A system configured to receive health data pertaining to a user; select a user health profile from a plurality of user health profiles based on the collected health data, each of the plurality of user health profiles being associated with a health and wellness program and a set of interventions; receive user activity data and updated health data pertaining to, or during the user's participation in the associated health and wellness program from health devices; select a new set of interventions based on the user activity data; and select a new user health profile from the plurality of user health profiles based on at least one of the user activity data and the updated health data.

A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry acquires a medical image of a lung field of a patient, identifies anatomical regions constituting the thorax of the patient based on the medical image, estimates a respiratory state when the medical image has been captured based on the anatomical regions, and executes processing based on the respiratory state.

A method includes obtaining training data for a plurality of patients of a patient population. The training data includes training blood glucose history data including treatment doses of insulin administered by the patients of the patient population and one or more outcome attributes associated with each treatment dose. The method also includes identifying, for each patient of the patient population, one or more optimum treatment doses of insulin from the treatment doses yielding favorable outcome attributes. The method also includes receiving patient-state information for the treated patient, determining a next recommended treatment dose of insulin for the treated patient based on one or more of the identified optimum treatment doses associated with the patients of the patient population having training patient-state information similar to the patient-state information for the treated patient, and transmitting the next recommended treatment dose to a portable device associated with the treated patient.

A method includes obtaining training data for a plurality of patients of a patient population. The training data includes training blood glucose history data including treatment doses of insulin administered by the patients of the patient population and one or more outcome attributes associated with each treatment dose. The method also includes identifying, for each patient of the patient population, one or more optimum treatment doses of insulin from the treatment doses yielding favorable outcome attributes. The method also includes receiving patient-state information for the treated patient, determining a next recommended treatment dose of insulin for the treated patient based on one or more of the identified optimum treatment doses associated with the patients of the patient population having training patient-state information similar to the patient-state information for the treated patient, and transmitting the next recommended treatment dose to a portable device associated with the treated patient.

A computer-implemented method for creating an activity-optimized cutting guides for surgical procedures includes receiving one or more pre-operative images depicting one or more anatomical joints of a patient, and creating a three-dimensional anatomical model of the one or more anatomical joints based on the one or more pre-operative images. One or more patient-specific anatomical measurements are determined based on the three-dimensional anatomical model. A statistical model of joint performance is applied to the patient-specific anatomical measurements to identify one or more cut angles for performing a surgical procedure. A patient-specific cutting guide is created that comprises one or more apertures positioned based on the one or more cut angles.

A method including retrieving an information for a subject, the information comprising a disease of the subject, a subject condition, and a previous condition. The method includes parsing a contract between a provider and a payor to identify a measurable value and identifying a contract success factor and a social determinant for the disease in the subject based on the subject condition, the measurable value, the previous condition, and the contract. The method also includes identifying multiple options available for the provider in a treatment of the disease in the subject. The method also includes identifying an expected condition based on the performance parameter and on the disease of the subject, and providing a recommendation to the provider for an action to improve the expected condition. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

A method including retrieving an information for a subject, the information comprising a disease of the subject, a subject condition, and a previous condition. The method includes parsing a contract between a provider and a payor to identify a measurable value and identifying a contract success factor and a social determinant for the disease in the subject based on the subject condition, the measurable value, the previous condition, and the contract. The method also includes identifying multiple options available for the provider in a treatment of the disease in the subject. The method also includes identifying an expected condition based on the performance parameter and on the disease of the subject, and providing a recommendation to the provider for an action to improve the expected condition. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

A peristaltic pump, and related method, are disclosed that includes a cam shaft, a plunger-cam follower, a tube receiver, a spring, a plunger, a door, and a plunger lift lever. The cam shaft includes a plunger cam. The plunger-cam follower engages with the plunger cam of the cam shaft. The spring provides a bias and the plunger is biased toward the tube receiver by the spring. The plunger is coupled to the plunger-cam follower where expansion of the plunger cam along a radial angle intersecting the plunger-cam follower as the cam shaft rotates actuates the plunger away from the tube receiver. The door lever can be actuated between a first position and a second position. The plunger lift lever is coupled to the door lever to actuate the plunger away from the tube receiver when the door lever is actuated to the second position.

A peristaltic pump, and related method, are disclosed that includes a cam shaft, a plunger-cam follower, a tube receiver, a spring, a plunger, a door, and a plunger lift lever. The cam shaft includes a plunger cam. The plunger-cam follower engages with the plunger cam of the cam shaft. The spring provides a bias and the plunger is biased toward the tube receiver by the spring. The plunger is coupled to the plunger-cam follower where expansion of the plunger cam along a radial angle intersecting the plunger-cam follower as the cam shaft rotates actuates the plunger away from the tube receiver. The door lever can be actuated between a first position and a second position. The plunger lift lever is coupled to the door lever to actuate the plunger away from the tube receiver when the door lever is actuated to the second position.

The methods, apparatuses, computer-readable media, and systems described enable regions of electromagnetic spectra that may distinguish different biological specimens to be determined. Regions of electromagnetic spectra that distinguish known biological specimens then become candidates for methods to classify unknown specimens and/or make a medical diagnosis. A fraction-product, determined from two arrays associated with two groups, may be used to determine optimal discriminants for the two groups given numerical measurements of particular properties of the members of both groups.