Abstract: A system for providing images of a human scalp and associated information for assisting in hair transplant planning, the system includes a support and at least one camera selectively connectable to the support, the camera and/or the support being configured for acquiring at least one, preferably a plurality of scale calibrated overview images of the human scalp of a patient's head, preferably from different predefined angles, optical acquisition means, preferably a video-dermatoscope, being configured for acquiring a plurality of microscopic images within different regions of the scalp, a processing unit configured to process and/or analyse image data provided by the camera means and the optical acquisition means, in particular for measuring areas of the human scalp, identify and measure hair in microscopic images and/or quantitatively plan a hair transplant operation, wherein the processing unit comprises a user interface configured for interacting with a user.

Abstract: A method for the deconvolution of nucleic acid-containing substance mixtures using synthetically generated target nucleotide sequences. Starting from a plurality of nucleotides,, a plurality of different target nucleotide sequences (TNS) is generated according to a predetermined algorithm. At least one of the TNS generated is associated with at least one substance or substance combination and chemically coupled thereto. At least one substance mixture to be analysed and having at least two different TNS is provided and is sequenced according to a sequencing method., at the same time all TNS contained in the substance mixture are detected in a common sequence spectrum. To facilitate the deconvolution, the sequence spectra of a substance mixture should be deducted/subtracted from each other prior to and after a selection experiment.

Abstract: Various technologies relating to constructing an answer to a query are described herein, wherein the answer is in list form. The answer includes a header and a list element. A deep model receives content of a webpage that is deemed relevant to the query by a search engine and constructs the answer to the webpage upon receipt of the query.

Abstract: The disclosure relates to digital twin of cardiovascular system called as cardiovascular model to generate synthetic Photoplethysmogram (PPG) signal pertaining to disease conditions. The conventional methods are stochastic model capable of generating statistically equivalent PPG signals by utilizing shape parameterization and a nonstationary model of PPG signal time evolution. But these technique generates only patient specific PPG signatures and do not correlate with pathophysiological changes. Further, these techniques like most synthetic data generation techniques lack interpretability. The cardiovascular model of the present disclosure is configured to generate the plurality of synthetic PPG signals corresponding to the plurality of disease conditions. The plurality of synthetic PPG signals can be used to tune Machine Learning algorithms. Further, the plurality of synthetic PPG signals can be utilized to understand, analyze and classify cardiovascular disease progression.

Abstract: The present invention relates to peptides, proteins, nucleic acids and cells for use in immunotherapeutic methods. In particular, the present invention relates to the immunotherapy of cancer. The present invention furthermore relates to tumor-associated T-cell peptide epitopes, alone or in combination with other tumor-associated peptides that can for example serve as active pharmaceutical ingredients of vaccine compositions that stimulate anti-tumor immune responses, or to stimulate T cells ex vivo and transfer into patients. Peptides bound to molecules of the major histocompatibility complex (MHC), or peptides as such, can also be targets of antibodies, soluble T-cell receptors, and other binding molecules.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer storage medium, can be implemented to perform certain actions. The actions can include maintaining biological data related to multiple biological systems in a first format in a data repository, receiving a first selection of a biological system of the multiple biological systems for constructing a model that simulates a behavior of the biological system, retrieving a subset of data of the biological data that is associated with the first selection of the biological system, receiving a second selection of a modeling technique of the multiple modeling techniques for constructing the model, compiling the subset of biological data into configuration data of a second format that is specific to the modeling technique and that is different from the first format, and generating the model using the modeling technique and the configuration data.

Abstract: Described herein is a discovery Platform Technology for analyzing a biological system or process (e.g., a disease condition, such as cancer) via model building.

Abstract: A method of utilizing a computing device to correct source data used in machine learning includes receiving, by the computing device, first data. The computing device corrects the source data via an application of a covariate shift to the source data based upon the first data where the covariate shift re-weighs the source data.

Abstract: A computer-aided pre-operative planning tool with interactive surgeon interface for total knee replacement implements a method that allows implant size selection, implant positioning, and surgical cut planes estimation (with construction of corresponding surgical jig), based upon a series of coronal, axial and sagittal image slices of a patient's leg. Limb alignment and corresponding surgical cut planes are defined based upon joint anatomical-matching analysis to minimize joint wear and restore a pre-arthritic alignment (rather than an always fully neutral alignment). Using the interface, a surgeon has the option to adjust the varus/valgus alignment within recommended bounds between the pre-arthritic and fully neutral alignments. Implant size may be selected based on a best fit to the patient's leg obtained from analysis of the images.

Abstract: A device that includes a model training engine implemented by a processor. The model training engine is configured to obtain a set of data values associated with a feature vector. The model training engine is further configured to generate a set of gradients by dividing separation distances by an average separation distance and to compare each gradient to a gradient threshold value. The model training engine is further configured to identify a boundary in response to determining a gradient exceeds the gradient threshold value, to determine a number of identified boundaries, and to determine a number of clusters based on the number of identified boundaries. The model training engine is further configured to train the machine learning model to associate the determined number of clusters with the feature vector.

Abstract: Embodiments related to a method is described. The method comprises receiving an image file of a region of interest of an anatomy of a living organism, analyzing the image file and extracting image coordinates and density information of a plurality of points in the image file, training a neural network using collective information available in a database, registering the region of interest of the anatomy as a virtual version using an input from the neural network, and subsequently training the neural network using a user input from a user and the collective information available in the database. The collective information is recorded in the database with respect to a plurality of clusters of different physiological states of the living organism. The method further comprises performing a treatment on the region of interest. In an embodiment, the treatment is performed using the input from the neural network.

Abstract: Conduction velocity information for a cardiac region can be used to map the cardiac muscle fiber orientation of that region. In particular, for a plurality of locations within the cardiac region, a relationship between a local conduction velocity, a maximum local conduction velocity within the region, and a minimum local conduction velocity within the region is used to determine the cardiac muscle fiber orientation at the respective location. Even more particularly, when the local conduction velocity at the respective location equals the maximum local conduction velocity, the cardiac muscle fiber orientation is parallel to a direction of a conduction velocity vector at the respective location, and when the local conduction velocity at the respective location equals the minimum local conduction velocity, the cardiac muscle fiber orientation is perpendicular to a direction of a conduction velocity vector at the respective location.

Abstract: A bipartite graph structure is utilized to better store data. The bipartite graph structure may be used in a biochemical database to efficiently store a variety of molecules and processes that might occur between the molecules. Molecules are represented as molecule nodes, which may have metadata fields including a molecule name, a molecule type, a molecular formula, a sequence, a molecular charge, a set of molecular properties, and a set of component molecules. Processes operating on the molecules are represented by process nodes, which may have metadata fields including a process name, a set of process roles, a set of process properties, and a set of sub-processes. Edges, called roles, each associate a molecule node with a process node and represent the role the associated molecule plays in the associated process. The roles may contain metadata identifying the role type and the stoichiometry coefficient of the molecule in the process.

Abstract: Systems and methods are disclosed for determining anatomy directly from raw medical acquisitions using a machine learning system. One method includes obtaining raw medical acquisition data from transmission and collection of energy and particles traveling through and originating from bodies of one or more individuals; obtaining a parameterized model associated with anatomy of each of the one or more individuals; determining one or more parameters for the parameterized model, wherein the parameters are associated with the raw medical acquisition data; training a machine learning system to predict one or more values for each of the determined parameters of the parameterized model, based on the raw medical acquisition data; acquiring a medical acquisition for a selected patient; and using the trained machine learning system to determine a parameter value for a patient-specific parameterized model of the patient.

Abstract: An emotion estimation device includes: an emotion estimation unit estimating a user emotion as an emotion associated with an index value of a facial expression of a user between (i.e., involving/during a period having) a plurality of consecutive events, based on a correspondence between (A) the index value which is at least one of (i) a facial expression score of (i.e., representing) the facial expression of the user and (ii) a feature amount about a change of such facial expression score and (B) the facial expression of the user correlated with the plurality of consecutive events.

Abstract: A system may include a plurality of continuous conveyors configured for moving objects throughout a facility, and a plurality of sensors positioned at different locations within the facility for collecting telemetry data associated with the travel of the objects along the conveyors. The system may also include a computing device configured to store the telemetry data from the sensors in a database, generate an animation of the conveyors and the objects traveling along the conveyors within the facility based upon the telemetry data stored in the database, and play the animation on a display via a graphical user interface (GUI).

Abstract: Compositions and methods are provided for the cell-mediated targeted killing of diseased cells based on the presence of an intracellular antigen, rather than a surface-bound marker. The targeting cells are modified to express a cytotoxic protein that is delivered into a targeted cell, and after delivery is selectively activated by the presence of a cytoplasmic protein of interest. In one embodiment of the invention, the cytotoxic molecule is a Granzyme B (GrB) polypeptide. In the compositions of the invention, GrB is modified to render its cytotoxic enzymatic functions inactive, until the presence of an intracellular antigen unlocks the GrB molecule to enable enzymatic activities.

Abstract: Generating a three-dimensional radiation dose matrix for a patient for controlling the delivery of radiation dose to patients. The three-dimensional radiation dose matrix for the patient based on an intensity of radiation fields delivered by a radiation therapy delivery system that intersect with volume elements of a patient and determined by a predictive model. The intensity of the radiation fields at volume elements of the patient determined from spatial position data of the volume elements in a patient and radiation therapy delivery system data.

Abstract: Systems, methods, and devices, including computer-readable media, for managing operation of devices in complex systems and changing environments. In some implementations, a server system stores data indicating management plans for each of a plurality of different devices, each management plan indicating a device-specific set of program states for programs in a predetermined set of programs. The server system alters the management plans and enforces interdependence of the programs, and the server system generates a customized instruction that alters operation of the device according to the device-specific set of program states assigned in the altered management plan for the device. The server system causes each device to perform one or more operations of the device determined according to the device-specific set of program states assigned in the altered management plan for the device.

Abstract: One embodiment includes a cardiac ablation system, including an ablation probe including at least one ablation application element to ablate tissue in a chamber of a heart of a living subject, a tracking module to track a position of the at least one ablation application element within the heart, a memory to store a map of the chamber of the heart and store a different, respective default ablation-parameter set for each different region of the chamber, and processing circuitry to segment the map of the chamber into the different regions, receive a user input indicative of commencement of an ablation procedure, identify, responsively to the tracked position, a region of the chamber with which the at least one ablation application element is in contact, retrieve the respective default ablation-parameter set assigned to the identified region, and apply the retrieved default ablation-parameter set in controlling the ablation procedure.

Abstract: Biometric authentication of a subject utilizing bone and/or blood vessel (vein or artery) structures is provided. A vertice profile is generated from a non-invasive, multi-dimensional image scan of a subject or a portion thereof. The vertice profile is generated by identifying relative locations of divots and peaks on a surface of a bone structure or by identifying branch intersections and traversals of blood vessels. Additional variation techniques can be used for proof of life (verification of human subject). If authenticated, access to physical or digital/virtual assets is allowed.

Abstract: A method and system for modeling trends in crop yields is provided. In an embodiment, the method comprises receiving, over a computer network, electronic digital data comprising yield data representing crop yields harvested from a plurality of agricultural fields and at a plurality of time points; in response to receiving input specifying a request to generate one or more particular yield data; determining one or more factors that impact yields of crops that were harvested from the plurality of agricultural fields; decomposing the yield data into decomposed yield data that identifies one or more data dependencies according to the one or more factors; generating, based on the decomposed yield data, the one or more particular yield data; generating forecasted yield data or reconstructing the yield data by incorporating the one or more particular yield data into the yield data.

Abstract: The present invention relates to methods for evaluating the probability that a patient's diagnosis may be treated with a particular clinical regimen or therapy.

Abstract: A surgical imaging system comprising circuitry configured to accentuate an image characteristic of an area in captured images; identify the change of the image characteristic in the area; and identify the position of a physiological feature relative to the surgical device on the basis of the change in the image characteristic.

Abstract: Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration.

Abstract: A vegetation index calculation apparatus (10) is provided with a specification unit (11) that collates height distribution data indicating a distribution of the height of plants that exist in a target region with predicted height data of a crop targeted for calculation of a vegetation index, and specifies a region where the crop exists within the target region, and a vegetation index calculation unit (12) that calculates the vegetation index of the crop that exists in the region specified by the specification unit (11).

Abstract: Disclosed are methods for building a sequence activity model with reference to structural data, which model can be used to guide directed evolution of proteins having beneficial properties. Some embodiments use genetic algorithms and structural data to filter out uninformative data. Some embodiments use a support vector machine to train the sequence activity model. The filtering and training methods can generate a sequence activity model having higher predictive power than conventional modeling methods. Systems and computer program products implementing the methods are also provided.

Abstract: The invention relates to a method, a system and a computer program product for ascertaining a plant property of a useful plant in a field, wherein external data concerning the useful plant are stored in a memory unit, wherein a measurement device ascertains a raw measured value relating to at least one plant property, and wherein a calibrated or corrected value for the plant property is ascertained on the basis of the raw measured value taking account of the external data from the memory unit.

Abstract: Systems and techniques are disclosed for using machine-learning to identify potential opportunity patients that are more likely to adjust his/her preference for a healthcare provider or service. In some implementations, integrated patient data is obtained. A patient sequence feature vector, a provider sequence feature vector, and a set of entity-specific feature vectors are generated. A set of opportunity patients is identified. A notification is transmitted to the set of opportunity patients about a second treatment plan.

Abstract: A method and system use mathematical models and available patient information to virtualize a continuous glucose monitoring trace for a period of time. Such a method and system can generate the virtualized trace when episodic patient data is incomplete. Such a method and system can also rely on self-monitored blood glucose measurement information to improve the virtualized continuous glucose monitoring trace.

Abstract: A system and method for analyzing a data store of de-identified patient data to generate one or more dynamic user interfaces usable to predict an expected response of a particular patient population or cohort when provided with a certain treatment. The automated analysis of patterns occurring in patient clinical, molecular, phenotypic, and response data, as facilitated by the various user interfaces, provides an efficient, intuitive way for clinicians to evaluate large data sets to aid in the potential discovery of insights of therapeutic significance.

Abstract: A method for designing a primer supplied to a PCR reaction includes a primer designing step of defining a 5?-end-side base sequence of the primer so as to include a base sequence or its complementary base sequence, the base sequence enabling identification of, among thermal cycles in the PCR reaction, a synthesis cycle of a DNA molecule in an amplification product obtained by the PCR reaction performed with the primer, the identification being based on base-sequence data obtained by sequencing the amplification product.

Abstract: The present disclosure relates to a method for calculating or estimating at least one medical value based on several input values using artificial intelligence.

Abstract: An alertness maintenance apparatus includes a stimulation controller that is configured to cause a stimulation device to generate multiple types of temperature stimuli maintaining an alert state of a subject person, the temperature stimuli including a temperature stimulus to a hand of the subject person and also including a temperature stimulus to a face of the subject person or a temperature stimulus to a torso of the subject person via a seat on which the subject person sits.

Abstract: Multiple techniques for detecting defects in customized dental appliances are disclosed. In one technique, processing logic obtains one or more images of a customized dental appliance, obtains a digital model associated with the customized dental appliance, and performs segmentation on the one or more images to identify an area of the one or more images that comprises a representation of the customized dental appliance. Processing logic then registers the one or more images to the digital model, compares the area of the one or more images of the customized dental appliance with the digital model of the customized dental appliance, determines a difference between the area of the one or more images that comprises the representation of the customized dental appliance and the digital model of the customized dental appliance at a region, and determines whether the difference satisfies a defect criterion.

Abstract: A method for generating and updating a three-dimensional representation of a surgical site based on imaging data from an imaging system is disclosed. The method comprises the steps of generating a first image of the surgical site based on structured electromagnetic radiation emitted from the imaging system, receiving a second image of the surgical site, aligning the first image and the second image, generating a three-dimensional representation of the surgical site based on the first image and the second image as aligned, displaying the three-dimensional representation on a display screen, receiving a user selection to manipulate the three-dimensional representation, and updating the three-dimensional representation as displayed on the display screen from a first state to a second state according to the received user selection.

Abstract: Roughly described, a computer-implemented evolutionary system evolves candidate solutions to provided problems. It includes a memory storing a candidate gene database containing active and epigenetic individuals; a gene pool processor which tests only active individuals on training data and updates their fitness estimates; a competition module which selects active individuals for discarding in dependence upon both their updated fitness estimate and their testing experience level; and a gene harvesting module providing for deployment selected ones of the individuals from the gene pool. The gene database has an experience layered elitist pool, and individuals compete only with other individuals in their same layer. Certain individuals are made epigenetic in the procreation module, after which they are not subjected to testing and competition. Epigenetic individuals are retained in the candidate gene pool regardless of their fitness.

Abstract: A diagnostic system and method and an interconnected laboratory system comprising clinical diagnostic systems are presented. The diagnostic system comprises a sample preparation module, a liquid chromatography (LC) separation module coupled to the sample preparation module via a sample preparation/LC interface, a mass spectrometer (MS) module coupled to the LC separation module via an LC/MS interface, and a result calculation module for identifying and/or quantifying analytes or substances of interest contained in the samples and passed through the LC separation and MS modules.

Abstract: An apparatus is provided, which includes an obtainment portion configured to obtain a plurality of images corresponding to respective values of a parameter that affects occurrence of a target event; a generation portion configured to generate, for each of a plurality of thresholds relating to the parameter, a learning data set in which at least a part of the plurality of images is each given an attribute value, the attribute value varying based on whether the threshold is exceeded; a learning processing portion configured to perform, for each generated learning data set, learning processing on an estimation model that estimates an attribute of an image in response to input of the image; and an evaluation value output portion configured to output, for each estimation model, an evaluation value according to an estimation error of the estimation model.

Abstract: A method, computer program product, and system identifying a probability of a medical condition in a patient. The method includes a processor obtaining data set(s) related to a patient population diagnosed with a medical condition and based on a frequency of features in the data set(s), identifying common features and weighting the common features based on frequency of occurrence in the data set(s) to generate mutual information. The processor generates pattern(s) including a portion of the common features to generate a machine learning algorithm(s). The processor compiles a training set of data to use to tune the machine learning algorithm(s). The processor dynamically adjusts common features in the pattern(s) such that the machine learning algorithm(s) can distinguish patient data indicating the medical condition from patient data not indicating the medical condition. The processor applies the machine learning algorithm(s) to data related to the undiagnosed patient, to determine the probability.

Abstract: Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration.

Abstract: A method for identifying neoantigens that are likely to be presented on a surface of tumor cells of a subject. Peptide sequences of tumor neoantigens are obtained by sequencing the tumor cells of the subject. The peptide sequence of each of the neoantigens is associated with one or more k-mer blocks of a plurality of k-mer blocks of the nucleotide sequencing data of the subject; The peptide sequences and the associated k-mer blocks are input into a machine-learned presentation model to generate presentation likelihoods for the tumor neoantigens, each presentation likelihood representing the likelihood that a neoantigen is presented by an MHC allele on the surfaces of the tumor cells of the subject. A subset of the neoantigens is selected based on the presentation likelihoods.

Abstract: Apparatus and associated methods relate to providing secure gatekeeping of a communication transmitted from an implantable biomedical device to a remote internet-based website. A gatekeeping device wirelessly receives the communication transmitted from the implantable biomedical device. The communication wirelessly received is encoded by the implantable biomedical device using a first encoding algorithm. The gatekeeping device then decodes the communication wirelessly received. The gatekeeping device then encodes the communication decoded using a second encoding algorithm. The gatekeeping device relays the communication encoded using the second encoding algorithm to the remote internet-based website via the internet. In some embodiments, the gatekeeping device transmits a proximity signal to be used to determine proximity of the gatekeeping device to the implantable biomedical device.

Abstract: In one embodiment, a computing system accesses a plurality of images captured by one or more cameras from a plurality of camera poses. The computing system generates, using the plurality of images, a plurality of semantic segmentations comprising semantic information of one or more objects captured in the plurality of images. The computing system accesses a three-dimensional (3D) model of the one or more objects. The computing system determines, using the plurality of camera poses, a corresponding plurality of virtual camera poses relative to the 3D model of the one or more objects. The computing system generates a semantic 3D model by projecting the semantic information of the plurality of semantic segmentations towards the 3D model using the plurality of virtual camera poses.

Abstract: An implant positioning device and a method of using the device are described. The positioning device includes an end effector configured to contact an implant component during a surgical procedure, the end effector connected to an actuator for imparting an impact force to the implant component during the surgical procedure, a motor mechanically connected to the actuator and configured to move the actuator to produce one or more impacts on the end effector, thereby imparting the impact force to the implant component, and a control circuit coupled to the motor. The control circuit is configured to generate at least one motor control signal, transfer the at least one motor control signal to the motor, and, as a result of the at least one motor control signal, cause the motor to move the actuator to produce one or more impacts on the end effector.

Abstract: Systems and methods may be used to perform robot-aided surgery. A system may include a display device and a computing device including a memory device with instructions. The instructions can cause the system to access surgical data, calculate medial and lateral gap data, calculate a recommended component set, and generate a graphical user interface. Accessing surgical data can include accessing soft tissue data indicative of at least tension in soft tissues surrounding a surgical location. The graphical user interface can include an interactive trapezoidal graphic overlaid onto a graphical representation of a distal femur and a proximal tibia. The interactive trapezoidal graphic can include a graphical representation of a medial total gap, a lateral total gap, and a recommended spacer size. The interactive trapezoidal graphic can update in response to adjustments in implant parameters to assist in surgical planning.

Abstract: A method of radiotherapy treatment planning comprises optimizing a treatment plan based on at least one proposed dose map according to a set of clinical goals The resulting dose distribution is compared to the at least one clinical goal, and if the optimized dose distribution does not fulfil the at least one clinical goal, continuing with step d the dose map is adjusted before a new treatment plan is optimized. When the optimized dose distribution fulfils the clinical goals, the treatment plan is accepted.

Abstract: Virtual objects can be affixed to geo-registered tools (e.g., platform, knife, etc.) that interact with items (e.g., anatomic structures) within 3D volumes. For example, a 27-foot virtual wand can be affixed to a 1-foot long geo-registered wand and the resulting multi-part wand can be moved another two feet within a 3D volume in response to movement of the geo-registered wand to reach an object 30 feet away in the 3D volume. Various other interaction techniques are disclosed. The techniques may be used in a variety of applications possibly including, but not limited to, medicine, gaming, education, carpentry, manufacturing, or other industries.

Abstract: Described here are devices and methods for treating hypertension by forming a fistula between two blood vessels to reduce blood pressure of a patient. The fistula may be formed using a catheter having an electrode that is placed in a first blood vessel. In some instances, a desired amount of blood pressure is determined. In other instances, the hypertension is drug resistant hypertension.

Abstract: Described are systems and methods for administration of nitric oxide (NO) with use of left ventricular assists devices (LVADs), as well as systems and methods for monitoring the NO delivery devices and/or the LVAD.