Abstract: Systems and methods disclosed for recommending healthy actions for a subject by using a DNA sequencer to generate genetic information; aggregating genetic information, health or beauty trend data, and health response from a patient population; deep learning with a computer to generate at least one computer implemented classifier that predicts matching health protocols, treatment regimes, or products based on the genetic information, health trend data, and health product response from a patient population; and recommending one or more actions, protocols, or products, for the subject.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting toxicity of molecules.

Abstract: A method is provided for determining soil properties for an area of land, from soil spectrum data. In an embodiment, the method includes receiving soil spectrum data records from hyperspectral sensors that represent a mean soil spectrum of a specific geo-location of the area of land and removing interference signals from the spectrum data records to create soil spectral bands. The method also includes predicting a plurality of soil property datasets based on a partial least-square regression and the soil spectral bands and selecting specific soil property datasets from the plurality of soil property datasets to represent soil properties of the specific geo-location, wherein the specific soil property datasets include property data and spectral band data for spectral bands used to determine the property data. The specific soil property datasets may then be used to generate a crop prescription of recommended hybrid seeds or population densities for the specific geo-location.

Abstract: An ophthalmic device for treating an eye includes a laser source, a scanner system and an application head with a focusing optic and a patient interface for docking the application head onto the eye. Moreover, the ophthalmic device includes a measurement system for optically capturing eye structures when the application head is docked to the eye and a circuit which is configured to determine reference structures of the eye, which are arranged in ring-shaped fashion about the center axis of the anterior chamber of the eye, from the captured eye structures and to arrange a defined three-dimensional treatment model with respect to these reference structures in order to process a three-dimensional treatment pattern in accordance with the arranged three-dimensional treatment model in the eye.

Abstract: A system and method for identifying relationships using relational networks. A method includes applying a generative relational network (GRN) in order to create a model of relationships between entities. The GRN includes multiple sets of nodes, where each set of nodes includes a respective set of machine learning models. The sets of nodes include dominance factor nodes and evolution of internal component nodes, where the dominance factor nodes define a dominance factor based on change intensity and change frequency, and the evolution of internal component nodes define evolution with respect to changes over time. Relationships among the entities are simulated using the model, and at least a portion of the relationships are eliminated for a target interaction based on the simulation results. The remaining relationships are tested with respect to the target interaction in order to identify the target interaction.

Abstract: Ancestry deconvolution includes obtaining unphased genotype data of an individual; phasing, using one or more processors, the unphased genotype data to generate phased haplotype data; using a learning machine to classify portions of the phased haplotype data as corresponding to specific ancestries respectively and generate initial classification results; and correcting errors in the initial classification results to generate modified classification results.

Abstract: Methods and systems for inference generation are disclosed. To manage inference generation, a system may include an inference model manager and any number of data processing systems. The inference model manager may represent an inference model as a bipartite graph in order to obtain portions of the inference model. Each portion of the inference model may be distributed to one data processing system so that the data processing systems may collectively generate inferences usable by a downstream consumer. Portions of the inference model may be obtained so that each portion matches the available computing resources of a data processing system throughout the distributed environment. In addition, the portions may be obtained in order to reduce inter-data processing system communications during execution of the inference model.

Abstract: A method for determining biting occlusion of a patient's teeth including generating a first 3D digital model of the patient's lower arch in non-occlusion. A second 3D digital model of the patient's upper arch in non-occlusion may be generated. A third 3D digital model of the patient's upper and lower arches in biting occlusion may be generated. The first and second 3D digital models May be aligned with corresponding teeth of the third 3D digital model to generate a fourth 3D model of the patient's teeth in biting occlusion.

Abstract: Embodiments of the present disclosure may include a system for associating dental and medical data the system including a processor. Embodiments may also include a memory containing instructions that instruct the processor to receive dental data including a plurality of dental images representative of at least a surface of dental tissue of a patient. Embodiments may also include receive medical data representative of the patient. Embodiments may also include generate training data as a function of a correlation between the dental data and the medical data. Embodiments may also include input the training data into a machine learning algorithm. Embodiments may also include train a machine learning model as a function of the training data and the machine learning algorithm.

Abstract: Computer-implemented methods of designing an antibody that will bind to a target epitope are disclosed. In one arrangement, the method comprises identifying one or more hotspot residues that will each bind to a corresponding one of one or more hotspot sites on the target epitope. Candidate antibody structures are selected from a database such that characteristic atoms within the antibody structure and hotspot characteristic atoms can be superimposed computationally with an averaged spatial deviation less than a predetermined threshold. A designed antibody is generated by replacing matching residues with different residues such that a predicted affinity is increased.

Abstract: Methods, systems, and apparatuses are disclosed for radiation treatment of tumors based at least in part on patient-specific imaging information. The methods, systems and apparatuses include computer programs encoded on computer-readable media. The methods include acquiring imaging information relating to a target to be treated. The imaging information is non-anatomic imaging information relating to the target acquired from at least one imaging marker that reflects at least one of the metabolic, physiological and histological features of the target. The methods further include computing a radiation dose based at least on the imaging information.

Abstract: Systems, methods, and computer-readable media are provided for identification of patients having an elevated near-term risk of chronic kidney disease progression, including quantitatively predicting whether or not an elevated risk of progression of Stage 3 or Stage 4 chronic kidney disease is likely within a time interval of up to 36 months subsequent to computing the prediction. Based on the prediction, appropriate care providers may be notified so that the risk of CKD progression may be mitigated. In some embodiments, serial measurements are obtained of urine osmolality, and a challenge with an AVP V2 antagonist and serum sodium concentration is provided. From a time series based on the serial measurements, estimates of each variable's velocity and/or doubling-time may be determined. These values then may be combined via a multivariable mathematical model for providing a leading indicator of near-term future abnormalities in kidney function.

Abstract: A computer-implemented method of generating dose information for a region of patient anatomy includes determining a first set of dose values for a first three-dimensional (3D) image of the region, wherein each value in the first set of dose values is associated with a different voxel of the first 3D image, and wherein the first 3D image is associated with a specific application of dose to the region; determining a second set of dose values for a representative 3D image of the region, wherein each value in the second set of dose values is associated with a different voxel of the representative 3D image; determining a set of geometric error models for the representative 3D image of the region, wherein each geometric error model in the set of geometric error models indicates a geometric error between a voxel of the representative 3D image and one or more voxels of a treatment fraction 3D image of the region; and based on the second set of dose values and the set of geometric error models, determining a set of do

Abstract: A high brightness, wavelength-adjustable, deep-UV-C light source identifies, neutralizes, and validates the absence of one or more pathogens. An optical source using a Raman-based nonlinear optical amplification process converts low brightness continuous wave (CW) and Quasi-CW pump light into high brightness and high peak power optical UV-C radiation at a specific wavelength, pulse duration, repetition rate, and optical bandwidth for targeted pathogen identification, neutralization, and absence validation. A tunable Raman-based output operates at a wavelength between 400 nm and 460 nm, which is employed for Raman spectroscopic pathogen detection, and which is frequency doubled to the Deep-UV-C (DUV-C) spectral region of between 200 nm to 230 nm for fluorescence detection of potential pathogens.

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 split type precisely-anchorable transcatheter aortic valve system comprises a split transcatheter aortic valve anchoring stent (10) and a transcatheter artificial biological aortic valve (20), wherein the shape and structure of the transcatheter aortic valve anchoring stent (10) are matched with the real structure of the aortic valve after the patient's image data is subjected to three-dimensional reconstruction, the transcatheter aortic valve anchoring stent (10) is delivered to the aortic valve position of the patient to be released, deformed and combined with the aortic valve leaflet tissue and the subvalvular tissue of the patient; the transcatheter artificial biological aortic valve (20) is delivered into the transcatheter aortic valve anchoring stent (10) to be released, the valve stent is deformed to expand the valve to the functional state, the transcatheter aortic valve anchoring stent (10) is deformed again and combined with the expanded transcatheter artificial biological aortic valve (20), and m

Abstract: A method and apparatus of automatically locating in an image of a blood vessel the lumen boundary at a position in the vessel and from that measuring the diameter of the vessel. From the diameter of the vessel and estimated blood flow rate, a number of clinically significant physiological parameters are then determined and various user displays of interest generated. One use of these images and parameters is to aid the clinician in the placement of a stent. The system, in one embodiment, uses these measurements to allow the clinician to simulate the placement of a stent and to determine the effect of the placement. In addition, from these patient parameters various patient treatments are then performed.

Abstract: A bone strength simulation calculation method and device, and a storage medium. The bone strength simulation calculation method includes acquiring three-dimensional data of cancellous bone of a bone segment to be analyzed; obtaining a skeleton mechanical model according to the three-dimensional data; and performing feature analysis on the skeleton mechanical model to obtain skeleton strength data.

Abstract: Methods for providing results of orthodontic realignment simulations comprising: obtaining three-dimensional virtual models of dental arches, the models compiled from intraoral scans of a mouth; based on the shapes of the modeled dental arches, selecting matching predefined archforms; obtaining at least one of: a first set of rules that define anterior and posterior molar movement, a second set of rules that determine a path of tooth movement to the matching predefined archforms, or a third set of rules that define simulation mechanics for moving at least one tooth to a final position based on known endpoint data and the matching predefined archforms; and based on results from implementing at least one set of rules, determining final positions of the teeth in relation to the matching predefined archforms.

Abstract: A method for optimizing a knee arthroplasty surgical procedure includes receiving pre-operative data comprising (i) anatomical measurements of the patient, (ii) soft tissue measurements of the patient's anatomy, and (iii) implant parameters identifying an implant to be used in the knee arthroplasty surgical procedure. An equation set is selected from a plurality of pre-generated equation sets based on the pre-operative data. During the knee arthroplasty surgical procedure, patient-specific kinetic and kinematic response values are generated and displayed using an optimization process. The optimization process includes collecting intraoperative data from one or more surgical tools of a computer-assisted surgical system, and using the intraoperative data and the pre-operative data to solve the equation set, thereby yielding the patient-specific kinetic and kinematic response values. A visualization is then provided of the patient-specific kinetic and kinematic response values on the displays.

Abstract: A photonic device for splitting optical beams includes an input port configured to receive an input beam having an input power, a power splitter including perturbation segments arranged in a first region and a second region of a guide material having a first refractive index, each segment having a second refractive index, wherein the first region is configured to split the input beam into a first beam and a second beam, wherein and the second region is configured to separately guide the first and second beams, wherein the first refractive index is greater than the second refractive index, and output ports including first and second output ports connected the power splitter to respectively receive and transmit the first and second beams.

Abstract: Methods and systems for evaluating the biomechanical properties of a subject's spine for the purpose of optimizing a potential surgical intervention by selecting or designing surgical hardware fora spinal correction procedure. The system uses a simulated dynamic analysis configured to analyze, predict and improve the outcome of the surgical procedure by taking into account physiological, biomechanical, and anatomical factors. Machine learning algorithms use the computed distribution of forces and moments on the subject's spine, and compare the subject's results with those of patients from a reference population.

Abstract: A deep learning-based MRI examination and diagnosis system for displacement of a temporomandibular joint disc includes: an acquisition unit, configured to acquire a human head MRI image; a labeling unit, configured to obtain temporomandibular joint area images based on the human head MRI image, and label the temporomandibular joint area images to obtain a training set, the temporomandibular joint area images being classified into images in which a joint disc is in normal and abnormal positions in open and closed states; and a diagnosis unit, configured to construct a first temporomandibular joint disc displacement diagnosis model, and train a first jaw joint disc displacement classification model based on the training set to obtain a second temporomandibular joint disc displacement diagnosis model which is configured to classify and recognize temporomandibular joint area images to be diagnosed, and output a temporomandibular joint disc displacement examination and diagnosis result.

Abstract: A method for determination of molecular parameters for a configuration of a known single organic molecule embedded in an anisotropic environment generated by alignment media, said known single organic molecule comprising particles, is disclosed. The method comprising the steps of: a) Defining a three-dimensional grid that is aligned with the known atomic structure of the alignment medium; b) Placing the particles of the known single organic molecule on the respective grid points of the three-dimensional grid in relation to at least one assigned atom of the alignment medium; c) Determining the interaction between the particles of the single organic molecule and the alignment medium for a set of orientations and a plurality of configurations of the particles; d) Calculating anisotropic parameters obtainable by measuring with nuclear magnetic resonance (NMR) spectroscopy by use of the determined interactions for each of the plurality of configurations of the organic molecule.

Abstract: In one or more implementations, a method and system are disclosed in which at least one processor receives information associated with an upcoming arthroplasty and demographic factors of a patient in the upcoming arthroplasty. The processor(s) access i) procedure information representing arthroplasty previously performed for each of a plurality of patients and ii) implant information representing types and sizes of implants from a plurality of manufacturers. Further, the processor(s) determine respective unadjusted probabilities of each of a plurality of implant size options within a range of implant sizes, based on i) of at least one statistical model, ii) the accessed procedure information and the implant information, and iii) the demographic factors of the patient.

Abstract: The described technology may include processes to model acid-base homeostasis in normal patients and under acid-base disorder conditions. In one embodiment, a method may include an acid-base homeostasis analysis. The method may include, via a processor of a computing device: providing a physiological acid-base model configured to model acid-base homeostasis of a virtual patient, the physiological acid-base model to: determine a plurality of operating parameters for an HCO3/CO2 buffering system having renal and pulmonary regulatory mechanisms, determine acid-base information comprising a bicarbonate concentration, a carbon dioxide concentration, and a free hydrogen ions concentration via simulating the HCO3/CO2 buffering system, and determine predicted patient information based on the acid-base information. Other embodiments are described.

Abstract: Continuous monitoring of subject's cardiac system using biological signal(s) (BS) during day-to-day activities is essential for managing personal cardiac health/disorders, etc. Conventional systems/methods lack in improvising overall classification results and configured for specific device/signal say ECG or PPG and so on. Present disclosure provides systems and methods for classifying BS obtained from users, wherein BS are preprocessed to obtain filtered signals (FS). Corresponding feature extraction module is utilized for feature set extraction based on features in FS. The feature set is reduced and segmented into test and training data. Biological signal classification model(s) are generated using training data and a BCM is applied on test data to classify biological signals (BS) as one of Atrial Fibrillation (AF), a non-AF, a cardiac arrythmia disorder, or ischemia.

Abstract: A heating, ventilation, or air conditioning system (HVAC) design and operational tool includes one or more processors and memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations including obtaining a dynamic temperature model and a dynamic infectious quanta model for one or more building zones, determining an infection probability, and performing a plurality of simulations for a plurality of different equipment configurations using the dynamic temperature model, the dynamic infectious quanta model, and the infection probability to generate results. The operations include generating, using the results of the plurality of simulations, at least one of design including one or more recommended design parameters data or operational data including one or more recommended operational parameters for the HVAC system and initiating an automated action using at least one of the design data or the operational data.

Abstract: A deep state space generative model is augmented with intervention prediction. The state space model provides a principled way to capture the interactions among observations, interventions, critical event occurrences, true states, and associated uncertainty. The state space model can include a discrete-time hazard rate model that provides flexible fitting of general survival time distributions. The state space model can output a joint prediction of event risk, observation and intervention trajectories based on patterns in temporal progressions, and correlations between past measurements and interventions.

Abstract: The invention relates to a method of visualising a dynamic anatomical structure (1), a computer program and a user interface. The method comprises (a) providing a sequence of three-dimensional medical images (M1, M2, M3, . . . MZ) of a dynamic anatomical structure (1) spanning a time period (T), (b) providing a dynamic model (14), in particular surface of the anatomical structure, (c) determining a volume of interest (40) containing an anatomical feature of interest (3) within each of the three-dimensional images, wherein the volume of interest (40) follows the position and/or the shape of the anatomical feature of interest (3) across the time period and wherein the volume of interest (40) is smaller than the complete field of view of the three-dimensional medical images (M1, M2, M3, . . .

Abstract: The invention relates to a material for use as a pad in high field and/or very high field magnetic resonance imaging instrument, comprising at least one polar solvent having a melting point of 14° C. to 50° C., a dispersant and a dielectric charge. The invention relates also to a pad used in field of high field and/or very high field magnetic resonance imaging made of at least such a material.

Abstract: Disclosed herein are systems, methods, and software for providing a virtual environment with enhanced visual and haptic detail. In some embodiments, the haptic tool and haptic target are assigned affordance and susceptibility values, respectively, that are used to determine visual and haptic feedback.

Abstract: A system and method for classifying compartments at a security checkpoint includes classifying a compartment into a first category or a second category using a first stage neural network that analyzes a three-dimensional representation of the compartment extracted from an imaging device coupled to the computing system, and in response to classifying the compartment into the second category, screening the compartment using a second stage neural network that performs image segmentation to isolate a hazardous object present in the compartment.

Abstract: A system and method for diagnosing, determining treatment, and determining prognosis of health, performance, fitness, training regimen, and breeding condition of an animal subject using expert systems, data integration, imaging and 3D scanning technology are disclosed. The system and method uses data integration, imaging and 3D scanning technology and other methods to collect data in a very precise and repeatable process. The system and method uses an AI expert system with deep learning analysis to analyze health history of an animal, performance of the animal, and breeding potential of the animal. This approach provides a highly accurate, repeatable and unbiased method to evaluate an animal and to recommend diagnosis and treatment.

Abstract: A method (20) for functional classification of luminaires (101a-d) arranged as a grid (100) has luminaires (101a-d) with at least two different sensors (103, 105, 107), such as at least two of a light sensor (103), an acoustic sensor (105) and a motion sensor (107). Output signals of the sensors (103, 105, 107) are supplied to a controller (109), and are wirelessly forwarded (23) along with timestamps and luminaire IDs to a gateway and then transmitted to a central database (403). The timestamps are used to correlate the sensor information signals (130) over a defined period of time, and to generate (27) functional classification information based on the correlations found. The functional classification information indicates a likelihood function of a certain usage of each luminaire, out of a given set of usage functions.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and a memory comprising instructions which, when executed by the at least one processor, causes the at least one processor to implement a real-time prediction engine for real-time predication of chemical properties through combining calculated, structured, and unstructured data at large scale. Offline components executing within the real-time prediction engine store a computational representation for each of a plurality of chemical structures in a unified storage. Each computational representation maps a respective chemical structure to a vector of calculated chemical structure features and properties, unstructured chemical features and properties, and structured chemical features and properties. The offline components train a computational real-time predictive model based on the computational representations.

Abstract: Described herein is a method for detecting changes in blood flow in a tissue portion and/or body portion of an individual. The method can be used to detect any sort of pathology, trauma or insult which results in blood flow change. Specifically, this method uses hyperpolarized 129Xe MRI to detect xenon perfusion changes in tissues such as brain tissue that corresponds to changes in blood flow, for example, changes caused by functional activities of the brain or regions of the body where blood flow may be compromised.

Abstract: Provided herein are methods for predicting chemotherapy benefit. The invention predicts chemotherapy benefit based on the expression analysis of biomarkers, e.g., RNA biomarker transcription analysis, taken from a tumor sample. The biomarker expression data can be combined with clinical variables, e.g., tumor size and nodal status, to generate a profile that predicts the benefit of including chemotherapy as a treatment decision.

Abstract: The invention relates to a regions identifying apparatus (1) for identifying regions in an image like a computed tomography image showing a brain. A model providing unit (6) provides a three-dimensional model of a head of a living being, wherein the three-dimensional model includes Alberta Stroke Program Early CT Score (ASPECTS) regions of a brain, and a regions identifying unit (7) identifies ASPECTS regions in the three-dimensional image by applying the three-dimensional model to the three-dimensional image. This allows for an accurate, automatic identification of the ASPECTS regions independently of the orientation of the head in an imaging system, independently of an image slice thickness and also independently of a respective user like a physician. This leads to imaging an improved accuracy of determining the ASPECTS regions which allows for an improved quantification of ischemic changes in the brain after stroke. This in turn also allows for an improved treatment recommendation.

Abstract: The invention provides methods of transforming photosynthetic organisms, such as green algae. The methods involve methylating one or more DNA fragments of a DNA construct and transforming the one or more fragments into the photosynthetic organism. The DNA fragments can be the product of a DNA amplification procedure, such as PCR or a PCR-like procedure. In one embodiment the one or more fragments of DNA that comprise a DNA construct are dam methylated prior to being transformed into the photosynthetic organism.

Abstract: A system for use during a surgical procedure includes a control unit configured to obtain a first anatomical characteristic of a patient; measure a second anatomical characteristic of a patient; create a targeted second anatomical characteristic; and convert at least one of the measured second anatomical characteristic and the targeted second anatomical characteristics to a patient position.

Abstract: Disclosed is a method for assessing a characteristic of a drug, comprising treating a tissue sample with the drug; extracting from the tissue sample at least one feature of the tissue sample as treated; providing the at least one feature to an engine; obtaining a prediction from the engine; and associating the prediction with the drug.

Abstract: In one embodiment, a method includes receiving identities of features of a first composition, and receiving a value of a property of the first composition. A learning model is trained using values of predefined characteristics of the features of the first composition, and the value of the property of the first composition. The learning model is then provided identities of second features of a second composition. Using the learning model, a value of a property of the second composition is determined and displayed.

Abstract: An apparatus and modeling method of the present invention includes the successive steps of generating cartographic data representative of points belonging to a glenoid surface; distinguishing from among the cartographic data a first group of cartographic data corresponding to a first part of the glenoid surface, the first surface part being situated farthest down in the vertical direction in relation to the scapula; calculating from the first group of cartographic data a first ellipsoid portion that coincides substantially with the first surface part; and obtaining a theoretical glenoid surface from the first ellipsoid portion. By virtue of the theoretical glenoid surface obtained by this method, it is possible to assist the surgeon in optimizing the position of implantation of a glenoid component and to produce a glenoid component “made to measure” for the scapula that is to be fitted with a prosthesis.

Abstract: A Hall effect sensor system includes a Hall effect sensor and a drive-sense circuit (DSC). The Hall effect sensor includes an input port to receive a DC (direct current) current signal and generates a Hall voltage based on exposure to a magnetic field. The DSC generates the DC current signal based on a reference signal and drives it via a single line that operably couples the DSC to the Hall effect sensor and simultaneously to sense the DC current signal via the single line. The DSC detects an effect on the DC current signal corresponding to the Hall voltage that is generated across the Hall effect sensor based on exposure of the Hall effect sensor to the magnetic field and generates a digital signal representative of the Hall voltage.

Abstract: A method of using an ankle exoskeleton device is provided herein. The method includes collecting one or more biomechanical data points from an individual. The method also includes developing individualized musculoskeletal simulations based on the one or more biomechanical data points. In addition, the method includes creating predictive simulations by modeling effects of an ankle exoskeleton device on the individualized musculoskeletal simulations. The method also includes utilizing established device-user relationships with real-time measurements to adjust device control. Lastly, the method includes optimizing design parameters of the exoskeleton device based on the predictive simulations and user responses.

Abstract: Methods and systems are provided for accurate and efficient identification and quantification of proteins. In an aspect, disclosed herein is a method for identifying a protein in a sample of unknown proteins, comprising receiving information of a plurality of empirical measurements performed on the unknown proteins; comparing the information of empirical measurements against a database comprising a plurality of protein sequences, each protein sequence corresponding to a candidate protein among a plurality of candidate proteins; and for each of one or more of the plurality of candidate proteins, generating a probability that the candidate protein generates the information of empirical measurements, a probability that the plurality of empirical measurements is not observed given that the candidate protein is present in the sample, or a probability that the candidate protein is present in the sample; based on the comparison of the information of empirical measurements against the database.

Abstract: Described are computational methods to reconstruct the chromosomes (and genomes) of ancestors given genetic data, IBD information, and full or partial pedigree information of some number of their descendants.

Abstract: Certain aspects relate to systems and techniques for surgical robotic arm setup. In one aspect, there is provided a system including a first robotic arm configured to manipulate a medical instrument, a processor, and a memory. The processor may be configured to: determine a minimum stroke length of the first robotic arm that allows advancing of the medical instrument by the first robotic arm to reach a target region from an access point via a path, determine a boundary for an initial pose of the first robotic arm based on the minimum stroke length and a mapping stored in the memory, and during an arm setup phase prior to performing a procedure, provide an indication of the boundary during movement of the first robotic arm.

Abstract: Systems and methods facilitate the planning and performance of hip and other surgeries. A computer model of a hip may be generated and displayed. A template of a hip component that replaces a native portion of the hip may be superimposed on the model. Changes in leg length, offset, or anterior-posterior (AP) position as well as a virtual distance between a landmark on the model and a location on the template may be determined. During surgery, a physical distance corresponding to the virtual distance may be obtained. The template may be moved relative to the model to match the physical distance, and new change values in leg length, offset, or anterior-posterior (AP) position may be determined. The new change values may be evaluated, and the surgery may proceed, or the process may be repeated using templates corresponding to alternative components.