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: 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.

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: 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: A medical learning apparatus acquires a data set consisting of a plurality of events, the data set including first data that includes first action data relating to an expert. The medical learning apparatus trains, based on the first data, a causal structure model for inferring a causal relationship relating to the plurality of events.

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: A metal-doped molybdenum sulfide powder according to the present invention contains a doping metal in Groups 3 to 13 and molybdenum disulfide having a 3R crystal structure. A first aspect of a method for producing a metal-doped molybdenum sulfide powder includes dry-mixing a powder containing a molybdenum trioxide powder made of an aggregate of primary particles containing molybdenum trioxide, a sulfur source, and a salt of a metal in Groups 3 to 13, and heating the powder at a temperature of 200° C. to 1,000° C. A second aspect includes removing, from a mixture obtained by blending a molybdenum trioxide powder made of an aggregate of primary particles containing molybdenum trioxide, a salt of a metal in Groups 3 to 13, and a dispersion medium, the dispersion medium to obtain a solid, and heating the solid at a temperature of 200° C. to 1,000° C. in the presence of a sulfur source.

Abstract: Provided is a molybdenum trioxide powder containing an aggregate of primary particles containing a crystal structure of molybdenum trioxide, the crystal structure containing ? crystals with an average crystallite size of 50 nm or less, a median diameter D50 of the primary particles being 2,000 nm or less determined by dynamic light scattering.

Abstract: A medical information processing apparatus of an embodiment includes processing circuitry. The processing circuitry acquires symptom reply information regarding a predetermined symptom of a patient. The processing circuitry acquires condition data of the patient related to the symptom. The processing circuitry identifies a condition sensitivity component of the symptom reply information on the basis of change in the symptom reply information with respect to change in the condition data.

Abstract: A clinical decision support device of an embodiment includes processing circuitry. The processing circuitry acquires at least one of attribute information of a patient and first parameters regarding a first preference category for the patient. The processing circuitry estimates second parameters of the patient with respect to a second preference category on the basis of at least one of the attribute information and the first preference category. The processing circuitry determines preferable selections of the patient with respect to a predetermined preference category on the basis of the second parameters. The processing circuitry displays the preferable selections and the second parameters in association with each other.

Abstract: According to one embodiment, a medical information display apparatus includes processing circuitry. The processing circuitry displays first medical information over a first period along a first time axis and second medical information over a second period along a second time axis, acquires time information at a time point or in a range designated in the first period about the first medical information displayed, decides a position on the second time axis which corresponds to the time information, and displays an indicator indicating the position in an area displaying the second medical information.