Abstract: The present invention relates to a method for increasing sun protection factor (SPF) of a UV filter composition, use of closed-cell metal oxide particles for increasing SPF of a UV filter composition and UV filter compositions comprising the closed-cell metal oxide particles.

Abstract: The present invention relates to a method for increasing sun protection factor (SPF) of a UV filter composition, use of hybrid metal oxide particles for increasing SPF of a UV filter composition and UV filter compositions comprising the hybrid metal oxide particles.

Abstract: Disclosed is a method for assessing a cognition and movement disease or disorder in a subject. In the method, a qualimetric activity parameter for cognition and/or fine motoric activity measurements is determined from a dataset of measurements obtained from the subject using a mobile device. The qualimetric activity parameter is compared to a reference and the disease or disorder is thereby assessed. A method identifying whether a subject will benefit from a therapy for a cognition and movement disease or disorder is also disclosed. The method can be carried out with a mobile device having a processor, a sensor and a database as well as software that carries out the method. Also disclosed is a system having a mobile device with a sensor and a remote device having a processor and a database and software that carries out the method for assessing a cognition and movement disease or disorder.

Abstract: A protective cap (1, 9, 12) for the partial covering of a pre-fitted or a fully fitted vehicle component (11). The protective cap (1, 9, 12) is made from a biogenic and/or renewable raw material.

Abstract: A method for automatically assessing information processing speed in a test subject is disclosed. In the inventive method, a first qualimetric activity parameter for sensorial transmission, cognition and motoric output activity is determined and a second qualimetric activity parameter for sensorial transmission and motoric output activity is determined. A third qualimetric activity parameter for cognition is determined by comparing the first and the second qualimetric activity parameters to each other, and the information processing speed in the test subject is assessed based on the first, second and third qualimetric activity parameters. The information processing speed can be determined by comparing the determined qualimetric activity parameters to a reference and the subject's cognitive impairment can then be determined from the processing speed. The inventive method can be computer implemented. A mobile device or system for carrying out the disclosed methods is also disclosed.

Abstract: Electronic devices comprising a doped dielectric material adjacent to a source contact, tiers of alternating conductive materials and dielectric materials adjacent to the doped dielectric material, and pillars extending through the tiers, the doped dielectric material, and the source contact and into the source stack. Related methods and electronic systems are also disclosed.

Abstract: Electronic devices comprising a doped dielectric material adjacent to a source contact, tiers of alternating conductive materials and dielectric materials adjacent to the doped dielectric material, and pillars extending through the tiers, the doped dielectric material, and the source contact and into the source stack. Related methods and electronic systems are also disclosed.

Abstract: Methods and systems for determining a location of an individual in a home, business, structure, or other finite amount of space using one or more beacons.

Abstract: The present invention relates to the field of diagnostics. Specifically, it relates to a method for assessing Huntington's disease of the pre-manifest stage in a subject comprising the steps of determining at least one performance parameter from a dataset of fine motoric measurements from said subject, comparing the determined at least one performance parameter to a reference, and assessing Huntington's disease of the pre-manifest stage in the subject based on said comparison. Yet, the invention contemplates a device and a system for carrying out the aforementioned methods and the use of such device or system for assessing Huntington's disease of the pre-manifest stage in the subject.

Abstract: The present invention relates to the field of disease tracking and potentially even diagnostics. Specifically, it relates to a method for predicting the total motor score (TMS) in a subject suffering from Huntington's Disease (HD) comprising the steps of determining at least one performance parameter from a dataset of measurements of central motor function capabilities from said subject, comparing the determined at least one performance parameter to a reference obtained from a computer-implemented regression model generated on training data, in an embodiment using partial least-squares (PLS) analysis, with the at least one performance parameters, and predicting the TMS of the subject based on said comparison.

Abstract: Medical device systems and methods are disclosed herein for assessing motor symptoms in Parkinson's disease patients through passively and/or actively acquired sensor data of motor behaviors and generating motor system assessments. Passive movement data and/or active motor performance data collected from Parkinson's disease patients is representative of EQ-5D-5L, PDQ-39, and/or MDS-UPDRS health status measurement data to more accurately predict quality of life, health status, and disease severity of Parkinson's disease patients. The generated motor system assessment may be used to provide neurologists and other health professionals with more accurate treatment recommendations and disease management protocols rather than using patient surveys alone.

Abstract: A machine learning system (110) for determining at least one analysis model for predicting at least one target variable indicative of a disease status is proposed.

Abstract: Aspects of the disclosure relate to mobile-optimized software tools that may be deployed and used to measure spatial working memory across diverse clinical trial populations. For example, some aspects describe computational optimization and participatory design of a novel spatial working memory task for clinical trials relating to autism spectrum disorders (ASD) or other neurological conditions (e.g., Alzheimer's disease). Software tools as described herein may be used for measuring treatment effects on spatial working memory and/or provide treatments to improve a patient's spatial working memory. Digital biomarkers may be generated for each patient based on the patient's spatial working memory.

Abstract: The present disclosure relates to the field of diagnostics, specifically, to a method of identifying progressing multiple sclerosis (MS) in a subject. At least one performance parameter is determined from a dataset of activity measurements obtained from the subject using a mobile device, and the performance parameter is compared to a reference, whereby a subject with progressing MS will be identified. Also disclosed is a method of recommending an anti-CD20 antibody therapy against MS that includes the steps just mentioned and the further step of recommending the anti-CD20 antibody therapy if the subject suffers from progressing MS. Also disclosed is a mobile device having a processor, at least one sensor and a database as well as software which is tangibly embedded to the device and, when running on said device, carries out the method of this disclosure as well as the use of such a device for identifying a subject suffering from progressing MS.

Abstract: Electronic devices comprising a doped dielectric material adjacent to a source contact, tiers of alternating conductive materials and dielectric materials adjacent to the doped dielectric material, and pillars extending through the tiers, the doped dielectric material, and the source contact and into the source stack. Related methods and electronic systems are also disclosed.

Abstract: The present invention relates to the field of disease tracking. Specifically, it relates to a method for predicting the forced vital capacity (FVC) in a subject suffering from spinal muscular atrophy (SMA) comprising the steps of determining at least one performance parameter from a dataset of measurements of central motor function capabilities from said subject, comparing the determined at least one performance parameter to a reference obtained from a computer-implemented regression model generated on training data using partial least-squares (PLS) analysis with the at least one performance parameters, and predicting the FVC of the subject based on said comparison. The present invention also relates to a mobile device and/or a remote device as well as software which is tangibly embedded to one of the devices and which carries out the method of the invention, wherein said mobile device and said remote device are operatively linked to each other.

Abstract: The present invention relates to the field of disease tracking. Specifically, it relates to a method for predicting the total motor score (EDSS) in a subject suffering from multiple sclerosis (MS) comprising the steps of determining at least one performance parameter from a dataset of measurements of active and passive gait and posture capabilities and cognitive capabilities from said subject, comparing the determined at least one performance parameter to a reference obtained from a computer-implemented regression model generated on training data using random forest (RF) analysis, and predicting the EDSS of the subject based on said comparison. The present invention also relates to a mobile device and/or a remote device as well as software which is tangibly embedded to one of the devices and carries out the method of the invention, wherein said mobile device and said remote device can be operatively linked to each other.

Abstract: A protective cap (1, 9, 12) for the partial covering of a pre-fitted or a fully fitted vehicle component (11). The protective cap (1, 9, 12) is made from a biogenic and/or renewable raw material.