33 results about "Digital organism" patented technology

Medical sensing devices and systems that transmit digital data from a first device via an ultrasonic digital modem to a receiver such as a smartphone. Methods of transmitting digital biological data by ultrasound are also described.

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.

The invention proposes a machine learning system (110) for determining at least one analytical model for predicting at least one target variable indicative of a disease state. The machine learning system (110) comprises:-at least one communication interface (114) configured for receiving input data, where the input data comprises a set of historical digital biomarker feature data, wherein the set of historical digital biomarker feature data comprises a plurality of measured values indicative of the disease state to be predicted; -at least one model unit (116), said at least one model unit comprising at least one machine learning model, said at least one machine learning model comprising at least one algorithm; -at least one processing unit (112), where the processing unit (112) is configured for determining at least one training data set and at least one test data set from an input data set, where the processing unit (112) is configured for determining the analysis model by training the machine learning model with the training data set, wherein the processing unit (112) is configured to predict a target variable for the test data set using the determined analysis model, and wherein the processing unit (112) is configured to determine a performance of the determined analysis model based on the predicted target variable and a truth value of the target variable of the test data set.

The invention relates to a digital biological system for simulating a biological competition and evolution process. According to one aspect of the invention, the process from birth, reproduction, variation, competition among individuals to death of a biological individual is simulated by programs, and each single program represents a biological individual. Once a parent program is started, the duplicate child programs can be initialized and die automatically; as the individuals are different in the execution times for implementing a certain loop command before child duplication and the CPU (central processing unit) processing time to be consumed, different competitive advantage degrees are formed among different programs, and the numbers of the reproduced child programs are different as well. By setting different parameters, the programs can simulate different variant children and simulate the competition as well as the evolution process of selecting the superior and eliminating the inferior of biological individuals, thereby providing a new experiment tool of a bionic model.

The present invention relates to the field of diagnostics. Specifically, the invention relates to a method of identifying progressing multiple sclerosis (MS) in a subject, and the method includes thesteps of determining at least one performance parameter determined from a dataset of activity measurements obtained from said subject using a mobile device, and comparing the determined at least one performance parameter to a reference, whereby a subject with progressing MS will be identified. Moreover, encompassed by the present invention is a method of recommending an anti-CD20 antibody therapyagainst MS comprising the steps of the method of the present invention and the further step of recommending the anti-CD20 antibody therapy if the subject suffers from progressing MS. The present invention also relates to a mobile device comprising a processor, at least one sensor and a database as well as software which is tangibly embedded to said device and, when running on said device, carriesout the method, and to the use of such a device for identifying a subject suffering from progressing MS.

Currently, assessing the severity and progression of symptoms in a subject diagnosed with a muscular disability, in particular SMA involves in-clinic monitoring and testing of the subject every 6 to 12 months. However, monitoring and testing a subject more frequently is preferred, but increasing the frequency of in-clinic monitoring and testing can be costly and inconvenient to the subject. Thus, assessing the severity and progression of symptoms via remote monitoring and testing of the subject outside of a clinic environment as described herein provides advantages in cost, ease of monitoring and convenience to the subject. Systems, methods and devices according to the present disclosure provide a diagnostic for assessing of the axial motor function of a subject having a muscular disability, in particular SMA by active testing of the subject.

An EWOD device and a related method of performing a digital biological assay are described that employs two volume measurements for enhanced assay determination. The method includes partitioning a sample reservoir and measuring the volume of each partition; initiating a biological assay wherein the biological assay includes measuring a partition property and a volume of each partition in real time as part of determining a concentration of the product substance in each partition based on the measured partition property and volume; and categorizing the partitions by a number of biological entities contained in each partition from which the number of biological entities may be calculated, which in turn may be used to calculate the total number of biological entities or concentration in the sample reservoir. The method further may include an enhanced partitioning process that minimizes variation in the volume of the partitions.

The invention relates to a digital biological system for simulating a biological competition and evolution process. According to one aspect of the invention, the process from birth, reproduction, variation, competition among individuals to death of a biological individual is simulated by programs, and each single program represents a biological individual. Once a parent program is started, the duplicate child programs can be initialized and die automatically; as the individuals are different in the execution times for implementing a certain loop command before child duplication and the CPU (central processing unit) processing time to be consumed, different competitive advantage degrees are formed among different programs, and the numbers of the reproduced child programs are different as well. By setting different parameters, the programs can simulate different variant children and simulate the competition as well as the evolution process of selecting the superior and eliminating the inferior of biological individuals, thereby providing a new experiment tool of a bionic model.

Currently, assessing the severity and progression of symptoms in a subject diagnosed with a muscular disability, in particular SMA involves in-clinic monitoring and testing of the subject every 6 to 12 months. However, monitoring and testing a subject more frequently is preferred, but increasing the frequency of in-clinic monitoring and testing can be costly and inconvenient to the subject. Thus, assessing the severity and progression of symptoms via remote monitoring and testing of the subject outside of a clinic environment as described herein provides advantages in cost, ease of monitoring and convenience to the subject. Systems, methods and devices according to the present disclosure provide a diagnostic for assessing of the motor function of a subject having a muscular disability, in particular SMA by active testing of the subject.

The present application provides a data storage method, device, and smart device based on a digital biometric signature, wherein the data storage method based on a digital biometric signature is applied to a smart device, including: responding to a triggered identity authentication request based on biometric identification, Displaying the identity authentication information corresponding to the identity authentication request; obtaining the biometric information of the object to be identified; wherein, the biometric information includes the eyeball image information, and the eyeball image information is: the identity authentication information refracted in The information obtained from the pupil of the object to be identified; correspondingly saving the biological feature information as biological signature data. By adopting the embodiments of the present application, the security and non-repudiation of network data processing can be improved.

Currently, assessing the severity and progression of symptoms in a subject diagnosed with a muscular disability, in particular SMA involves in-clinic monitoring and testing of the subject every 6 to 12 months. However, monitoring and testing a subject more frequently is preferred, but increasing the frequency of in-clinic monitoring and testing can be costly and inconvenient to the subject. Thus, assessing the severity and progression of symptoms via remote monitoring and testing of the subject outside of a clinic environment as described herein provides advantages in cost, ease of monitoring and convenience to the subject. Systems, methods and devices according to the present disclosure provide a diagnostic for assessing of the distal hypotonia of a subject having a muscular disability, in particular SMA by active testing of the subject.

Embodiments of the present disclosure relate to systems and methods for detecting cognitive decline of a subject by using the passively obtained data from at least one mobile device. In an exemplary embodiment, a computer-implemented method comprises receiving the passively obtained data from at least one mobile device. The method further comprises generating the digital biomarker data from the passively obtained data. The method further comprises analyzing the digital biomarker data to determine whether the subject is exhibiting signs of cognitive decline.

Currently, assessing the severity and progression of symptoms in a subject diagnosed with muscle dysfunction, in particular SMA, involves clinical monitoring and testing of the subject every 6 to 12 months. However, more frequent monitoring and testing of the subject is preferred, but increasing the frequency of clinical monitoring and testing may be expensive and not very convenient for the subject. Thus, as described herein, the severity and progression of symptoms are assessed via remote monitoring and testing of the subject outside the clinical environment, providing advantages in terms of cost, ease of monitoring, and convenience for the subject. Systems, methods, and devices according to the present disclosure provide a diagnostic for assessing distal hypomyotonia in a subject suffering from muscle dysfunction, particularly SMA, based on active testing of the subject.

Currently, assessing the severity and progression of symptoms in a subject diagnosed with a muscular disability, in particular SMA involves in-clinic monitoring and testing of the subject every 6 to 12 months. However, monitoring and testing a subject more frequently is preferred, but increasing the frequency of in-clinic monitoring and testing can be costly and inconvenient to the subject. Thus, assessing the severity and progression of symptoms via remote monitoring and testing of the subject outside of a clinic environment as described herein provides advantages in cost, ease of monitoring and convenience to the subject. Systems, methods and devices according to the present disclosure provide a diagnostic for assessing of the axial motor function of a subject having a muscular disability, in particular SMA by active testing of the subject.