Disclosed is a specimen analyzer configured to perform analysis on a specimen for a plurality of measurement items, the specimen analyzer including a measurement section configured to perform a specimen measurement for measuring a measurement sample prepared from a specimen and a reagent corresponding to a measurement item, and configured to perform a quality control measurement for measuring a measurement sample prepared from a quality control substance and a reagent corresponding to a measurement item; and a controller programmed to set a quality control for each measurement item, from a quality control group that includes at least two types of quality controls selected from a first quality control in which the quality control measurement is performed at a predetermined time, a second quality control in which the quality control measurement is performed every time the specimen measurement is performed a predetermined number of times of measurement, and a third quality control in which the quality control measurement is performed every predetermined time interval, the controller being programmed to control the measurement section in accordance with the set quality control.

A sample separation network includes a server node, a plurality of client nodes coupled with the server node, a plurality of sample separation devices coupled with the server node, wherein each of the sample separation devices includes device-specific control software configured for controlling specifically the respectively assigned sample separation device, wherein at least one of the server node and the client nodes includes generic control software configured for generically controlling sample separation devices in a non-device-specific way, and wherein at least one of the server node and the client nodes and the sample separation devices is configured for loading device-specific control software from a sample separation device to at least one of the server node and the client nodes upon connection of said sample separation device to the sample separation network.

The invention relates to a method for automatically blocking and/or unblocking a computer-supported medical device in a system, said system comprising the computer-supported medical device and a mobile terminal, wherein the mobile terminal comprises a first wireless communication device for wirelessly transmitting and receiving data and wherein mobile application software can be executed by means of the mobile terminal, wherein the medical device comprises a device computer and wherein the device computer comprises a second wireless communication device for wirelessly transmitting and receiving data, wherein driver software can be executed on the device computer, which can establish a wireless communication connection to the first communication device of the mobile terminal by means of the second communication device of the medical device, wherein the medical device is automatically shifted from a blocked state into an unblocked state, if the first communication device of the mobile terminal has established a wireless connection with the second communication device of the medical device and the signal strength of the signal of the first communication device of the mobile terminal, received by the second communication device of the medical device, exceeds a predetermined first threshold value and/or the medical device is automatically shifted from an unblocked state into a blocked state, if the first communication device of the mobile terminal has established a wireless connection with the second communication device of the medical device and the signal strength of the signal of the first communication device of the mobile terminal, received by the communication device of the medical device, falls below a predetermined second threshold value and/or if the wireless connection is interrupted for longer than a predetermined first time interval.

Provided herein are methods and systems of molecular profiling of diseases, such as cancer. In some embodiments, the molecular profiling can be used to identify treatments for a disease, such as treatments that were not initially identified as a treatment for the disease or not expected to be a treatment for a particular disease.

An LIS receives, from a laboratory technician, information for evaluation to designate at least one item of a content to be used by an analysis device for deriving an analysis result. The LIS transmits an analysis instruction and a request for the information for evaluation, to the analysis device. The analysis device transmits, to the LIS, a value (for example, a reagent name used for analysis) of an item designated by the information for evaluation together with the analysis result. In the LIS, the laboratory technician evaluates the analysis result with reference to the value of the item designated by the information for evaluation.

The present invention relates to methods, devices and systems for associating consumable data with an assay consumable used in a biological assay. Provided are assay systems and associated consumables, wherein the assay system adjusts one or more steps of an assay protocol based on consumable data specific for that consumable. Various types of consumable data are described, as well as methods of using such information in the conduct of an assay by an assay system.

A laboratory automation device (10) includes a plurality of device components (14, 16), which are controlled by digital control commands (26). The digital control commands (26) are generated by a controller (20) of the laboratory automation device (10) from assay definition data (38) defining an assay procedure for the laboratory automation device (10).

A fluid mixture parameter determination (FMPD) system for analyzing a fluid mixture while moving includes a computing system and at least one material model that includes two or more model parameters for a plurality of material compositions stored in the memory. An ultrasonic sensor and a millimeter wave (MMW) sensor are each coupled to sense the fluid mixture and are coupled to the computing system. The ultrasonic sensor is for providing ultrasonic data to the computing system including a velocity of the fluid mixture or a volumetric flow, and a velocity of sound (VoS) through the fluid mixture. The MMW sensor is for providing MMW velocity data to the computing system. The computing system is for utilizing the material model together with the ultrasonic data and the MMW velocity data for identifying parameters including a plurality of components in the fluid mixture and a concentration for the plurality of components.

A sample installation part in which a sample container accommodating a sample to be subjected to biochemical analysis is installed, and consumables installation parts in which consumables to be used for the biochemical analysis are installed are accommodated in an apparatus body of a biochemical analysis apparatus. The apparatus body is provided with an opening part that leads to a sample tray. An instruction receiving unit receives a movement instruction for moving the sample tray from a normal position where the sample installation part is disposed on the opening part side to a consumables replenishment position where the consumables installation parts are disposed on the opening part side. A driving control unit moves the sample tray from the normal position to the consumables replenishment position in a case where the movement instruction is received by the instruction receiving unit.

An iterative methodology and system (which can also be represented in software), with the option for continual improvement, for the interactive capture, merger, comparison, analysis, cloning and manipulation of anything in the unique universe medium or multiple universes mediums, be it real, virtual or imagined, including thought (of organic or non-organic or other nature), in real time or non-real time, where anything also includes anything infinitely small (or a small base volume of space known as a Senserom), to infinitely large (or a large encapsulating Senseroom volume known as a Senseverse) and can include multiple universes and Senserooms themselves impacting each other, static or dynamic changing over time periods, including the past, present and future. The full set of these infinite Senseroms and Senserooms is considered the Senseverse, which contains anything and/or everything real, virtual and imagined.