Abstract: A patient monitoring system may include a camera acquiring image data of an environment, a wearable device coupled to a patient and generating sensor data of physiological parameters of the patient, and a computing system communicatively coupled to the camera and the wearable device. The computing system may receive the image data from the camera, receive sensor data indicative of a physiological parameter of a patient, and identify the patient in the image data. The computing system may also associate the physiological parameter with the identified patient in the image data and generate a graphical user interface (GUI) displaying the image data with the physiological parameter overlaid on the displayed image data, where a location of the overlaid physiological parameter on the image data is based on a location of the identified patient in the image data.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating a graph reference genome customized for a particular sample genome and utilizing the customized graph reference genome to determine final nucleotide-base calls for the sample genome. To illustrate, the disclosed systems can generate a customized graph reference genome including various paths representing imputed haplotypes corresponding to a particular genomic region. Additionally, or alternatively, the disclosed system can determine and compare direct and imputed nucleotide-base calls for a sample genome as a basis for generating final nucleotide-base calls. In some such cases, the disclosed system weights (and selects between) direct nucleotide-base calls and imputed nucleotide-base calls for genomic coordinates based on sequencing metrics corresponding to the direct nucleotide-base calls or based on the variability of the genomic regions comprising the genomic coordinates.

Abstract: A method of operating a finite state machine circuit can be provided by determining if a target sequence of characters included in a string of reference characters occurs within a specified difference distance using states indicated by the finite state machine circuit to indicate a number of character mis-matches between the target sequence of characters and a respective sequence of characters within the string of reference characters.

Abstract: An apparatus includes a condition module configured to determine a condition associated with a patient user. The apparatus includes a content module configured to select a content item from a group of content items based at least in part on the condition. The apparatus includes a clinician approval module configured to receive, from a clinician user associated with the patient user, approval of the content item. The apparatus includes a webpage module configured to generate, based at least in part on receiving the approval, a webpage comprising the content item. The apparatus includes a URL module configured to transmit a uniform resource locator (“URL”) of the webpage to the patient user.

Abstract: A system and method for facilitating clinical trial enrollment. A clinical trial information database is provided. The clinical trial information database has stored therein clinical trial information of at least a clinical trial with the clinical trial information being indicative of clinical trial criteria of the at least a clinical trial and contact information of the at least a clinical trial's coordinator. A server computer is connected to the Internet and the clinical trial database. The server computer executes computer-executable instructions stored in a non-transient memory thereof and performs generates data indicative of an interactive Internet website for facilitating clinical trial enrollment. The interactive Internet website enables communication between the server computer and users of client computers connected to the Internet. A request for clinical trial information is received from a user via the Internet website executed on the user's client computer.

Abstract: A system includes processor hardware configured to execute instructions from memory hardware. The instructions include, in response to designation of an entity within a data store, obtaining information and determining a condition of the designated entity. The instructions include, based on the condition of the designated entity, identifying a set of states. The instructions include obtaining trigger conditions for the selected state, each specifying a set of satisfaction criteria. The instructions include determining whether each trigger condition is satisfied by evaluating the satisfaction criteria based on data corresponding to the designated entity. The instructions include selectively selecting another state based on whether the trigger conditions are satisfied. The instructions include determining, and scheduling for execution, an executable sequence based on the selected state.

Abstract: A system and method for a seamless provision of discounting for prescription services that are not eligible for financial coverage by a plan, such as a Medicare Part D plan. The system and method take denials from Pharmacy Benefit Managers (PBMs) and seamlessly provides to end users (patients) a discounted cost for the denied coverage of the prescription. Denials of coverage are transmitted to a switch server where rejection codes are detected at the switch server and relayed to the seamless server. The seamless server then provides an approval instead of the original PBM.

Abstract: Methods and systems for monitoring and displaying pain level of a patient including obtaining inputs comprising at least: a patient report of a pain level, a physical activity indicator obtained from at least one computing device associated with the patient, a sleep indicator obtained from the at least one computing device, and a social activity indicator obtained from the at least one computing device; analyzing the inputs to obtain at least three factor evaluations corresponding to at least three factors indicating a wellbeing status of the patient; integrating the at least three factor evaluations into a pain score assessment; and displaying the at least three factor evaluations and the pain score evaluation.

Abstract: A diagnosis support system that causes at least one memory and at least one processor to acquire first tomographic image data and second tomographic image data containing a plurality of cross-sectional images, acquire subtracted image data generated by performing subtraction between the first tomographic image data and the second tomographic image data, acquire projection image data generated by performing projection processing in a projection direction parallel with a cross-sectional surface of the plurality of cross-sectional images on the subtracted image data, wherein the projection image data can be displayed in rotation with a stacking direction of the plurality of cross-sectional images as a rotation axis, and the projection direction is substantially perpendicular to the stacking direction, and display a projection image based on the projection image data.

Abstract: Techniques for maintaining state and context of conversations between a user and digital assistant using threads. In one aspect, a method includes receiving a natural language utterance from a user during a session, obtaining a topic context instance for the natural language utterance, and generating, by a GenAI model, a list comprising an executable action based on candidate actions associated with the topic context instance. The executable action is then executed to produce an output. The executing includes determining there is no thread running within the session that is associated with the topic context instance, the executable action, or both, and responsive to determining there is no thread running, creating a thread associated with the topic context instance, the executable action, or both, and executing, using the thread, the executable action to obtain the output. The output or a communication derived from the output is then sent to the user.

Abstract: Provided are methods for determining a disease risk associated with an embryo that comprise constructing the genome of the embryo based on (i) one or more genetic variants in the embryo, (ii) a paternal haplotype, (iii) a maternal haplotype (iv) a transmission probability of the paternal haplotype, and (v) a transmission probability of the maternal haplotype; assigning a polygenic risk score to the embryo based on the constructed genome of the embryo; determining the disease risk associated with the embryo based on the polygenic risk score; and determining transmission of disease causing genetic variants and/or haplotypes from the paternal genome and/or maternal genome to the embryo. Also provided are methods of determining a range of disease risk for potential children for a mother and a potential sperm donor. Also provided are methods of determining disease risk in an individual.

Abstract: A machine learning (ML) method for predicting an electronic structure of an atomic system. The method includes receiving an atomic identifier and an atomic position for atoms in the atomic system; receiving a basis set including rules for forming atomic orbitals of the atomic system; forming the atomic orbitals of the atomic system; and predicting an electronic structure of the atomic system based on the atom identifier, the atom position for the atoms in the atomic system, and the atomic orbitals of the atomic system. The ML method is capable of extremely accurate and fast molecular property prediction. The ML can directly purpose basis dependent information to predict molecular electronic structure. The ML method, which may be referred to as an orbital mixer model, uses multi-layer perception (MLP) mixer layers within a simple, intuitive, and scalable architecture to achieve competitive Hamiltonian and molecular orbital energy and coefficient prediction accuracies.

Abstract: Presented herein are predictive consultation techniques for use with medical devices. The techniques presented herein, sometimes referred to herein as “predictive medical device consultation techniques,” can include, for example, generation of one or more clinical predictions related to timing of future clinical appointments and/or one or more clinical predictions related to the selection of a medical device for the recipient.

Abstract: An information processing apparatus includes a first generation unit configured to generate a list of one or more disease names from an affected area image of a patient, a first determination unit configured to determine a name of a part having an affected area, an acquisition unit configured to acquire a previous medical examination record for the part having the affected area, a second determination unit configured to detect an excluded disease name or an examination result excluding a possibility of a specific disease described in a medical examination history and determine an or the excluded disease name, and a display unit configured to display a disease name or disease names in the list of the one or more disease names that are not described in a list of the excluded disease name, differently from the excluded disease name in the list of the excluded disease name.

Abstract: The present embodiments relate to a multimodal cryptographic bio-human machine interface (“CB-HMI”), which seamlessly translates the user's touch-based entries into encrypted biochemical, biophysical, and biometric indices. The CB-HMI features thin hydrogel-coated chemical sensors and inference algorithms to non-invasively and inconspicuously acquire biochemical indices such as circulating molecules that partition onto the skin (here, ethanol and acetaminophen). Additionally, the CB-HMI hosts physical sensors and associated algorithms to simultaneously acquire the user's heart rate, blood oxygen level, and fingerprint minutiae pattern. Additional or alternative embodiments include a touch-based non-invasive monitoring solution for lithium pharmacotherapy management. The system is constructed based on a thin organohydrogel-coated lithium ion-selective electrode (TOH-ISE), where the TOH coating was engineered to render stabilized conditions for sensing.

Abstract: A method for genome analysis is provided. The method includes receiving a nucleotide string comprising a plurality of nucleotides from at least a portion of one or more individual patients' genome. The method also includes identifying a plurality of variants in said nucleotide string, assigning each identified variant a score based on a location of a variant and a predicted functional consequence, and determining a strength of a variation responsible for a trait or phenotypic manifestation of the variants. The method also includes identifying at least one phenotype, and displaying, in a graphic unit interface of a client device, said nucleotide string, the identified variants, and the at least one phenotype, in one or more genetic elements for one or more individual patients. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

Abstract: The embodiments of the invention provide an intelligent shared cryogenic physical therapy system, including cryogenic physical therapy devices, human-machine interaction devices and a server. The server is configured to acquire target location information and recommend a cryogenic physical therapy device based on a relationship between the target location information and pre-recorded location information of each of the cryogenic physical therapy devices; and send a use request to a human-machine interaction device when a target cryogenic physical therapy device is selected and it is determined that the account balance meets a fee deduction condition. The human-machine interaction device can acquire the use request and generate the control instruction. A programmable controller of the cryogenic physical therapy device is configured to control the physical therapy module to perform an operation indicated by the control instruction when receiving the control instruction.

Abstract: A method and system for merging healthcare records across multiple locations is presented. The method first creates anonymized healthcare records by removing personally identifiable information. The method then converts each record into an embedding and appends a site locator identifying only the originator of the healthcare record. Then these embeddings are combined with similarly processed embeddings from multiple sites to create a merged database of embeddings derived from patient healthcare records. A classifier is trained to predict likely outcomes based on the merged database of embeddings. For a new patient, the corresponding healthcare record is converted to an embedding and the merged database of embeddings is then searched for a most similar patient and a treatment is recommended for the new patient, based on the prediction of the classifier.

Abstract: Object information is received via an application programming interface (API) from a requesting computing device. The object information is (a) extracted from a machine-readable code associated with the object, or (b) derived from information extracted from the machine-readable code associated with the object. A non-sequential parsing process is performed to the object information to identify one or more values for one or more fields of a plurality of unique fields. Performing the non-sequential parsing process includes applying a plurality of regular expressions to the object information to identify the one or more values. Each of the plurality of regular expressions is configured to identify values for at least one field of the plurality of unique fields. For each of the one or more values, a data object is that comprises the value and information indicative of the field for the value.

Abstract: An apparatus for configuring a wearable device for exercise tracking includes a data storage unit for storing sensor data generated by a sensor arrangement in the wearable device based on sensed movement of the wearable device and optical movement data including representations of an individual obtained from an image-based monitoring system; and a processing unit configured to: execute a movement tracker model on the sensor data to determine a first exercise activity and an associated first confidence indicator; execute an optical tracker model on the optical movement data to determine a second exercise activity and an associated second confidence indicator; process the movement tracker model based on the first confidence indicator and the second confidence indicator.