Abstract: The present disclosure relates to a digital medicine companion for patients undergoing oncology treatments. A patient may enter symptoms on a prescription software. A wearable device may passively collect other healthcare data such as biological data and/or physical activity data. The patient may therefore be monitored using the prescription software and/or wearables. Furthermore, the prescription software may be integrated with biofluid testing systems. For example, an at-home biofluid monitoring kit and/or a laboratory system may communicate with the prescription software and/or its backend server. The healthcare data collected through the monitoring and the biofluid testing may be fed into a machine learning model, which may output whether the patient is likely to develop side effects such as cytopenia. One or more alert notifications, e.g., to a clinician dashboard and/or to the prescription software, may be triggered when the machine learning model determines a higher likelihood of such side effects.

Abstract: Embodiments disclosed herein may provide digital medicine support for predicting and mitigating side effects of bispecific antibody treatment (e.g., Pfizer's Elranatamab) for myeloma patients. The side effects may include cytokine release syndrome (CRS), infection (e.g., sepsis), neurotoxicity (e.g., peripheral neuropathy), cytopenia (e.g., neutropenia), etc. These side effects may be predicted based on passive collection of data from patient wearables, patient entered data on healthcare application, and other data such as bloodwork data. Trained machine learning models may be used for predicting the side effects. As the side effects may be predicted before their onsets, a proactive intervention may be feasible to improve the healthcare outcomes for myeloma patients.

Abstract: A method and apparatus suitable for producing an artificial snow surface for tire evaluation is provided. The process provides for manufacturing a series of snow layers, each layer followed by a packing and a grooming step to provide a multi-layered snow surface. Desirable shear strength properties of the snow surface are enhanced by a surface grooming technique that applies a layer of water to the upper snow surface followed by grooming of the surface. The manufactured snow surface allows the testing and evaluation of tires that compares favorably to tire evaluation data obtained from outdoor testing facilities.

Abstract: The present invention provides an apparatus for the supply of air for the treatment of sleep apnea. The apparatus of the present invention includes a motor and a fan unit. The motor and fan unit are enclosed in an inner case of flexible foam plastics material. The inner case is configured to contain the motor and the fan unit, and the inner case 48 is generally biased against the motor and the fan unit. The inner case is, in turn, contained within an intermediate case made of rigid material. The intermediate case conforms to and is substantially filled by the inner case such that the inner case is generally biased against the intermediate case. Finally, the intermediate case is contained within an outer case of rigid material. The outer case surrounds the intermediate case. The outer case is generally set apart from the intermediate case so that there is a gap between the intermediate case and the outer case.

Abstract: A method and apparatus suitable for producing an artificial snow surface for tire evaluation is provided. The process provides for manufacturing a series of snow layers, each layer followed by a packing and a grooming step to provide a multi-layered snow surface. Desirable shear strength properties of the snow surface are enhanced by a surface grooming technique that applies a layer of water to the upper snow surface followed by grooming of the surface. The manufactured snow surface allows the testing and evaluation of tires that compares favorably to tire evaluation data obtained from outdoor testing facilities.