Abstract: A medical image diagnostic apparatus, an inference method, an inference apparatus, and a storage medium according to an embodiment include acquiring attribute information for a target patient to be subjected to inference, and estimating a causal relationship between the attribute information for the target patient and a treatment effect for the target patient using a causal inference model including a decision tree model optimized based on knowledge information defining rules for determining a treatment to be applied to other patient and clinical information indicating relationship between attribute information for the other patient and other treatment effect observed after the treatment.

Abstract: Provided are alumina particles containing molybdenum and with their shape controlled. The alumina particles contain phosphorus and molybdenum. The alumina particles are preferably plate-like or card house-like. The phosphorus is preferably unevenly distributed in surface layers of the alumina particles. Also provided are a resin composition containing the alumina particles and a resin, a molded body made by molding the resin composition, and a method for producing the alumina particle including a step of firing the aluminum compound in the presence of a molybdenum compound and a phosphorous compound.

Abstract: A molybdenum trioxide powder contains an aggregate of primary particles having a ? crystal structure of molybdenum trioxide. The molybdenum trioxide powder has a MoO3 content ratio of 99.6% or more measured by X-ray fluorescence (XRF), and has an average particle diameter of the primary particles of 1 ?m or less. A method for producing the above molybdenum trioxide powder includes vaporizing a molybdenum oxide precursor compound to form molybdenum trioxide vapor, and cooling the molybdenum trioxide vapor.

Abstract: A storage device stores a medical knowledge graph including nodes corresponding to medical care events, and edges indicative of a relationship between the nodes. A graph feature of the medical knowledge graph is expressed by a mathematical model characterized by patient background information. A processing circuitry obtains patient background information relating to a background factor of one or more target patients, computes variation of the graph feature relating to the target patient, based on the patient background information of the target patient and the mathematical model, and displays the variation of the graph feature on a display device.

Abstract: Molybdenum disulfide particles include a 2H crystal structure and a 3R crystal structure of molybdenum disulfide, in which a presence ratio of the 3R crystal structure in a crystal phase of molybdenum disulfide is 10% or more, and a crystallite size of the 3R crystal structure calculated by extended-type Rietveld analysis based on an analysis formula L=K?/(? cos ?) using a profile obtained from powder X-ray diffraction (XRD) using Cu-K? rays as an X-ray source is 1 nm or more and 150 nm or less (in the above formula, K is an instrumental constant that depends on an XRD optical system (an incident side and a detector side) and settings, L is a crystallite size [m], ? is a measured X-ray wavelength [m], ? is a half width [rad], and ? is a Bragg angle of a diffraction line [rad]).

Abstract: According to one embodiment, a medical image diagnosis apparatus includes an acquisition unit and an image capturing condition determination unit. The acquisition unit acquires subject information regarding a subject that includes a first medical image obtained by capturing an image of a diagnosis target region of the subject under a first image capturing condition. The image capturing condition determination unit determines a second image capturing condition to capture a second medical image of the subject, based on the subject information, and a learned model obtained by executing learning while associating evaluation information regarding a medical image and an image capturing condition.

Abstract: An information processing device of an embodiment includes a processing circuit. The processing circuit acquires a reply from a user. The processing circuit estimate medical treatment information including a plurality of preferences of the user regarding medical treatment on the basis of the reply. The processing circuit determine a response to the reply on the basis of the medical treatment information. The processing circuit outputs the response via an output interface. Furthermore, the processing circuit determines, as the response, at least one of a narrowed response and an approval request to the user.

Abstract: A medical treatment support apparatus according to one embodiment includes processing circuitry. About a treatment plan for a disease of a patient, the processing circuitry predicts a decision of subjects who are the patient or people who are involved with the patient and a decision of a doctor who determines the treatment plan for the subject. The processing circuitry presents information based on a result of the prediction to the doctor and at least one of the subjects.

Abstract: Provided is a particle-containing grease composition that can efficiently improve friction and wear resistance properties with a small added amount and exhibits excellent friction and wear resistance properties even when a clearance and the surface roughness of the friction surface in sliding parts are extremely small. The particle-containing grease composition includes base oil, a thickener, and molybdenum disulfide particles, in which a median diameter D50 of the molybdenum disulfide particles determined by a dynamic light scattering method is 10 nm or more and less than 450 nm.

Abstract: A medical information processing device using an artificial intelligence model of an embodiment includes processing circuitry. The processing circuitry acquires first data indicating a state of a patient before intervention of a medical procedure related to a predetermined disease, and second data indicating a state of the patient after intervention of the medical procedure. The processing circuitry calculates a reward on the basis of at least a variation in the first data and a variation in the second data. The processing circuitry causes the artificial intelligence model to learn policies for the medical procedure on the basis of the reward. The processing circuitry updates the artificial intelligence model through a learning of the policies.

Abstract: A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry identifies a medical concept relating to a patient. The processing circuitry determines an evaluation parameter relating to the medical concept. The processing circuitry acquires chief complaint data of the patient and medical knowledge relating to the medical concept. The processing circuitry maps the first range based on the chief complaint data and the second range based on the medical knowledge on a space based on the evaluation parameter.

Abstract: A molybdenum sulfide powder according to the invention contains molybdenum disulfide having a 3R crystal structure. A heavy-metal adsorbent according to the invention contains molybdenum sulfide particles, and the molybdenum sulfide particles have a median diameter D50 of 10 nm to 1,000 nm obtained by a dynamic light scattering type particle diameter distribution measuring device. A photothermal conversion material according to the invention contains a material containing molybdenum sulfide particles and generates heat by absorbing light energy.

Abstract: A medical learning system according to an embodiment includes processing circuitry. The processing circuitry acquires a first inference model that infers a treatment action of a target medical care provider based on a state of a patient. The processing circuitry acquires treatment progress data relating to a target patient. The processing circuitry generates a second inference model in conformity with the target patient by updating the first inference model based on the treatment progress data.

Abstract: According to an embodiment, a medical image diagnosis device includes processing circuitry. The processing circuitry acquires at least a reflected wave signal obtained by reflecting an ultrasound signal detected by an ultrasound probe and transmitted to a subject within a body of the subject and an image signal including an external appearance of the subject captured by an imaging device, controls a process of displaying an ultrasound image based on the reflected wave signal and a visual field image based on the image signal on a display device attached to a head of an examiner, and determines whether or not a state is an imaging state in which the ultrasound probe detects the reflected wave signal and the inside of the body of the subject is imaged.

Abstract: A hydrogen generation catalyst according to a first aspect of the present invention contains a molybdenum sulfide powder containing molybdenum disulfide having a 3R crystal structure. A hydrogen generation catalyst according to a second aspect of the present invention contains a metal-doped molybdenum sulfide powder containing a doping metal in Groups 3 to 13 and molybdenum disulfide having a 3R crystal structure.

Abstract: Provided is a particle-containing resin composition having an appropriate particle size and being capable of improving friction and wear resistance properties even under a high temperature and high load environment. The particle-containing resin composition according to the present invention includes a resin composition and molybdenum disulfide particles, in which a median diameter D50 of the molybdenum disulfide particles determined by a dynamic light scattering method is 10 nm or more and 1,000 nm or less.

Abstract: A medical information processing apparatus acquires multiple training samples. Each of the training samples includes a feature amount representing a condition of a subject, a type label of an event performed on the subject, and an effect label of the event. The apparatus acquires a knowledge base independent from the training samples. The processing circuitry assigns a knowledge label to at least one training sample among the training samples based on the knowledge base. The apparatus trains, based at least on the at least one training sample to which the knowledge label is assigned, a model that infers an effect of each type of an event. The at least one training sample to which the knowledge label is assigned includes the feature amount, the type label, the effect label, and the knowledge label.

Abstract: Molybdenum disulfide particles include a 2H crystal structure and a 3R crystal structure of molybdenum disulfide, in which a presence ratio of the 3R crystal structure in a crystal phase of molybdenum disulfide is 10% or more, and a crystallite size of the 3R crystal structure calculated by extended-type Rietveld analysis based on an analysis formula L=K?/(? cos ?) using a profile obtained from powder X-ray diffraction (XRD) using Cu-K? rays as an X-ray source is 1 nm or more and 150 nm or less (in the above formula, K is an instrumental constant that depends on an XRD optical system (an incident side and a detector side) and settings, L is a crystallite size [m], ? is a measured X-ray wavelength [m], ? is a half width [rad], and ? is a Bragg angle of a diffraction line [rad]).

Abstract: Provided is a particle-containing grease composition that can efficiently improve friction and wear resistance properties with a small added amount and exhibits excellent friction and wear resistance properties even when a clearance and the surface roughness of the friction surface in sliding parts are extremely small. The particle-containing grease composition includes base oil, a thickener, and molybdenum disulfide particles, in which a median diameter D50 of the molybdenum disulfide particles determined by a dynamic light scattering method is 10 nm or more and less than 450 nm.

Abstract: A diagnosis support system includes an acquirer, a calculator, and a display controller. The acquirer acquires diagnosis data. The calculator calculates, based on the medical data, a feature amount in the medical data for a predetermined period. The display controller causes the displayer to display the medical data in a format according to the feature amount.