use of such predictions by technological implementations to achieve improved system and medical outcomes. An example technique for generating a predicted treatment outcome includes: receiving patient data for a human subject, which provides patient-reported outcomes collected from the human subject relating to a particular oncology treatment; processing the patient data with a trained artificial intelligence (AI) prediction model, which receives the patient data as input and produces a prediction of a treatment outcome as output; and outputting data to modify a treatment workflow of an oncology treatment for the human subject, based on the prediction of the treatment outcome.

An apparatus including a controller can determine a rate of change of a blood glucose level of a subject from blood glucose data and determine if there is a risk of the blood glucose level going high or low.

An apparatus including a controller can determine a rate of change of a blood glucose level of a subject from blood glucose data and determine if there is a risk of the blood glucose level going high or low.