Abstract: Altering protein-ligand structures by generating molecular trajectory data for a protein-ligand structure, determining a molecular level binding affinity according to the molecular trajectory data, determining an atom level binding affinity for a first atom of the protein-ligand structure according to the molecular trajectory data, determining a correlation between the atom level and the molecular level binding affinities, and altering the protein-ligand structure according to the correlation.

Abstract: Provided herein are diagnostic and therapeutic methods for the treatment of cancer using polygenic risk scores (PRSs) for dermatological autoimmune diseases. In particular, the invention provides methods for patient selection and methods of treatment.

Abstract: The present technology relates to methods that determine one or more subgroups of subjects within a population of subjects diagnosed with the same disease. In some embodiments, the methods include determining differential gene expression of at least one subgroup in the population using divisive Shuffling Approach (VIStA). In some embodiments, the method includes determining at least one clinical characteristic of each subgroup and/or determining a significant set of clinical characteristics of the disease order.

Abstract: Illustrative embodiments of technologies for nucleotide sequence screening are disclosed. In one illustrative embodiment, a system may include a server to communicate with a remote frontend over a network in order to receive a request to screen one or more nucleotide sequences for hazardous content and to report a result of the screening. The system may also include a compute engine to compare each nucleotide sequence to each of a plurality of reference sequences stored in a reference database, to detect whether hazardous content is present in each nucleotide sequence based upon the comparison of that nucleotide sequence to each of the plurality of reference sequences, and to assign one of a plurality of threat levels to each nucleotide sequence based upon the detection of whether hazardous content is present in that nucleotide sequence. The reported result may include the threat level assigned to each nucleotide sequence.

Abstract: Methods, processes, and particularly computer implemented processes and computer program products are provided for use in the analysis of genetic sequence data. The processes and products are employed in the assembly of shorter nucleic acid sequence data into longer linked and preferably contiguous genetic constructs, including large contigs, chromosomes and whole genomes.

Abstract: Disclosed is an analysis method for a blood specimen, including: obtaining a data group including a plurality of data forming a blood coagulation curve or a differential curve thereof; inputting the data group into a deep learning algorithm; and outputting, on the basis of a result obtained from the deep learning algorithm, information regarding a cause of prolongation of blood coagulation time of the blood specimen.

Abstract: In some examples, a system for amplifying and quantifying a target organism present in a sample includes a detection device configured to amplify and detect a nucleic acid associated with the target organism. The detection device configured to receive a sample and to amplify nucleic acid in the sample over an amplification cycle. The detection device is configured to capture a data set including measurements of the nucleic acid collected during the amplification cycle. The system further includes a computing device configured to receive the data set and to apply a machine learning system to the data set. The machine learning system is trained to estimate a quantity of the target organism present in the sample based on the measurements in the data set.

Abstract: A terminal device according to an embodiment includes an accepting unit, a secret value generating unit, a response data generating unit, and an output unit. The accepting unit accepts an inquiry about genome data of each user. The secret value generating unit generates a secret value by applying a one-way function to the genome data. The response data generating unit generates response data to the inquiry on the basis of the secret value generated by the secret value generating unit and contents of the inquiry. The output unit outputs the response data generated by the response data generating unit.

Abstract: The invention provides a free energy perturbation computation scheduling method used in a heterogeneous cluster environment, including the following steps. Step A: performing npt ensemble dynamic simulations through pre-built molecular/protein structures and input files to obtain equilibrium structures; Step B: running replica exchange dynamic calculations based on Hamiltonian to obtain enough trajectory data; Step C: analyzing trajectory files, and combining the trajectory files with various prmtop to generate new amber calculation inputs, calculating a single point energy corresponding to each conformation after combination; Step D: using regular expressions to extract energy values from log files, and at the same time cleaning up intermediate temporary files to complete a calculation process of a single molecule.

Abstract: A method comprising: receiving a plurality of signals representing spectral emissions resulting from an interaction between a laser field and a respective plurality of analytes, wherein at least some of the analytes comprise multi-center chiral molecules; at a training stage, training a machine learning model on a training set comprising: (i) the plurality of signals, and (ii) labels associated with a configuration of a chirality in each of the plurality of analytes; and at an inference stage, applying the machine learning model to a target signal representing spectral emission associated with a target analyte comprising a multi-center chiral molecule, to determine chiral characteristic of the target analyte.

Abstract: Triggering information that defines conditions for presenting a virtual clinical exam may be downloaded to a user device. The user device may collect sensor data and use the sensor data to evaluate the conditions. When certain conditions are fulfilled, the user device may present the virtual clinical exam at the user device.

Abstract: Methods, systems, and computer-readable media are disclosed herein for generating a user-interactive partogram in a graphical user interface using cloud deployment and multi-application integration.

Abstract: The system determines reimbursements to healthcare providers that provide care based on a novel risk-value reimbursement model, wherein the care is based on a patient risk score and the quality of care delivered. The system and method may include the process of obtaining variables of patient health data for a patient; determining a rank order correlation of the variables with an adverse health outcome; determining a risk score for the patient; sorting patient panels based on the risk score for each patient in the patient panel; determining a lower amount of time on a timer for a chart for the patient, in response to the risk score for the patient being higher than other risk scores for other patients in the patient panel; and resetting the timer, in response to an action by a provider.

Abstract: An EHR system and method that includes medical device data, voice transcription data and image data to corroborate data from multiple sources and aid in the allocation of data to fields in a user interface.

Abstract: Disclosed systems, methods, and computer readable media can retrieve clinical information based on clinical patient data. For example, a method for retrieving clinical information based on clinical patient data includes receiving a specification of a patient cohort, receiving a query, retrieving a list of search results based on the query and the specification of the patient cohort, computing one or more inferences for each item in the list of search results, providing an aggregate statistical analysis associated with the one or more inferences, and providing, by the one or more hardware processors, a response to the query that includes the aggregate statistical analysis. Each element in the list of search results comprises at least a portion of a clinical data record associated with a patient in the patient cohort.

Abstract: Methods and systems to de-identify a longitudinal dataset of personal records based on journalistic risk computed from a sample set of the personal records, including determining a similarity distribution of the sample set based on quasi-identifiers of the respective personal records, converting the similarity distribution of the sample set to an equivalence class distribution, and computing journalistic risk based on the equivalence distribution. In an embodiment, multiple similarity measures are determined for a personal record based on comparisons with multiple combinations of other personal records of the sample set, and an average of the multiple similarity measures is rounded. In an embodiment, similarity measures are determined for a subset of the sample set and, for each similarity measure, the number of records having the similarity measure is projected to the subset of personal records. Journalistic risk may be computed for multiple types of attacks.

Abstract: There is provided a system for tracking events associated with a treatment by personalised medicine, the system comprising a plurality of nodes hosting a blockchain. The plurality of nodes include a plurality of sequence manager nodes, each associated with a respective sequence manager contract on the blockchain, and a hub node associated with a hub contract on the blockchain. A first sequence manager contract of the sequence manager contracts is arranged to receive first event data indicating a first event associated with the treatment, and store the first event data on the blockchain in association with a first event sequence. The hub contract is arranged to store an association between the first event sequence and one or more further event sequences associated with the treatment, on the blockchain.

Abstract: A system and method is provided that includes a wearable device that measures the effects of cannabis products on users based on an algorithm that calculates biometric data received by sensors on the device. The system includes a delivery device that has a wireless connection to a third-party network that monitors their usage and compares the usage data to the use prescribed in the user's treatment plan. When the user exceeds their treatment plan the network will remotely deactivate the user's delivery device. The system will also notify the user when they have not met the minimum usage prescribed by their treatment plan. The system further provides a means for caregivers to monitor the patient's usage and remotely lock or unlock the user delivery device. A method of monitoring cannabis usage in memory impaired patients to ensure compliance with a treatment plan is provided.

Abstract: Embodiments of the present systems and methods may provide techniques to predict the success or failure of a drug used for disease treatment. For example, a method of determining drug efficacy may include, for a plurality of patients, generating a directed acyclic graph from health related information of each patient comprising nodes representing a medical event of the patient, at least one first edge connecting the first node to an additional node, each additional edge connecting nodes representing two consecutive medical events, the edge having a weight based on a time difference between the two consecutive medical events, capturing a plurality of features from each directed acyclic graph, generating a binary graph classification model on captured features of each directed acyclic graph, determining a probability that a drug or treatment will be effective using the binary graph classification model, and determining a drug to be prescribed to a patient based on the determined probability.

Abstract: A computer system for transforming a user interface according to multiple machine learning models includes a back-end timing circuit. The back-end timing circuit is configured to determine model selection parameters including an assigned pharmacy of a fill, a line of business, a time that a back-end system will receive the fill, a back-end processing channel, or a queuing priority, and select one of the machine learning models to generate a prediction of a back-end time indicating an amount of time to complete a set of back-end processes to prepare the fill for shipping. The back-end timing circuit is configured to determine a transit time corresponding to physical delivery of the fill to an address of a user. A notification circuit is configured to selectively produce a modification of the user interface based on a user promise date.

Abstract: A visual indicator of a smart device and a visual indicator of a medication source device may be controlled to produce a same type of visual output based on a communication established between the medication source device and the smart device, The medication source device may be connected to a lumen, the smart device may be configured to be connected to the lumen, and the same type of visual output may be associated with the lumen. A compatibility of a first type of medication delivered or scheduled to be delivered via the lumen to a patient and a second type of medication delivered or scheduled to be delivered via the lumen to the patient may be determined to an indication of whether the second type of medication is compatible for delivery via the same lumen associated with the same type of visual output.

Abstract: Systems and methods to determine and ensure proper usage technique of a respiratory medicament device for a respiratory ailment. Medication data relating to a medication plan for a patient is collected and used to determine the respiratory medicament device type in use. For respiratory medicament device types requiring multiple consecutive uses, use data is collected and used to determine proper or improper use technique based on the timing between consecutive uses of the respiratory medicament device. Notification of proper or improper usage technique are provided based on the determined usage technique. Real-time monitoring of the use data is used to provide directions on the required timing of consecutive uses of the respiratory medicament device and thus ensure proper usage technique.

Abstract: Systems and methods for maintaining, optimizing, or strengthening an immune system of a subject are provided.

Abstract: Systems and methods are disclosed for predicting a resistance index associated with a tumor and surrounding tissue, comprising receiving one or more digital images of a pathology specimen, receiving additional information about a patient and/or a disease associated with the pathology specimen, determining at least one target region of the one or more digital images for analysis and removing a non-relevant region of the one or more digital images, applying a machine learning system to the one or more digital images to determine a resistance index for the target region of the one or more digital images, the machine learning system having been trained using a plurality of training images to predict the resistance index for the target region using a plurality of images of pathology specimens, and outputting the resistance index corresponding to the target region.

Abstract: A radiotherapy feedback device is provided which provides one of a plurality of indication signals for presentation to a surgeon based on the status of a current surgical procedure. In some aspects, an indication signal is provided to the surgeon if the surgical procedure on an anatomical structure is of sufficient status so as to respond well to subsequent radiotherapy.

Abstract: A hand-held antenna system allows medical personnel to ascertain the presence or absence of objects (e.g., medical supplies) tagged with transponders in an environment in which medical procedures are performed. In use, the hand-held antenna system may be positioned proximate a patient at a time after a medical procedure, such as after child birth, so the system can scan the patient's body to determine the presence of objects tagged with transponders. The antenna system includes three antenna elements arranged mutually orthogonal to each other to transmit and receive signals in three coordinate directions. A controller is coupled to the antenna elements to transmit signals to the transponders and to receive response signals. The antenna system may operate in a static scan mode wherein the antenna system is held in a fixed position by a user and a dynamic scan mode wherein the antenna system is moved by a user.

Abstract: A method of evaluating a vessel of a patient is provided. The method includes outputting, to a display device, a screen display including: a visualization based on pressure measurements obtained from a first instrument and a second instrument positioned within the vessel of the patient while the second instrument is moved longitudinally through the vessel and the first instrument remains stationary within the vessel; and a visual representation of a vessel; receiving a user input to modify the visualization to simulate a therapeutic procedure; and updating the screen display, in response to the user input, including modifying the visualization based on the user input. A system for evaluating a vessel of a patient is also provided. The system includes first and second instruments sized and shaped for introduction into the vessel of the patient; and a processing system communicatively coupled to the first and second instruments and a display device.

Abstract: The systems and methods of present invention analyzes a recipe's nutrition values, by using a data base to determine the nutrition values of the meal ingredients and displays dynamically in real time the nutrition analysis of consumer customizable recipes. The method and system involves calculation of nutrition value based on actual weight measurement of the ingredient, rather than the desired value required by the recipe.

Abstract: A nutrition and fitness system has one or more computer devices and computer memory, the computer memory storing executable code that, when executed, enables the computer system to perform a process. The process includes the steps of first determining a basal metabolic rate of the user based upon his or her age, height, gender, and weight. Next, a plurality of food options and a plurality of fitness options are provided, and selected food options are received from the plurality of food options, and selected fitness options are received from the plurality of fitness options. A shopping list is provided of all of the ingredients necessary to prepare the selected food options selected by the user.

Abstract: A method of using chatbots defined as digital services for personalized support for stress management is provided. A chatbot stimulates conversation with human users. A suite of chatbots is a group of functionally and broadly domain-related multiple chatbots, which nevertheless have different identities and/or different knowledge sub-domains which are presented to the user. The specific stress management addressed herein is related to daily stressors which are defined as daily acute issues such as deadlines or difficult social interactions that can generate perceived stress whose intensity can range from mild to severe. As a routine part of everyday life, these stressors are normally repetitive, and their negative effects can be cumulative if they are not appropriately dealt with in a timely way. The method of using chatbots delivers micro-interventions which lower barriers in time and commitment for users in daily stress management.

Abstract: The present embodiments relate generally to a system and method for creation of a patient account on a medical imaging system during a medical imaging examination. The method may involve operating a processor to: acquire a set of medical imaging data during the medical imaging examination, the set of medical imaging data being acquired in association with a logged-in medical professional account on the medical imaging system; display a new patient account prompt to initiate creation of the patient account; receive a patient identifier to initiate the creation of the patient account; and use the patient identifier to initiate the creation of the patient account, the patient account to be used for accessing at least a portion of the set of medical imaging data acquired during the medical imaging examination.

Abstract: A technique for configuring a medical imaging device by a set of acquisition parameters for acquiring a medical image is disclosed. A method implementation of the technique comprises selecting (S102) a reference image from a plurality of reference images, each of the plurality of reference images being stored in association with a set of acquisition parameters which has been used to acquire the respective reference image, and configuring (S104) the medical imaging device by the set of acquisition parameters stored in association with the selected reference image for acquiring the medical image.

Abstract: Disclosed herein are various embodiments of systems and methods for visualizing, analyzing, and managing telepresence devices operating in a telepresence network of healthcare facilities. The visualization and management system for telepresence devices may display a first viewing level that includes a geographical representation of the location of various telepresence devices. A user may selectively view a global view of all telepresence devices, telepresence devices within a particular region, and/or the details of a particular telepresence device. A user may also access a viewing level of a network of healthcare facilities. The user may view, analyze, and/or manage the healthcare network, telepresence device network, individual telepresence devices, connection rules, and/or other aspects of the healthcare network using the geographical visualization and management tool described herein.

Abstract: The disclosure provides a medical device and a method for synchronizing configuration information of the medical device. The method includes acquiring configuration information from a terminal device and/or a remote control center as target configuration information, where the target configuration information includes at least one of communication authority configuration information, medical parameter configuration information and display configuration information, and the terminal device and/or the remote control center has at least one configuration information. The method also includes setting a corresponding configurable option of the medical device according to the target configuration information so as to synchronize the configuration information of the medical device as the target configuration information.

Abstract: Systems and methods for automated generation of medical device communication software, cloud-based storage of medical device data, and user interface software for accessing medical device data, that meets one or more medical device standards set by government or industry regulatory bodies.

Abstract: A measuring device includes a weighing unit configured to measure a mass value of a urine bag, a calculation unit configured to calculate at least one of a voided volume and a urinary output per unit time on the basis of the mass value weighed by the weighing unit, a touch panel display configured to display urinary output information related to at least one of the voided volume and the urinary output per unit time calculated by the calculation unit, and an output unit configured to generate a code including the urinary output information, output the code to the touch panel display, transmit the urinary output information by wireless communication, and/or print the urinary output information or the code.

Abstract: [Object] To provide a control device, an ophthalmic microscope system, an ophthalmic microscope, and an image processing apparatus by which setting of a microscope can be assisted. [Solving Means] A control device according to the present technology includes a control unit. The control unit controls, on the basis of a detection result of a surgical instrument using a captured image of an eye to be examined which is imaged by an image pickup element of an ophthalmic microscope via a front lens, at least one of an imaging condition of the image pickup element or whether or not to perform inversion processing of making an image of a region inverted through the front lens a normal image.

Abstract: Systems and methods for facilitating interactions between a medical device (e.g., an imaging device, a surgical tool, a robotic arm, etc.) and a patient using radio frequency (RF) co-localization are provided. The systems include a radio-frequency (RF) interrogator system, one or more first RF target devices for coupling to a patient support for supporting a patient with respect to whom a medical device is to perform a task, and one or more second RF target devices for coupling to the medical device. A controller determines a position of the patient support within an RF interrogator system reference frame, a first position of the medical device within the RF interrogator system reference frame, a transformation between the RF interrogator system reference frame and a patient support reference frame, and a second position of the medical device within the patient support reference frame.

Abstract: An example method for assigning specialized resources includes dynamically generating and presenting a plurality of inquiries based on selected symptom-dimension relationship pairs that are associated with symptom and user responses to previous inquiries. The method further includes computing probabilities of different diseases being a diagnosis based on a Bayesian model including computing odds of diseases given selected symptom-dimension relationship pairs and odds of diseases given risk factors indicated by user responses to inquiries, and assigning specialized resources based thereon.

Abstract: This invention is an evaluation support method executed by an evaluation support server communicably connected to a patient-side terminal device and a medical facility-side terminal device. The evaluation support method includes receiving at least two types of first measurement data based on a circulatory system biological phenomenon of a subject and at least two types of second measurement data having attributes different from attributes of the first measurement data, performing data analysis processing for determining a reference value and an estimation value based on the first measurement data and the second measurement data, and outputting a predetermined graph illustrating the reference value and the estimation value.

Abstract: A virtual caregiver (VC) computing device may be provided. The VC computing device may include at least one processor in communication with at least one memory device, at least one sensor, and a payment processing network. The at least one processor may be configured to receive task data, generate, based on the task data, a task including a task identifier, a fulfillment condition, and a time deadline, store the generated task in a task database, receive, from the at least one sensor, sensor data, retrieve, from the payment processing network, transaction data, compare at least one of the received sensor data and the retrieved transaction data to the fulfillment condition to determine that the fulfillment condition has occurred, and record, in the task database, the task as fulfilled based on the determination that the fulfillment condition has occurred.

Abstract: Provided herein are systems and methods for providing dental care to patients of a dental practice. The systems and methods can include virtual consultation hardware, software, and process flows that enable an expert dentist to focus solely on examining new and current patients, without the need to perform surgeries or in-person dental care. In one implementation, an expert dentist performs virtual consultations of new and current patients. The virtual consultation can include video conferencing, phone calls, texts, or emails. The expert dentist can review the patient's dental history, concerns, needs, and current diagnostics to prepare a treatment plan for the patient.

Abstract: Technology for applying explainable artificial training algorithms (XAI) to training machine learning algorithms for identifying potentially developing computer vision syndrome (CVS), CVS and/or recommended remedial action(s) that a user can perform to counter potentially developing CVS and/or existing CVS. In some embodiments, the XAI includes a Contrastive Explainability model. In some embodiments, the training performed by the XAI includes assigning weight factors respectively to CVS input parameters (for example, blink rate) based upon how strong the respective CVS input factor is correlated with development of CVS in the user.

Abstract: A system determines patient eligibility for a medical protocol. The system includes a medical protocol library containing information relating to a plurality of medical protocols. The information includes eligibility rules and compliance rules for the plurality of medical protocols. The system also includes a sensor and medical device interface configured to receive patient data from one or more sensors and/or one or more medical device. The patient data relates to the eligibility rules and/or the compliance rules for at least one of the medical protocols. The system also includes a protocol eligibility module configured to determine patient eligibility for at least one of the medical protocols as a function of the received patient data. Furthermore, the system includes a user interface configured to display an indication that the patient is eligible for the protocol.

Abstract: Systems and methods of managing payments for services or products are disclosed. Billing system data is extracted or accessed to provide business intelligence and. Visit charges from multiple billing systems can be aggregated to guarantor accounts within or across multiple billing systems and provide a single statement of charges for a given time period. Accounts are accessible online. Accounts can be linked to delegate management authority of a first guarantor's account to a second (manager) guarantor. Visit charges for linked accounts are included in the manager guarantor's statement an online access. Open charges balances can be brokered or transferred to a new asset holder. Pre-determined payment options can be configured by a provider, asset holder, and/or potential asset holder. The pre-determined payment options can include an option for financing a balance. A configurable financing option may enable a guarantor to request terms and receive automatic approval, subject to authorized terms.

Abstract: A method displays patient eligibility and/or compliance with a medical protocol. The method provides a display showing a respective patient identifier for a plurality of patients. The method receives information relating to a plurality of medical protocols. The information includes eligibility rules and compliance rules for each of the plurality of medical protocols. The method receives patient data from one or more sensors and/or one or more medical devices. The received patient data relates to the eligibility rules and/or the compliance rules for at least one of the medical protocols. The display indicates that at least one patient is eligible for an eligible protocol, and that at least one patient is enrolled in an active protocol. A dynamic concordance rate is calculated for the at least one patient that is enrolled in the active protocol. The display indicates the dynamic concordance rate.

Abstract: A system for determining patient eligibility and compliance with a medical protocol includes a medical protocol library containing information relating to a plurality of medical protocols. The information includes eligibility rules and compliance rules for each of the plurality of medical protocols. Each compliance rule has one or more parameters. The system has a sensor and medical device interface. The received patient data relates to the eligibility rules and/or the compliance rules for at least one of the medical protocols. A protocol eligibility module is configured to determine patient eligibility as a function of the received patient data and the eligibility rules relating to the at least one protocol. A protocol compliance module is configured to determine, after the at least one patient is enrolled in an active protocol, a dynamic concordance rate of the at least one patient.

Abstract: A computer-implemented system includes a treatment device configured to be manipulated by a user while the user performs a treatment plan, a patient interface, and a computing device configured to: receive treatment; write to an associated memory, configured to be accessed by an artificial intelligence engine, treatment data, the artificial intelligence engine being configured to use at least one machine learning model to, using the treatment data, generate at least one of a treatment scheduling output prediction and an appointment output; receive, from the artificial intelligence engine, the at least one of the treatment scheduling output prediction and the appointment output; and selectively modify, using the at least one of the treatment scheduling output prediction and the appointment output, the at least one aspect of the treatment plan.

Abstract: A computer-implemented method includes receiving, by a computing device, a particular textual description of a scene. The method also includes applying a neural network for text-to-image generation to generate an output image rendition of the scene, the neural network having been trained to cause two image renditions associated with a same textual description to attract each other and two image renditions associated with different textual descriptions to repel each other based on mutual information between a plurality of corresponding pairs, wherein the plurality of corresponding pairs comprise an image-to-image pair and a text-to-image pair. The method further includes predicting the output image rendition of the scene.

Abstract: Systems and methods are disclosed for determining the appropriateness of medical interventions. In one embodiment, a machine learning system for determining the appropriateness of a selected medical intervention includes health-related data sources, the health-related data sources providing at least one data file of a first type, and a second data file of a second type. A machine learning module is configured to receive the first and second data files, perform a normalization procedure on at least one of the first and second data files, and apply at least one previously trained machine learning model to the normalized data files to produce a prediction output. The prediction output may include a confidence level associated with an appropriateness of the selected medical intervention.