Abstract: A medical image processing apparatus including processing circuitry configured to: obtain from medical imaging measurements, observations of one or more vector or tensor valued fields as projected from one or more 2D acquisition planes; use an optimisation procedure to determine from the observations a superset of 3D fields (which may be scalar, vector, or tensor) via a solution ansatz constrained by a system of partial differential equations, and output the plurality of these fields.

Abstract: The invention relates to a method for determining the microvascular resistance reserve, MRR, in the myocardium perfused by a normal or a stenotic coronary artery of a human patient, which method comprises the step of during rest condition of the patient: measuring the blood flow, Qrest, through the coronary artery; and further comprising the step of during rest condition or during maximum hyperemia of the patient: measuring the blood pressure, Pa, at a position proximal in the coronary artery or proximally of any stenosis, if present; and further comprising the steps of during maximum hyperemia of the patient: measuring the blood flow, Qmax, through the coronary artery; and measuring the blood pressure, Pd, at a position distal in the coronary artery or distally of any stenosis, if present, and wherein the microvascular resistance reserve, MRR, is determined by the additional step of calculating the microvascular resistance reserve as M ? R ? R = Q max Q rest ? P a P d , h ? y ? p ? e ? r

Abstract: A method includes receiving first sensor data pertaining to plant-related parameters of each of one or more first plants that performed well over time. The method also includes analyzing at least some of the first sensor data to generate a predictive model associated with the one or more first plants. The method further includes receiving second sensor data pertaining to plant-related parameters of each of multiple second plants. In addition, the method includes identifying at least one of the second plants to receive one or more interventions by applying the predictive model to the second sensor data. Identifying the at least one of the second plants includes identifying the at least one of the second plants as having at least one of the plant-related parameters that deviates from at least one of the plant-related parameters of the one or more first plants.

Abstract: In a general aspect, input data for a computer process are preprocessed by a preprocessor unit that includes a quantum processor. In some aspects, a preprocessor unit obtains input data for a computer process that is configured to run on a computer processing unit. Randomized parameter values are computed for variable parameters of a quantum logic circuit based on the input data. A classical processor in the preprocessor unit computes the randomized parameter values from the input data and a set of random numbers. A quantum processor in the preprocessor unit produces quantum processor output data by executing the quantum logic circuit having the randomized parameter values assigned to the variable parameters. Preprocessed data generated based on the quantum processor output data are then provided as the input for the computer process configured to run on the computer processing unit.

Abstract: This invention comprises compositions and methods to determine the prognosis of necrotizing enterocolitis.

Abstract: Methods and systems with 129Xe dynamic spectroscopy with a fitting function that includes one or more non-Lorentzians, optionally with a barrier Voigt, and signal processing for identifying cardiogenic oscillations for evaluating disease states, use in drug discovery or monitoring disease status.

Abstract: A system comprising a machine-readable storage medium storing at least one program and a computer-implemented method for collecting body measurements of a human user using a body measurement garment is provided. The body measurement garment comprises a plurality of sensors configured to produce a set of output data. The method may include receiving the set of output data from the body measurement garment and determining a plurality of body measurements from the output data. The method may further include generating a body shape model representing the shape of the body of the user. The method may also include generating a garment fit model representing the fit of a garment on the human user.

Abstract: A camera-based Transcranial Magnetic Stimulation (TMS) diagnosis and treatment head modeling system is provided and includes a 3D scanner, a positioning cap, and a smart terminal, where the 3D scanner and the smart terminal are electrically connected. A modeling method for the head modeling system includes: acquiring 3D image data of the head of a patient by a camera from different directions, and integrating the image data to obtain complete 3D image data; and then mapping, in combination with MNI brain space coordinates, a skull model obtained by brain 3D scanning in an MNI space to 3D head model data of the patient to obtain a head model highly matching the real head of the patient.

Abstract: The present invention involves orthopedic implants of small joints in human, in particular a truly patient-specific bone implanting system comprising the implant and surgical tools fabricated by additive manufacturing techniques based on the inputs conforming to each patient's anatomy and obtainable from a wide range of existing 3-dimensional imaging and image processing technologies, which offers a substantial progress in logistics, efficiency of surgical operation, and functionality of treated bones.

Abstract: Estimating a nerve-to-electrode distance involves applying a stimulus from a stimulus electrode to a nerve. Neural measurements of at least one evoked compound action potential are obtained, and processed in order to estimate an originating state of stimulation exhibiting at least one characteristic defined by a single fibre size. A single fibre model is then applied to produce a measure of the nerve-to-electrode distance. Also provided for is estimation of a distribution of recruited fibres. Measurements of a compound action potential are obtained from sense electrodes spaced apart along a neural pathway. A conduction velocity of the compound action potential is determined from the latency between the measurements. From the conduction velocity a dominant recruited fibre diameter is determined. A rate of dispersion of the compound action potential between the sense electrodes is determined. From the rate of dispersion a distribution of diameters of the recruited fibre population is determined.

Abstract: An exemplary computer-implemented method for administering one or more treatments to a plant in a greenhouse comprises: receiving data associated with the plant; providing the received data to a trained machine-learning prediction model to obtain: a first set of health predictions of the plant corresponding to a present time; and a second set of health predictions of the plant corresponding to a future time; determining whether the plant is unhealthy or lagging a growth trajectory based on: a first comparison based on the first set of health predictions and observed health of the plant at the present time, and a second comparison based on the second set of health predictions and a future production goal of the plant; if the plant is unhealthy or lagging the growth trajectory, identifying the treatments for the plant; and controlling one or more robots in the greenhouse to administer the treatments.

Abstract: Methods and systems for providing neuromodulation to a patient are disclosed. The disclosed methods and systems use sensed neural responses to construct and optimize models of the neural elements recruited during the neuromodulation. The models are used to estimate neural recruitment associated with a therapeutic effect and/or with side-effects to stimulation. The models can be used to adjust neuromodulation in a closed-loop fashion.

Abstract: Techniques facilitating density-functional theory determinations using a quantum computing system are provided. A system can comprise a first computing processor and a second computing processor. The first computing processor can generate a density-functional theory determination. The second computing processor can input a quantum density into the density-functional theory determination. The first computing processor can be operatively coupled to the second computing processor. Further, the first computing processor can be a classical computer and the second computing processor can be a quantum computer.

Abstract: This disclosure relates to systems and methods for managing patients of knee surgeries. A pre-operative patient questionnaire user interface is associated with a future knee operation of the patient. Patient input data is indicative of answers of a patient in relation to the pre-operative patient questionnaire. A processor of a computer system evaluates a statistical model to determine a predicted satisfaction value indicative of satisfaction of the patient with the future knee operation. The statistical model comprises nodes stored on data memory representing the patient input data and the predicted satisfaction value, and edges stored on data memory between the nodes representing conditional dependencies between the patient input data and the predicted satisfaction value. The processor then generates an electronic document comprising a surgeon report associated with the future knee operation to indicate to the surgeon the predicted satisfaction value.

Abstract: A computing system includes a processor and a memory having instructions stored thereon that, when executed by the one or more processors, cause the computing system to: receive yield data for a field and a spatial data set; process the yield data and the spatial data to generate a nitrogen loss spatial map layer; and generate a prescription. A computer-implemented method includes receiving yield data for a field and a spatial data set; processing the yield data and the spatial data to generate a nitrogen loss spatial map layer; and generating a digital agricultural prescription. A non-transitory computer readable medium includes program instructions that when executed by one or more processors, cause a computer to: receive yield data for a field and a spatial data set; process the yield data and the spatial data to generate a nitrogen loss spatial map layer; and generate a prescription.

Abstract: A method and system based on the image processing technology and robotic technologies are used for planning and evaluating the processes of the hair transplant operations. This method allows a rapid detection of the follicle, the hair number in each follicle and the hair thickness on the images obtained by the scanning of the scalp of the patient before the operation through the image processing technology. Considering these data, “Coverage Value” calculation is automatically carried out; maximum hair number to be harvested in each area is automatically analyzed and calculated. As a result, more reliable and healthy results relative to the present operations are obtained for evaluating the whole operational process through the systematic data, and a system facilitating the method is applied.

Abstract: A computing system (118) includes a computer readable storage medium (122) with computer executable instructions (124), including: a biophysical simulator (126) configured to simulate coronary or carotid flow and pressure effects induced by a cardiac valve device implantation, using cardiac image data and a device model (212). The computing system further includes a processor (120) configured to execute the biophysical simulator to simulate the coronary or carotid flow and the pressure effects induced by the device implantation with the cardiac image data and the device model. The computing system further includes a display configured to display results of the simulation.

Abstract: A personalized health maintenance system, includes reading of an input-output data pair of each medical diagnosis test of a plurality of different medical diagnosis tests conducted for a first user; and cross-correlate a plurality of results of each medical diagnosis test of the plurality of different medical diagnosis tests to find a relationship among the plurality of different medical diagnosis tests for the first user. A coherent health state of the first user is determined based on the cross-correlation of the plurality of different medical diagnosis tests. The personalized health maintenance system includes a robotic system configured to output a first digital therapeutic environment around the first user. The first digital therapeutic environment is a human-sense stimulating mixed reality environment that induces a specific stimulus to the first user for remediation of at least one condition of the determined coherent health state of the first user.

Abstract: Disclosed are implementations that include a method for detecting anomalous data, including converting a set of data values representative of a multi-dimensional item into a nodes-and-edges graph representation of the item, applying a graph convolution process to the graph representation to generate a transformed graph representation for the item comprising a resultant transformed configuration of the nodes and edges representing the item, and determining, based on the transformed configuration, a probability that the item is anomalous. Another example method includes receiving input data at a neural network circuit comprising a plurality of node layers, with each of the plurality of node layers comprising respective one or more nodes, with the neural network circuit further comprising adjustable weighted connections connecting at least some nodes in different layers of the plurality of node layers. The method further includes removing one or more of the weighted connections at one or more time instances.

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: An optimization calculation apparatus may comprise an algorithm module obtaining a plurality of first solutions (S1) from a plurality of input data, obtaining second solutions (S2) from the first solutions (S1), and repeating the process to derive an optimal solution (Sm). The optimization calculation apparatus may further comprise a similarity determination module connected to the algorithm module and computing a similarity of ith solutions in order to obtain (i+1)th solutions (1?i?m?1).

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: 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: 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: 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: 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: 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: 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: 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 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: 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: 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: 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: 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: 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: 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.