Abstract: The present disclosure enables improved laser treatments by enabling better estimation of laser-tissue interaction to better inform the planning of a treatment path for a laser signal through a treatment region. An embodiment in accordance with the present disclosure uses a laser signal to generate a feature in the treatment region, generates a surface profile of the treatment region that includes the feature, compares that surface profile to another surface profile of the treatment region taken before the generation of the feature, and infers at least one property for at least one tissue type in the treatment region based on the comparison. In some embodiments, the feature is generated such that it includes a plurality of tissue types previously identified in the treatment region, thereby enabling inference one or more properties for each tissue type and/or locating one or more boundaries between tissue types.

Abstract: Disclosed herein are techniques related to glucose level management without carbohydrate counting. The techniques may involve obtaining contextual information for a meal, predicting amounts of glucose to be absorbed into a bloodstream of the patient over a duration of time due to consumption of the meal based on the contextual information for the meal, determining one or more amounts of insulin to counteract effects of the predicted amounts of glucose, and affecting insulin therapy based on outputting information indicative of the determined one or more amounts of insulin.

Abstract: Disclosed is a method of manufacturing a digital overdenture to improve manufacturing convenience and preciseness. The method of manufacturing the digital overdenture according to the present invention includes a series of operations such as generating a planning image, manufacturing auxiliary devices for manufacturing the overdenture such as a surgical guide, a flattening guide, an impression model, and the like, setting a holder device and correcting a temporary denture, obtaining a corrected-scanned image, and designing and manufacturing a digital overdenture.

Abstract: A low-dose imaging method includes receiving a sparse image set of a portion of a patient's anatomy; up-sampling the sparse image set, in the sinogram domain and using a first neural network, to yield an up-sampled sinogram; generating, from the up-sampled sinogram, an initial reconstruction; and removing, from the initial reconstruction and using a second neural network, one or more artifacts in the initial reconstruction to yield a final output volume.

Abstract: Generating a prediction for at least one implant size for use in arthroplasty is disclosed. Patient demographic factors are received and processed to generate at least one implant size prediction. The processing includes accessing procedure information representing joint replacement procedures previously performed for a plurality of patients and implant information representing types and sizes of implants from a plurality of manufacturers and determining, as a function of at least one statistical model and the accessed procedural information and implant information, unadjusted probabilities of implant size recommendations in a range of implant sizes. At least one processor is further configured for providing, in a graphical user interface operating on at least one user computing device, information representing the respective implant size recommendations and unadjusted probabilities.

Abstract: A system and method of modeling flow of a vasculature in near real-time, is described. A vessel segment of the vasculature is modeled by a reduced order model, and a remainder of the vasculature is modeled by a 0D model. The reduced order model is generated using boundary conditions generated by a 0D model of the entire vasculature. Moreover, the reduced order model of the vessel segment and the 0D model of the remainder of the vasculature can be coupled to simulate flow that can be compared to actual flow measurements to personalize the 0D model of the remainder of the vasculature for a patient. Accordingly, a physician can update parameters of the personalized vascular system model to predict the effects of treatment protocols, including exercise or therapeutic substances, on the patient. Other embodiments are also described and claimed.

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 identifies 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: Systems, methods, and computer-readable media are disclosed for patient-specific modeling of hemodynamic parameters in coronary arteries. Example methods may include performing computational fluid dynamics simulations using a patient-specific coronary artery anatomical model derived from medical imaging data and patient-specific boundary conditions derived from a continuously recorded blood pressure waveform to determine patient-specific hemodynamic parameters in a patient's coronary arteries.

Abstract: A method includes obtaining a planned position of a first prosthetic component for implantation in a joint, obtaining positional data indicative of relative positions of bones of the joint, calculating, based on the positional data and the planned position of the first prosthetic component, a planned separation distance for the joint, facilitating adjustment of the planned position based on a desired separation distance by updating the planned separation distance in response to an adjusted planned position of the first prosthetic component, and guiding installation of the first prosthetic component in the joint in the adjusted planned position.

Abstract: The present invention HUB relates generally to a collection of digital health hubs (HH) with artificial intelligence and wireless connectivity to autonomously communicate with each other to create a fully automated digital health social network, that can operate both autonomously with no interaction from human element, as well as through multiple layers of outside individuals and care facilities, including but not limited to family members, caregivers and medical care providers. The present invention HUB performs various tasks to monitor, record, diagnose and communicate health and safety of individuals. The HUB additionally triages users and analyzes their recorded health data to autonomously create public and private social groups, communicate packets of general and detailed information on their users' database within HH groups. HHs can join (dock into) or exit (un-dock) from one or more public or private social HH groups.

Abstract: Disclosed are a method for diagnosing a vascular disease and an apparatus therefor. A vascular disease diagnosing method according to an exemplary embodiment of the present disclosure includes: an information acquiring step of acquiring patient information for a diagnosis subject; an FFR processing step of applying a geometric feature parameter information generated based on the patient information to a first learning model to calculate fractional flow reserve (FFR) information; a CFD processing step of applying the geometric feature parameter information to computational fluid dynamics (CFD) to calculate flow feature information; and a diagnosing step of determining a vascular disease based on the fractional flow reserve information and the flow feature information and determine whether to perform a surgery on the vascular disease.

Abstract: Techniques for detecting fraud may include obtaining a merchant's financial data; determining, via a machine learning model, a first prediction of the merchant's industry; generating a first probability matrix based on the first prediction and the declared information regarding the merchant's industry; determining, via the machine learning model, a second prediction of the merchant's industry; generating a second probability matrix based on the second prediction and the declared information regarding the merchant's industry; obtaining a declared industry of a subject merchant in a runtime environment; determining, via the machine learning model, a predicted industry for the subject merchant; obtaining, based on the declared industry and the predicted industry of the subject merchant, a first value from the first probability matrix and a second value from the second probability matrix; and labeling the subject merchant for further investigation.

Abstract: A method and system for determining a cut line of an aligner are provided. The method comprises: obtaining 3D model data of a plurality of teeth and a gingiva of a subject; obtaining, using the 3D model data, for each one of the plurality of teeth, a respective one of a plurality of intersection loops; translating each one of the plurality of segmentation loops at a predetermined distance from the gingiva to generate a plurality of offset segmentation loops; identifying, within each one of the plurality of offset segmentation loops, a respective buccal portion and a respective lingual portion; sequentially joining respective buccal portions and respective lingual portions associated with each one of the plurality of offset intersection loops, thereby generating a single arch form loop; and applying the single arch form loop to an unfinished aligner to indicate the cut line on the unfinished aligner for producing the aligner.

Abstract: One aspect of the present disclosure include a method and system for providing an interactive virtual reality simulation for virtual reality training. A headset, controllers, and/or one or more sensors communicate with a processor to display the interactive virtual reality simulation on a user display within the headset. The interactive virtual reality training for use in facilitating virtually reality simulations including a microscope simulation, a bacteria streaking simulation, and/or a visually inspecting containers simulation.

Abstract: A clinical event outcome scoring system and method are used to determine a Severity of Illness Clinical Key (SICK) score, which is a probable degree of successful outcome for a patient about to undergo a specific clinical event, such as for example, coronary bypass surgery, hip replacement, bariatric surgery, discharge from a hospital for home recovery, a course of chemotherapy, radiation, or other treatment protocol. The system and method analyzes historical patient data to generate a statistical model for each specific clinical event of interest, which can then be used to determine a SICK score for a patient about to undergo the same clinical event. In some embodiments, the statistical model can be “fine-tuned” to render subcategories of statistical models tailored for certain patient populations about to undergo the same clinical event.

Abstract: Described are non-invasive methods and associated embodiments for determining an indicator of hemodynamic function using a lumped parameter model of cardiovascular function. The model uses data obtained using a non-invasive cardiovascular imaging modality such as Doppler echocardiography as well as blood pressure data. Various embodiments allow for the diagnosis, monitoring or prognosis of cardiovascular disease including complex valvular, vascular and ventricular diseases (C3VI) as well as prospectively assessing the effect of interventions on cardiovascular function and heart workload.

Abstract: Disclosed are systems, devices and methods for performing simulations using a multi-component Finite Element Model (FEM) of ocular structures involved in ocular accommodation.

Abstract: A method of evaluating a human joint which includes two or more bones and ligaments, wherein the ligaments are under anatomical tension to connect the bones together, creating a load-bearing articulating joint. The method includes: defining locations of one or more sockets, each socket representing a ligament attachment point to bone; interconnecting the one or more sockets with mathematical relationships that describe the kinematic physics of the one or more sockets relative to one another; providing spatial information to describe the movement of the sockets relative to one another; defining an initial kinematic state of the joint; defining a final kinematic state of the joint; using computer-based system to compute a difference between the initial and final kinematic states; and using a computer-based system to compute modifications to the mathematical relationships of the sockets to achieve a final kinematic state.

Abstract: Comprehensive molecular profiling provides a wealth of data concerning the molecular status of patient samples. Such data can be compared to patient response to treatments to identify biomarker signatures that predict response or non-response to such treatments. This approach has been applied to identify biomarker signatures that correlate with response of cancer patients to platinum-based chemotherapy. Described herein are data structures, data processing, and machine learning models to predict a probability of benefit of a treatment for a disease or disorder of a subject having a particular set of biomarkers, as well as an exemplary application of such a model to precision medicine, e.g., to methods for selecting a treatment based on a molecular profile, e.g., a treatment comprising platinum therapy.

Abstract: The invention provides peptides derived from a ubiquitous protein, and nucleic acids encoding such peptides. The invention extends to various uses of these peptides and nucleic acids, for example, as antigens for use in vaccines per se and in the generation of antibodies for use in therapeutic drugs for the prevention, amelioration or treatment of infections caused by sepsis-inducing bacteria. The invention particularly benefits immunocompromised hosts such as neonates, babies, children, women of fertile age, pregnant women, foetuses, the elderly and diabetics.

Abstract: Providing to a human operator a view of displayed images and a view of a piece of hygiene equipment, the apparatus comprising an interface to a sensor which is configured to generate a motion sensor output indicating a movement of a human operator, an access to a data repository which stores base data for generating images representing views of an environment in which tasks by said human operator can be performed, an image generation section configured to generate the images to be displayed based on said base data and said motion sensor output, a sequencer section configured to determine a sequence of situations in relation to a view by said human operator, and an event section which is configured to determine an event in relation to said piece of hygiene equipment and to allocate said determined event in relation to the sequence of situations.

Abstract: The present application relates to the cultivation of crop plants using plant protection agents. Certain embodiments relate to methods, a system, and a computer program product for determining partial-area-specific requirements of a crop plant for plant protection agents.

Abstract: Various embodiments are disclosed for a machine learning system for automatic genotype selection and performance evaluation using multi-source and spatiotemporal remote sensing data collected from an unmanned aerial system (UAS). A computing device may be configured to access images of a field having a first genotype and a second genotype of at least one crop or plant planted therein. The computing device may apply an image processing routine to the images to analyze the images of the field and determine characteristics of the first genotype and the second genotype of the at least one crop or plant planted in the field. The computing device may then apply a machine learning routine to forecast a first estimated yield of the first genotype and a second estimated yield of the second genotype using the identified characteristics of the first genotype and the second genotype.

Abstract: Systems and methods of predicting a Cannabis chemotype from genetic data include obtaining a training dataset comprising genetic data for at least one mature Cannabis plant, and corresponding chemotype information for the at least one mature Cannabis plant, generating a chemotype prediction model based on the training dataset, the chemotype prediction model being able to predict the chemotype of a mature Cannabis plant, receiving genetic data for a Cannabis seedling, and predicting, via the chemotype prediction model, the chemotype of the Cannabis seedling upon maturation.

Abstract: An apparatus and method are provided that tracks patient recovery following an orthopedic procedure. A statistical computing engine implements a predictive model of the patient's post-procedural state for the orthopedic procedure based on a database of patient demographic data, comorbidities, pre-procedural walking parameters, including steps taken, and the orthopedic procedure that the patient is undergoing. The pre-procedural walking parameters are populated from physical sensor data automatically collected from the patient. The predictive model uses machine learning and is trained using training data sets. The predictive model creates a temporal trendline of post-procedural walking parameters, including steps taken, and a temporal trendline of post-procedural pain level. A processor then compares the patient's actual post-procedural state to the predictive model of the patient's post-procedural state. The post-procedural walking parameters are also obtained from the physical sensor.

Abstract: In an approach for constructing an ensemble model from a set of base learners, a processor performs a plurality of boosting iterations, where: at each boosting iteration of the plurality of boosting iterations, a base learner is selected at random from a set of base learners, according to a sampling probability distribution of the set of base learners, and trained according to a training dataset; and the sampling probability distribution is altered: (i) after selecting a first base learner at a first boosting iteration of the plurality of boosting iterations and (ii) prior to selecting a second base learner at a final boosting iteration of the plurality of boosting iterations. A processor constructs an ensemble model based on base learners selected and trained during the plurality of boosting iterations.

Abstract: An augmented reality-based horticultural care tracking system to collect information about plants on a per plant or near per plant basis in order to identify issues and generate itineraries that include task lists for remedial courses of actions is disclosed. A network-enabled augmented reality device can be employed by operators of various growing operations in order to overlay digital information such as tasks, images, and related information in a real-time environment. The augmented reality device can communicate with administrative personnel at an operating station and/or intermediate servers in the network in order to send and receive status updates and notifications to properly execute the tasks in the itinerary and evaluate the courses of actions' efficacy.

Abstract: Virtual tools are used to manipulate aspects of a three-dimensional medical image volume. The virtual tools are registered with the image volume. Presentation of the image volume is manipulated by an image processor in response to use of the virtual tools. The virtual tools may be used to facilitate analysis of the image volume.

Abstract: Provided herein are methods of estimating subject-specific parameters of growth dynamics of a cancer tumor in a subject having cancer. The methods can be used to personalize treatment protocols for a subject, stage the given disease in the subject, measure response to therapy, phenotype for patient selection to participate in drug trials, measure stability of an anatomical structure, or predict rate of change of the given disease. Also provided are methods of predicting growth dynamics of a cancer tumor, and computer systems and computer-implemented methods for estimating subject-specific parameters of growth dynamics of a cancer tumor in a subject having cancer.

Abstract: According to one embodiment, a radiotherapy support apparatus has processing circuitry. The processing circuitry obtains an activity level distribution representing radiation resistance in a tumor area of a subject, and produces a first treatment plan in which a radiation administered dose to the tumor area changes within the tumor area in accordance with the activity level distribution.

Abstract: The risk analysis system according to the present invention includes: a storage apparatus which stores subject data including information related to health of a subject; an analyzer which analyzes a risk related to the health of the subject based on the subject data acquired from the storage apparatus; and an output apparatus which outputs an analysis result by the analyzer. The analyzer has: a risk estimating unit which estimates an event onset risk of the subject based on the subject data; and a medical expense predicting unit which predicts future medical expenses, which are medical expenses to be incurred in the future by the subject, based on the event onset risk estimated by the risk estimating unit and the subject data.

Abstract: Embodiments of the present disclosure relate generally to mobile computing technology and, more particularly, but not by way of limitation, to systems for generating and presenting a graphical user interface (GUI) that includes a presentation of an animated icon (e.g., a digital pet) on a display of a client device.

Abstract: Systems and methods for generating an integrated circuit (IC) chip design are described. One of the methods includes receiving, on a data sheet, by a server, electrical parameters of a system on chip (SoC) to be designed. The method further includes receiving physical parameters of the SoC on the data sheet, generating a first design of the SoC according to the electrical parameters and the physical parameters, and receiving test parameters for testing the first design. The method further includes testing, via a design verification tool, the first design by applying the test parameters to the first design, receiving a second design of a second SoC, and coupling the second design to the first design to generate a first IC chip design. The method includes arranging the first IC chip design to be included on a shuttle for fabricating a first IC chip.

Abstract: A compliance and effectiveness tracking engine system including a sensor system to obtain sensed sleep data for a sleep session for a user, and a user interface implementing a user data acquisition system to obtain perceived sleep data from the user after the sleep session. The system further includes a server system implementing a predictive engine to predicted sleep data for the user, based on user background data and transactional data reflecting one or more medical interventions for the user. The server implementing a compliance and effectiveness tracking engine (CETE) to compare the sensed sleep data, the perceived sleep data, and the predicted sleep data, and to determine effectiveness of the one or more medical interventions for the user, and compliance with a protocol associated with the one or more medical interventions.

Abstract: The risk analysis system according to the present invention includes: a storage apparatus which stores subject data including information related to health of a subject; an analyzer which analyzes a risk related to the health of the subject based on the subject data acquired from the storage apparatus; and an output apparatus which outputs an analysis result by the analyzer. The analyzer has: a risk estimating unit which estimates an event onset risk of the subject based on the subject data; and a medical expense predicting unit which predicts future medical expenses, which are medical expenses to be incurred in the future by the subject, based on the event onset risk estimated by the risk estimating unit and the subject data.

Abstract: A method of predicting a gene target sequence for a gene-modifying therapeutic, such as a CRISPR-based therapeutic, that includes the steps of determining a genomic dataset for one or more infectious bacterial samples isolated from one or more hospitals, and inputting the genomic dataset for the one or more infectious bacterial samples into a machine learning model to determine the presence of antimicrobial resistance genes.

Abstract: Improved computer-implemented tools for use in modeling/simulating spatial charge distributions for electrophysiological systems are provided. The improvements are in three areas: (1) the use of solid angles to calculate quantities of free charge and/or bound charge in calculation cells and/or the movement of quantities of free charge across one or more faces of a calculation cell; (2) the use of flattened calculations cells having only two faces with substantial areas as seen from the free charge and/or the bound charge of the electrophysiological system; and (3) the use of at least two spatial charge distributions, specifically, at least one for bound charge and at least one for free charge, so as to include the effects of relative dielectric constants greater than 1.0 for part or all of an electrophysiological system. The three improvements can be used individually or in combinations.

Abstract: Systems, methods and apparatus related to a self-preservation/self-protection system (SPS). The SPS system includes a local area situation awareness sensor suite (LASASS), multiple central pattern generator (mCPG) decision circuitries and related actuators. The SPS system utilizes the LASASS, mCPG circuitries and actuators to perform the desired processing and effectuate changes in the position of an object to be detected or avoided.

Abstract: An apparatus and method for scalable qubit addressing. For example, one embodiment of a processor comprises: a decoder comprising quantum instruction decode circuitry to decode quantum instructions to generate quantum microoperations (uops) and non-quantum decode circuitry to decode non-quantum instructions to generate non-quantum uops; execution circuitry comprising: an address generation unit (AGU) to generate a system memory address responsive to execution of one or more of the non-quantum uops; and quantum index generation circuitry to generate quantum index values responsive to execution of one or more of the quantum uops, each quantum index value uniquely identifying a quantum bit (qubit) in a quantum processor; wherein to generate a first quantum index value for a first quantum uop, the quantum index generation circuitry is to read the first quantum index value from a first architectural register identified by the first quantum uop.

Abstract: Method and system including displaying a first representation of a medication treatment parameter profile, displaying a first representation of a physiological profile associated with the medication treatment parameter profile, detecting a modification to a segment of the medication treatment parameter profile, displaying a modified representation of the medication treatment parameter profile and the physiological profile based on the detected modification to the segment of the medication treatment parameter profile, modifying an attribute of the first representation of the medication treatment parameter profile, and modifying an attribute of the first representation of the physiological profile are provided.

Abstract: The disclosure presents a new computer based model framework to predict drug effects over multiple time and spatial scales from the drug chemistry to the cardiac rhythm. The disclosure presents a new computer based model framework to predict drug effects from the level of the receptor interaction to the cardiac rhythm.

Abstract: Systems and methods are disclosed for receiving a target electronic image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning system to the target electronic image to identify a region of interest of the target specimen and determine an expression level of, category of, and/or presence of a biomarker in the region of interest, the biomarker comprising at least one from among an epithelial growth factor receptor (EGFR) biomarker and/or a DNA mismatch repair (MMR) deficiency biomarker, the machine learning system having been generated by processing a plurality of training images to predict whether a region of interest is present in the target electronic image, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the determined expression level of, category of, and/or presence of the biomarker in the region of interest.

Abstract: Disclosed herein are methods, systems, and processes to detect valid clusters and eliminate spurious clusters in cybersecurity-based computing environments. A cluster detection and elimination model is trained by accessing a dataset with raw data that includes data points associated with computing devices in a network and applying two or more different clustering methodologies independently to the dataset. The resulting cluster detection and elimination model is used to compare two or more clusters to determine whether a cluster from one clustering methodology matches another cluster from another clustering methodology based on centroid locations and shared data points.

Abstract: A user interface for a beer recipe creator may have a series of icons that may represent ingredients. A user may drag and drop or otherwise add the icons to containers on a display screen to add or remove ingredients to the recipe. With each added or removed ingredient, a set of descriptors may be updated. The descriptors may include numerical values of beer parameters as well as textual descriptions and visual descriptions. The system may allow a user to start with a desired beer style, and the parameters may show variances from the selected style. The system may generate an ingredients list, as well as a brewing recipe that may be transferred to a controller for a beer making machine. The system may adjust certain parameters that are controllable by the beer making machine to make flavor and other adjustments selected by a user.

Abstract: A method of designing a molecule for an environment of interest using a quantum computer includes providing a linear superposition of a plurality of molecular species, the plurality of molecular species being initially weighted by equal initial coefficients; determining a lowest-energy quantum state for the superposition of the plurality of molecular species in a vacuum environment and in the environment of interest using a quantum optimization process; calculating a difference in lowest energy states between the vacuum environment and the environment of interest for each molecular species to provide a cost of the superposition of the plurality of molecular species; performing a quantum optimization process to determine a minimum cost for the superposition of the plurality of molecular species and to determine updated coefficients weighting the plurality of molecular species; and identifying the molecule for the environment of interest based on a comparison of the updated coefficients.

Abstract: The systems and methods can accurately and efficiently determine a myocardial risk from a lesion disposed along a coronary segment using hemodynamic characteristic(s) associated with one or more sections of the corresponding lesion site. The method may include segmenting one or more lesion sites disposed along at least one arterial segment of the one or more arterial segments of the coronary model into one or more sections. Each lesion site includes a lesion. The method may include determining one or more characteristics for at least one section using at least the one or more characteristics associated with the at least one arterial segment. The one or more characteristics for the at least one section including hemodynamic force characteristic(s) (e.g., wall shear stress (WSS)). The method may include determining one or more risk indices for each lesion site using at least the hemodynamic force characteristic(s) for the at least one section.

Abstract: Computer-implemented method and system for monitoring dental implant comprising the steps of graphically simulating an anatomy of a provided dental prosthesis coupleable to a dental implant; simulating an optimized implant site for the dental implant as a function of implant parameters of the dental implant and first parameters of the optimized implant site; calculating a plurality of optimal dental implants; selecting a usable implant from the plurality of optimal dental implants; calculating first deviations between first parameters of the optimized implant site and first parameters of the usable implant; calculating second deviations between second parameters of the optimal dental implants not selected as usable implants and first parameters of the optimized implant site; calculating real optimized parameters of the optimized implant site as a combined function of first deviations and second deviations.

Abstract: An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a processor configured to obtain a computerized model of a plurality of vascular segments of a patient and create an unstenosed computerized model from the computerized model by virtually enlarging at least some locations of the vascular segments of the computerized model. The processor also determines vascular state scoring tool (“VSST”) scores based on characteristics of vascular locations along the vascular segments. The processor further determines a severity of stenosis for the vascular locations based on comparisons of first blood flow parameter values at the vascular locations in the computerized model to corresponding second blood flow parameter values at the same vascular locations in the unstenosed computerized model. A user interface of the device displays the severity of stenosis in conjunction with the VSST scores for the vascular locations.

Abstract: In a method of molecular scaffold hopping an interface of a scheduler computer sends instructions, prepared by the scheduler computer, to a job runner computer to perform a plurality of separate computational tasks. Each of the separate computational tasks includes calculating one or more chemical properties for a query molecule or molecules in a library of molecules. One or more of the plurality of separate computational tasks performed on the job runner computer are preemptible computing instances. Status indicators sent from the job runner computer are received by the interface for each of the plurality of separate computational tasks. The indicators are one of: incomplete, completed, or failed computing instances. The interface resends the instructions to the job runner computer that correspond to the separate computational tasks having the failed computing instance indicator to increase fault-tolerance against the separate computational tasks not attaining the completed computing instance indicator.

Abstract: Methods and apparatus for planning and/or carrying out a total knee replacement surgical procedure on a knee of a leg of a patient are described. Anatomical data for the leg of the patient is obtained, which allows the femoral mechanical axis, the tibial mechanical axis and the joint line of the knee to be determined. A planned proximal tibial cut angle and a planned distal femoral cut angle are determined. A total knee replacement procedure is carried out on the knee of the patient, wherein a distal femoral cut is made using the planned distal femoral cut angle and a proximal tibial cut is made using the planned proximal tibial cut angle.