Abstract: The present invention relates to prostate cancer (PC), in particular the identification of certain bacteria in prostate cancer tissues or liquid biopsies and the use of such identification as a prognostic indicator of cancer progression. The present invention also relates to cultures of newly identified bacteria and means for identifying such bacteria in biological samples.

Abstract: Methods, computer systems, and computer-storage media are provided for generating and using context briefs to identify relevant chat responses. In embodiments, a context template associated with an intent is obtained. The context template includes a data reference referencing dynamic data and content providing context for the dynamic data. Thereafter, a context brief associated with the intent is generated by obtaining the dynamic data and incorporating the dynamic data with the content. Upon obtaining an input data request indicating a user intent, the context brief is identified as corresponding with the user intent of the input data request based on the intent associated with the context brief. A prompt to be input into a large language model is generated. The prompt includes the input data request and the context brief. A response relevant to the input data request is obtained as output from the large language model.

Abstract: A method implemented through a data processing device of a computing network including includes detecting a point anomaly in real-time data associated with each network entity based on determining whether the real-time data falls outside a threshold expected value thereof, and representing the detected point anomaly in a full mesh Q node graph, with Q being a number of features applicable for the each network entity. The method also includes capturing a transition in the point anomaly associated with a newly detected anomaly or non-anomaly in the real-time data associated with one or more of the Q number of features via the representation of the full mesh Q node graph, and deriving a current data correlation score for the point anomaly across the captured transition via the representation of the full mesh Q node graph.

Abstract: The present invention provides a method for depleting host nucleic acid in a biological sample, said sample having been previously obtained from an animal host and having been subjected to treatment to lyse host cells present in the sample, and optionally having been subjected to a treatment to deplete nucleic acid released from host cells within said sample or otherwise to render such nucleic acid unidentifiable, the method comprising: (a) depleting host mitochondria or host mitochondrial NA (mtDNA and/or mtRNA) present in the treated sample; and (b) extracting and/or analysing remaining nucleic acid from the treated sample. Also provided is a related kit comprising reagents for performing the method.

Abstract: The present invention provides a method for depleting host nucleic acid in a biological sample, said sample having been previously obtained from an animal host and having been subjected to treatment to lyse host cells present in the sample, and having been subjected to a treatment to deplete nucleic acid released from host cells within said sample or otherwise to render such nucleic acid unidentifiable, the method comprising: (a) depleting host mitochondria or host mitochondrial DNA (mtDNA) present in the treated sample; and (b) extracting and/or analysing remaining nucleic acid from the treated sample. Also provided is a related kit comprising reagents for performing the method. Further claimed is a method for isolating mitochondrial DNA after host cells have been lysed and host cell nucleic acids have been removed from the sample.

Abstract: Acoustic echo cancellation systems and methods are provided that can automatically adjust a threshold of a non-linear processor based on the state of a conferencing session, such as a far end single talk condition or a doubletalk condition. The state of the conferencing session may be detected based on various combinations of metrics that are measured from a microphone signal and a remote audio signal. The systems and methods can improve the removal of residual echo and therefore enhance the overall performance of the acoustic echo cancellation system.

Abstract: A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

Abstract: Described herein are methods, systems and apparatus for separating components of a biological sample; and in particular, extracting and isolating exosomes. Methods of administering the exosomes are also described.

Abstract: A method implemented through a server of a cloud computing network including subscribers of application acceleration as a service provided therethrough includes detecting a set of point anomalies in real-time data associated with each network entity for each feature thereof, and, in accordance with reading anomaly scores associated with an event as an input feedback, the each feature of the each network entity as a dimension of the input feedback and a category of the event as a label thereof, predictively classifying a future event into a predicted category in accordance with subjecting the anomaly scores associated with the event to a binning process and interpreting a severity indicator of the event. The method also includes refining the predictive classification of the future event based on a subsequent input to the server from a client device modifying a classification model for predictively classifying the future event into the predicted category.

Abstract: A method implemented through a server of a cloud computing network including subscribers of application acceleration as a service provided therethrough includes detecting a set of point anomalies in real-time data associated with each network entity for each feature thereof, and determining at least a subset of the set of point anomalies as a sequential series of continuous anomalies based on a separation in time between immediately next point anomalies thereof. The method also determining a current longest occurring sequence of anomalies in the set of point anomalies, and, in light of new point anomalies of the set of point anomalies in the real-time data detected, improving performance of determination of a subsequent longest occurring sequence of anomalies in the set of point anomalies based on combining the determined current longest occurring sequence of anomalies incrementally with one or more new point anomalies.

Abstract: Aspects of the present disclosure provide systems, devices, and methods for delivering substances such as fluids, solutions, medications, and drugs to patients using infusion devices having a set of advanced features. These advanced features include aspects related to the programming of infusion devices, the configuration of infusion sequences performed by the infusion devices, and the interconnection of multiple infusion devices for interoperation during an infusion having a sequence of infusion steps.

Abstract: A method implemented through a server of a cloud computing network including subscribers of application acceleration as a service provided therethrough includes detecting a set of point anomalies in real-time data associated with each network entity for each feature thereof, and determining at least a subset of the set of point anomalies as a sequential series of continuous anomalies based on a separation in time between immediately next point anomalies thereof. The method also determining a current longest occurring sequence of anomalies in the set of point anomalies, and, in light of new point anomalies of the set of point anomalies in the real-time data detected, improving performance of determination of a subsequent longest occurring sequence of anomalies in the set of point anomalies based on combining the determined current longest occurring sequence of anomalies incrementally with one or more new point anomalies.

Abstract: Provided are methods, compositions and kits for depleting host nucleic acid in a biological sample, said sample having been previously obtained from an animal host.

Abstract: A method implemented through a server of a cloud computing network including subscribers of application acceleration as a service provided therethrough includes detecting a set of point anomalies in real-time data associated with each network entity for each feature thereof, and, in accordance with reading anomaly scores associated with an event as an input feedback, the each feature of the each network entity as a dimension of the input feedback and a category of the event as a label thereof, predictively classifying a future event into a predicted category in accordance with subjecting the anomaly scores associated with the event to a binning process and interpreting a severity indicator of the event. The method also includes refining the predictive classification of the future event based on a subsequent input to the server from a client device modifying a classification model for predictively classifying the future event into the predicted category.

Abstract: Systems and methods are provided herein for deploying, using at least one microphone, a first microphone lobe towards a first location, the first microphone lobe configured to capture one or more first audio signals from a first audio source located within a first audio pick-up region; deploying, using the at least one microphone, a second microphone lobe towards a second location, the second microphone lobe configured to capture one or more second audio signals from a second audio source located outside the first audio pick-up region; and removing, using at least one processor, off-axis noise from the one or more first audio signals by applying, to the one or more first audio signals, a mask determined based on the one or more second audio signals.

Abstract: A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

Abstract: Systems and methods are described herein for receiving, at a plurality of audio channels, respective audio signals captured by one or more microphones; based on a speech quality determination for each signal, identifying, in real time, a first subset of the audio channels as capturing speech audio, and a second subset of the audio channels as capturing noise audio, wherein the first subset comprises one or more audio channels and the second subset comprises one or more other audio channels; generating, using a first mixer, a mixed audio output that includes the signals received at the one or more audio channels; generating, using a second mixer, a noise mix that includes the signals received at the one or more other audio channels; and removing off-axis noise from the mixed audio output by applying, to that output, a mask determined based on the noise mix.

Abstract: Array microphone systems and methods that can automatically focus and/or place beamformed lobes in response to detected sound activity are provided. The automatic focus and/or placement of the beamformed lobes can be inhibited based on a remote far end audio signal. The quality of the coverage of audio sources in an environment may be improved by ensuring that beamformed lobes are optimally picking up the audio sources even if they have moved and changed locations.

Abstract: Systems, methods and computer-readable mediums may use intrinsic behavior of an integrated circuit (IC) chip to generate Physically Unclonable Function (PUF) vector bits. A processor of the system may be configured to receive a plurality of temperature values corresponding to a plurality of respective temperature measurement values obtained by a plurality of respective temperature sensors disposed on the IC chip. The processor may be further configured to process the temperature measurement values to generate PUF vector bits that can be used to generate a security key.

Abstract: A method implemented through a data processing device in a computing network includes sampling time series data associated with each network entity for each feature thereof into a smaller time interval as a first data series and a second data series including a maximum value and a minimum value respectively of the sampled time series data for the each feature within the smaller time interval, and generating a reference data band from predicted future data sets. The method also includes detecting, based on the reference data band, an anomaly in real-time data associated with the each network entity for the each feature thereof, and determining an event associated with a pattern of change of the real-time data associated with the each network entity based on executing an optimization algorithm to determine a series of anomalies including the detected anomaly.