Abstract: Systems and methods of the present disclosure determine whether the patient experiences a grand tonic clonic seizures using video recordings or sensor data or both. The systems and methods receive data from a device that continuously records video and/or sensor data, continuously analyzes the data with a processing unit utilizing machine learning to classify segments of the data as seizure or no seizure, and to classify seizure types. An alarm is produced using an output unit when an epileptic data segment is detected. The processing unit thus provides continuous and in real-time monitoring of an epilepsy patient in the home or hospital setting, e.g. while the patient is sleeping in bed. In case a seizure is detected, an alarm may inform caregivers or clinicians to help them intervene and limit the complications of this seizure for the patient.

Abstract: Systems and methods of the present disclosure determine whether the patient experiences a grand tonic clonic seizures using video recordings or sensor data or both. The systems and methods receive data from a device that continuously records video and/or sensor data, continuously analyzes the data with a processing unit utilizing machine learning to classify segments of the data as seizure or no seizure, and to classify seizure types. An alarm is produced using an output unit when an epileptic data segment is detected. The processing unit thus provides continuous and in real-time monitoring of an epilepsy patient in the home or hospital setting, e.g. while the patient is sleeping in bed. In case a seizure is detected, an alarm may inform caregivers or clinicians to help them intervene and limit the complications of this seizure for the patient.

Abstract: To enable real-time seizure warnings, systems and methods of the present disclosure include a wearable sensor in communication with processors that are configured to receive from the wearable sensor data streams associated with a user that include biomarker data parameters. The processors utilize a seizure forecasting machine learning model to predict a pre-ictal period probability associated with a forecasted time segment based on values of the data streams. The processors determine a segment value for an integration window of a history pre-ictal period probabilities for the forecasted time segment and previously forecasted time segments and determine a pre-ictal period based on the segment value exceeding a pre-ictal probability threshold. The processors determine a pre-ictal risk indication include a seizure treatment administration and cause a computing device to produce the pre-ictal risk indication to indicate a predicted risk of a seizure.

Abstract: The present invention relates to a method for diagnosis of delayed bone fracture healing, comprising determining the frequency of a subpopulation of CD8+ cells selected from a first group comprised of CD8+CD57+, CD8+CD28? and CD8+CD28?/CD57+, in a sample obtained from a subject. The present invention further relates to a system and a kit of parts for prediction and resulting options for preventing of delayed bone fracture healing.

Abstract: The present invention relates to a method for diagnosis of delayed bone fracture healing, comprising determining the frequency of a subpopulation of CD8+ cells selected from a first group comprised of CD8+CD57+, CD8+CD28? and CD8+CD28?/CD57+, in a sample obtained from a subject. The present invention further relates to a system and a kit of parts for prediction and resulting options for preventing of delayed bone fracture healing.

Abstract: The present invention is directed to a method of continuously monitoring neuronal avalanches in a subject comprising (a) determining a deviation in avalanche exponent (?) or branching parameter (?) from a predetermined value at rest, wherein the pre-determined value of a is a slope of a size distribution of the synchronized neuronal activity and the predetermined value is ?3/2 and the pre-determined value of 6 is a ratio of successively propagated synchronized neuronal activity and the predetermined value is 1; and (b) repeating step (a) one or more times to continuously monitor neuronal avalanches in a subject. The invention also features methods of determining or monitoring the degree of sleep deprivation in a subject, methods of identifying subjects that are susceptible to a sleep disorder and methods of diagnosing a sleep disorder in a subject.

Abstract: The present invention is directed to a method of continuously monitoring neuronal avalanches in a subject comprising (a) determining a deviation in avalanche exponent (?) or branching parameter (?) from a predetermined value at rest, wherein the pre-determined value of ? is a slope of a size distribution of the synchronized neuronal activity and the predetermined value is ?3/2 and the pre-determined value of ? is a ratio of successively propagated synchronized neuronal activity and the predetermined value is 1; and (b) repeating step (a) one or more times to continuously monitor neuronal avalanches in a subject. The invention also features methods of determining or monitoring the degree of sleep deprivation in a subject, methods of identifying subjects that are susceptible to a sleep disorder and methods of diagnosing a sleep disorder in a subject.

Abstract: The present invention relates to a method for diagnosis of delayed bone fracture healing, comprising determining the frequency of a subpopulation of CD8+ cells selected from a first group comprised of CD8+CD57+, CD8+CD28? and CD8+CD28?/CD57+, in a sample obtained from a subject. The present invention further relates to a system and a kit of parts for prediction and resulting options for preventing of delayed bone fracture healing.

Abstract: The system includes a processor configured for receiving biomedical documents including an identifier of the target and/or of the disease; specifying an offset time the offset time indicating a time interval ahead of the performing of the prediction; specifying a time window ending at the begin of the offset time; extracting a plurality of features selectively from the ones of the received documents published during the time window; providing a classifier having been trained on training features extracted from biomedical training documents published within a training time window ending at the begin of the offset time ahead of a moment the outcome of one or more training studies on training target-disease-pairs was disclosed; executing the classifier, thereby providing the extracted features as input; and outputting a classification result indicating whether the drug directed at the target can be used to treat the disease.

Abstract: The present invention is directed to a method of continuously monitoring neuronal synchronization in a subject comprising (a) determining a deviation in mean synchronization (R) from a predetermined value at rest, wherein the pre-determined value of R is 1, and the variability of synchronization H; and (b) repeating step (a) one or more times to continuously monitor synchronization R and its variability H in a subject. The invention also features methods of determining and monitoring the degree of brain excitability. The invention furthermore features methods of determining or monitoring the degree of sleep deprivation in a subject, methods of identifying subjects that are susceptible to a sleep disorder and methods of diagnosing a sleep disorder in a subject.

Abstract: The present invention is directed to a method of continuously monitoring neuronal avalanches in a subject comprising (a) determining a deviation in avalanche exponent (?) or branching parameter (?) from a predetermined value at rest, wherein the pre-determined value of ? is a slope of a size distribution of the synchronized neuronal activity and the predetermined value is ?3/2 and the pre-determined value of ? is a ratio of successively propagated synchronized neuronal activity and the predetermined value is 1; and (b) repeating step (a) one or more times to continuously monitor neuronal avalanches in a subject. The invention also features methods of determining or monitoring the degree of sleep deprivation in a subject, methods of identifying subjects that are susceptible to a sleep disorder and methods of diagnosing a sleep disorder in a subject.

Abstract: The present invention relates to a method for diagnosis of delayed bone fracture healing, comprising determining the frequency of a subpopulation of CD8+ cells selected from a first group comprised of CD8+CD57+, CD8+CD28? and CD8+CD28?/CD57+, in a sample obtained from a subject. The present invention further relates to a system and a kit of parts for prediction and resulting options for preventing of delayed bone fracture healing.

Abstract: The invention refers to agents for the preventive therapy after acute stroke, in particular having the aim to prevent infections after stroke. The agents inventively employed in pharmaceutical preparations are anti-infective agents and/or immunomodulating agents, e.g. cytokines and/or inhibitors of the SNS.

Abstract: The invention refers to agents for the preventive therapy after acute stroke, in particular having the aim to prevent infections after stroke. The agents inventively employed in pharmaceutical preparations are anti-infective agents and/or immunomodulating agents, e.g. cytokines and/or inhibitors of the SNS.