Abstract: A model-assisted system for identifying a group of patients for a cohort using a generalized biomarker model may include a processor programmed to provide, to a generalized biomarker model, a first biomarker associated with a cohort, the generalized biomarker model being trained based on one or more second biomarkers; receive, from the generalized biomarker model, an output indicating a plurality of individuals with associated likelihoods of at least one of: having an attribute associated with the third biomarker or having been tested for the attribute associated with the first biomarker; determine a likelihood threshold based on a predetermined cohort size associated with the first biomarker and identify, based on the output, a group of the plurality of individuals for inclusion in a cohort, each individual in the group of the plurality of individuals being associated with a likelihood received from the generalized biomarker model that satisfies the likelihood threshold.

Abstract: A computer-implemented system for determining a genomic testing status of a patient may include at least one processor programmed receive, from a source, unstructured information from a plurality of patient records associated with a patient; determine, using a first machine learning model, a primary patient record from among the plurality of patient records, wherein at least a portion of information represented in the primary patient record correlates to genomic testing; determine, using a second machine learning model and based on unstructured information from one at least one of the patient records, a likelihood of an occurrence of genomic testing for the patient; determine a genomic testing status of the patient based on the determined likelihood of the occurrence of genomic testing; and display a user interface comprising an indicator of the genomic testing status of the patient and a link to the primary patient record.

Abstract: A computer-implemented system for identifying a patient for a trial may include at least one processor. The at least one processor may be programmed to receive an indication of a selected trial, the selected trial being associated with a testing status criterion; access a plurality of patient records associated with a patient of a plurality of patients; determine, using a machine learning model and based on unstructured information from one at least one of the patient records, a likelihood of an occurrence of genomic testing for the patient; determine a genomic testing status of the patient based on the determined likelihood of the occurrence of genomic testing; determine that the genomic testing status satisfies the testing status criterion; and include the patient in a subset of the plurality of patients based on the genomic testing status satisfying the testing status criterion.

Abstract: A nanopore based sequencing system includes a plurality of nanopore sensors. Each nanopore sensor has a portion for receiving a fluid. The nanopore based sequencing system includes a fluid chamber configured to guide the fluid over the plurality of nanopore sensors and an inlet configured to deliver the fluid into the fluid chamber. At least a portion of the fluid chamber is made of a material that has been molded around at least a portion of an electrode.

Abstract: A nanopore based sequencing system includes a plurality of nanopore sensors. Each nanopore sensor has a portion for receiving a fluid. The nanopore based sequencing system includes a fluid chamber configured to guide the fluid over the plurality of nanopore sensors and an inlet configured to deliver the fluid into the fluid chamber. At least a portion of the fluid chamber is made of a material that has been molded around at least a portion of an electrode.

Abstract: A model-assisted system for identifying a group of patients for a cohort using a generalized biomarker model may include a processor programmed to provide, to a generalized biomarker model, a first biomarker associated with a cohort, the generalized biomarker model being trained based on one or more second biomarkers; receive, from the generalized biomarker model, an output indicating a plurality of individuals with associated likelihoods of at least one of: having an attribute associated with the third biomarker or having been tested for the attribute associated with the first biomarker; determine a likelihood threshold based on a predetermined cohort size associated with the first biomarker and identify, based on the output, a group of the plurality of individuals for inclusion in a cohort, each individual in the group of the plurality of individuals being associated with a likelihood received from the generalized biomarker model that satisfies the likelihood threshold.

Abstract: A computer-implemented system for determining a genomic testing status of a patient may include at least one processor programmed receive, from a source, unstructured information from a plurality of patient records associated with a patient; determine, using a first machine learning model, a primary patient record from among the plurality of patient records, wherein at least a portion of information represented in the primary patient record correlates to genomic testing; determine, using a second machine learning model and based on unstructured information from one at least one of the patient records, a likelihood of an occurrence of genomic testing for the patient; determine a genomic testing status of the patient based on the determined likelihood of the occurrence of genomic testing; and display a user interface comprising an indicator of the genomic testing status of the patient and a link to the primary patient record.

Abstract: A computer-implemented system for determining a genomic testing status of a patient may include at least one processor programmed receive, from a source, unstructured information from a plurality of patient records associated with a patient; determine, using a first machine learning model, a primary patient record from among the plurality of patient records, wherein at least a portion of information represented in the primary patient record correlates to genomic testing; determine, using a second machine learning model and based on unstructured information from one at least one of the patient records, a likelihood of an occurrence of genomic testing for the patient; determine a genomic testing status of the patient based on the determined likelihood of the occurrence of genomic testing; and display a user interface comprising an indicator of the genomic testing status of the patient and a link to the primary patient record.

Abstract: A computer-implemented system for determining a genomic testing status of a patient may include at least one processor programmed receive, from a source, unstructured information from a plurality of patient records associated with a patient; determine, using a first machine learning model, a primary patient record from among the plurality of patient records, wherein at least a portion of information represented in the primary patient record correlates to genomic testing; determine, using a second machine learning model and based on unstructured information from one at least one of the patient records, a likelihood of an occurrence of genomic testing for the patient; determine a genomic testing status of the patient based on the determined likelihood of the occurrence of genomic testing; and display a user interface comprising an indicator of the genomic testing status of the patient and a link to the primary patient record.

Abstract: A nanopore based sequencing system includes a plurality of nanopore sensors. Each nanopore sensor has a portion for receiving a fluid. The nanopore based sequencing system includes a fluid chamber configured to guide the fluid over the plurality of nanopore sensors and an inlet configured to deliver the fluid into the fluid chamber. At least a portion of the fluid chamber is made of a material that has been molded around at least a portion of an electrode.

Abstract: A nanopore based sequencing system includes a plurality of nanopore sensors. Each nanopore sensor has a portion for receiving a fluid. The nanopore based sequencing system includes a fluid chamber configured to guide the fluid over the plurality of nanopore sensors and an inlet configured to deliver the fluid into the fluid chamber. At least a portion of the fluid chamber is made of a material that has been molded around at least a portion of an electrode.

Abstract: A nanopore based sequencing system includes a plurality of nanopore sensors. Each nanopore sensor has a portion for receiving a fluid. The nanopore based sequencing system includes a fluid chamber configured to guide the fluid over the plurality of nanopore sensors and an inlet configured to deliver the fluid into the fluid chamber. At least a portion of the fluid chamber is made of a material that has been molded around at least a portion of an electrode.

Abstract: An example PWM includes a driver and a two-way oscillator. The oscillator includes, a first frequency adjust current source, a second frequency adjust current source, a capacitor, a switching reference and a comparator. The capacitor integrates a frequency adjust current by charging with the first frequency adjust current source. The capacitor subsequently integrates a second frequency adjust current by discharging with the second frequency adjust current source. The switching reference outputs a first reference voltage and a second reference voltage responsive to an oscillator signal. The comparator compares the output of the switching reference with a voltage on the capacitor. The first and second frequency adjust current sources vary the first and second frequency adjust currents to vary the frequency of the PWM signal to spread energy of switching harmonics over a frequency band and to reduce EMI.

Abstract: A method and mechanism for a distributed on-demand computing system. The system automatically provisions distributed computing servers with customer application programs. The parameters of each customer application program are taken into account when a server is selected for hosting the program. The system monitors the status and performance of each distributed computing server. The system provisions additional servers when traffic levels exceed a predetermined level for a customer's application program and, as traffic demand decreases to a predetermined level, servers can be un-provisioned and returned back to a server pool for later provisioning. The system tries to fill up one server at a time with customer application programs before dispatching new requests to another server. The customer is charged a fee based on the usage of the distributed computing servers.

Abstract: A multimedia system for vehicle having a plurality of electrical accessories, including a control housing, a control module, and a dash pad. The control module includes a central processing module. The central processing module is electrically connected with the electrical accessories in such a manner that the central processing module is arranged to centrally control the electrical accessories. The dash pad is detachably mounted on the control housing and is wirelessly communicated with the central processing module, wherein a user is able wirelessly control the electrical accessories in the vehicle through the dash pad.

Abstract: A distributed DNS network includes a central origin server that actually controls the zone, and edge DNS cache servers configured to cache the DNS content of the origin server. The edge DNS cache servers are published as the authoritative servers for customer domains instead of the origin server. When a request for a DNS record results in a cache miss, the edge DNS cache servers get the information from the origin server and cache it for use in response to future requests. Multiple edge DNS cache servers can be deployed at multiple locations. Since an unlimited number of edge DNS cache servers can be deployed, the system is highly scalable. The disclosed techniques protect against DoS attacks, as DNS requests are not made to the origin server directly.

Abstract: A dynamic multimedia fingerprinting system is provided. A user requests multimedia content from a Web cache server that verifies that the user is authorized to download the content. A custom fingerprint specific to the user is generated and dynamically inserted into the content as the content is delivered to the user. The custom fingerprint can be generated on the Web cache server or at the content provider's server. The system allows a content provider to specify where the custom fingerprint is inserted into the content or where the fingerprint is to replace a placeholder within the content.

Abstract: A multimedia system for vehicle having a plurality of electrical accessories, including a control housing, a control module, and a dash pad. The control module includes a central processing module. The central processing module is electrically connected with the electrical accessories in such a manner that the central processing module is arranged to centrally control the electrical accessories. The dash pad is detachably mounted on the control housing and is wirelessly communicated with the central processing module, wherein a user is able wirelessly control the electrical accessories in the vehicle through the dash pad.

Abstract: An example two-way integrator includes a first current source, a second current source, a first offset current source, a second offset current source, a capacitor, a switching reference and a comparator. The capacitor integrates a sum of a first input current and a first offset current by charging with both the first current source and the first offset current source. The capacitor subsequently integrates a sum of the second input current and the second offset current by discharging with both the second current source and the second offset current source. The switching reference outputs a first reference voltage and a second reference voltage responsive to pulses of a pulse signal. The comparator is coupled to compare the switching reference with a voltage on the capacitor.

Abstract: A vehicle seat head rest for mounting to a vehicle seat of a vehicle includes a head pillow and an electronic appliance including a screen module detachably mounted at the head pillow. The head pillow includes a pillow body having a receiving cavity formed at the rear side of the pillow body, a mounting arrangement for mounting to the vehicle seat, and a replaceable skin detachably encasing the pillow body at a position that a peripheral edge of the replaceable skin is folded at the rear side of the pillow body. The screen module is detachably mounted within the receiving cavity and is supported by an interior wall thereof. Thus, the peripheral edge of the replaceable skin is hidden after the screen module is detachably mounted at the rear side of the head pillow.