Abstract: A system comprising a device or the device itself for measuring temperatures, comprising a sensor array plate, comprising on a first surface at least one temperature sensor arranged on at least one tongue that is surrounded by a cut-out leaving a bridge to the sensor array plate, wherein the at least one sensor has on both sides' spacer and a second surface opposite the first surface for connection to at least one operating plate of a thermocycler; and a pressure plate, comprising fins at the side for connection to the sensor array plate that align with the spacer of the sensor array plate when a pressure plate is arranged onto a sensor array plate.

Abstract: Devices and methods, in particular computer-implemented methods, for the communication of participants in a traffic infrastructure. A state channel, associated with a distributed ledger technology system, to a second participant is set up at a first participant, and a channel, associated with the state channel, to a third participant is set up at the first participant. A first instruction is sent to the third participant via the channel, such that if a second instruction of the third participant is received via the channel, and if the second instruction fulfills a condition that is a function of the first instruction, the first participant and/or the third participant are controlled as a function of the first instruction or as a function of the second instruction.

Abstract: A computer-implemented method for managing a provision of a resource. The method includes the following steps: receiving a request regarding a utilization of the resource, validating the request, and, based on the validation of the request, establishing a state channel.

Abstract: Systems and methods are described herein for processing electronic medical images to predict one or more donor recipients for a patient. For example, a digital medical image of the patient may be received, wherein the patient is in need of a transplant. A trained machine learning system may be determined. The digital medical image may be provided into the trained machine learning system, the trained machine learning system determining a patient embedding. Using the patient embedding, a subset of donor recipients may be determined. Based on the subset of donor recipients a recommendation of optimal donors may be determined.

Abstract: Systems and methods are described herein for processing electronic medical images to predict one or more histological morphologies. For example, one or more digital medical images may be received, the one or more digital medical images being of at least one pathology specimen associated with a patient. Patient clinical data for the patient may be received. A trained machine learning system may be determined. The patient clinic data and one or more digital medical images may be provided to the trained machine learning system. A histological morphology prediction of the patient may be determined, using the trained machine learning system. The histological morphology prediction may be output to a user and/or storage.

Abstract: Systems and methods are described herein for processing electronic medical images. The method may include determining, using an automated routine, whether a pathology protocol is accessible; determining a first set of one or more training images, the first set of one or more training images comprising digital medical images annotated utilizing the pathology protocol; and providing the training images to a machine learning model capable of analyzing digital medical images according to the pathology protocol or guideline. The providing may further include determining a starting model, splitting the first set of one or more training images into a training set A and an evaluation set B of digital medical images, fine tuning the starting model with the training set A to determine the machine learning model, evaluating the machine learning model with the training set B, and upon receiving a passing evaluation, saving the determined machine learning model.

Abstract: Systems and methods are described herein for processing electronic medical images. For example, one or more digital medical images of at least one pathology specimen, the pathology specimen being associated with a patient may be received. Additionally, an external designation of the one or more digital medical images may be received. The one or more digital medical images may be provided to one or more machine learning systems, the one or more machine learning systems each having been trained to analyze medical images using one of a plurality of versions of a protocol. The one or more machine learning systems, may determine machine learning system designations for the one or more digital medical images. The external designation may be compared to the machine learning system designations and, based on the comparison, determining whether the external designation matches a predetermined protocol.

Abstract: A computer-implemented method for processing electronic medical images, the method including receiving one or more digital medical images of at least one pathology specimen, the pathology specimen being associated with a patient and receiving one or more search criteria. One or more machine learning systems may be determined based on the one or more search criteria. The one or more machine learning systems may be output to a user, wherein outputting the one or more machine learning system includes applying the one or more machine learning systems to the one or more received medical images, and displaying the one or more digital medical images after the machine learning system performed analysis on the digital medical images. A selection from a user may be received, the selection corresponding to a first machine learning system from the one or more machine learning systems. The first machine learning system may be output.

Abstract: A computer-implemented method for processing digital pathology images, the method including receiving a plurality of digital pathology images of at least one pathology specimen, the pathology specimen being associated with a patient. The method may further include determining receiving metadata corresponding to the plurality of digital pathology images, the metadata comprising data regarding previous medical treatment of the patient. Next, the method may include providing the medical images and metadata as input to a machine learning system, the machine learning system having been trained by receiving as input historical treatment information and digital images labeled with a predicted treatment regimen. Lastly, the method may include outputting, by the machine learning system, a treatment effectiveness assessment.

Abstract: A computer-implemented method for processing medical images, the method may include receiving a plurality of medical images of at least one pathology specimen, the pathology specimen being associated with a patient. The method may further include receiving a gross description, the gross description comprising data about the medical images. The method may next include extracting data from the description. Next, the method may include determining, using a machine learning system, at least one associated location on the medical images for one or more pieces of data extracted. The method may then include outputting a visual indication of the gross description data displayed in relation to the medical images.

Abstract: A computer-implemented method for processing electronic medical images, the method including receiving images of at least one pathology specimen, the pathology specimen being associated with a patient. The system may determine, using a machine learning system and based on the electronic medical images, at least one contributing cause of death. The system may provide at least contributing cause of death.

Abstract: A computer-implemented method of reviewing digital pathology data may include receiving a digital pathology image into a digital storage device, the digital pathology image being associated with a patient, providing for display the digital pathology image on a display, pairing the digital pathology image with a physical token of the digital pathology image in an interactive system, receiving one or more commands from the interactive system, determining one or more manipulations or modifications to the displayed digital pathology image based on the one or more commands, and providing for display a modified digital pathology image on the display according to the determined one or more manipulations or modifications.

Abstract: Systems and methods are disclosed for providing automated routing of medical data, comprising determining at least one rule corresponding to at least one condition and at least one receiver, receiving medical data and associated medical metadata, determining whether the medical data, the associated medical metadata, and/or associated artificial intelligence processing satisfies the at least one condition of the at least one rule, and upon determining that the at least one condition of the at least one rule is satisfied, providing, from an originating institution, the medical data to the at least one receiver.

Abstract: A method, in particular, a computer-implemented method, for managing data associated with a product pool including at least two technical products, in particular, machines or vehicles, using a multiparty computation (MPC) process. The method includes the following steps: receiving first input data at at least one first MPC node, the first input data including operating data of the at least one first product, and receiving second input data at an at least one second MPC node, the second input data including operating data of the at least one second product, receiving further input data at one further MPC node, the further input data including the data associated with the product pool, calculating a distribution function based on the first input data, on the second input data and on the further input data, and outputting the distribution function.

Abstract: The invention relates to a hand-held observation device. The observation device is characterized in that a first observation channel comprises a first opto-mechanical stabilization unit for actively and equally stabilizing, during an observation, a first observation optical axis and an LRF axis of an integrated laser range finder by compensating for hand jitter during the observation, the first opto-mechanical stabilization unit being adapted for continuously adjusting and setting a lateral position (with respect to the optical axis) of at least one lens of the objective optical system of the first optical observation channel, in a way automatically controlled by an electronic processing and control unit, which reads and processes the gyro sensor data, particularly in a way wherein the adjusting of the lateral position of the at least one lens equally stabilizes the first observation optical axis and the LRF axis in one go.

Abstract: Devices and methods, in particular computer-implemented methods, for the communication of participants in a traffic infrastructure. A state channel, associated with a distributed ledger technology system, to a second participant is set up at a first participant, and a channel, associated with the state channel, to a third participant is set up at the first participant. A first instruction is sent to the third participant via the channel, such that if a second instruction of the third participant is received via the channel, and if the second instruction fulfills a condition that is a function of the first instruction, the first participant and/or the third participant are controlled as a function of the first instruction or as a function of the second instruction.

Abstract: A method for providing a state channel between a first entity and a second entity in a network for exchanging messages relating to transactions of a distributed ledger technology, which each possess a decentralized identifier and instructions for handling the decentralized identifier in the network, for establishing the state channel according to a peer-to-peer protocol for decentralized identifiers for the first and the second entity. A new decentralized identifier as a user identifier and a public key for the particular user identifier are exchanged in each case between the first and second entity, and the exchange of messages containing pieces of information characterizing states between the first and the second entity being secured with the aid of the user identifiers and the public keys.

Abstract: Systems and methods are disclosed for providing automated routing of medical data, comprising determining at least one rule corresponding to at least one condition and at least one receiver, receiving medical data and associated medical metadata, determining whether the medical data, the associated medical metadata, and/or associated artificial intelligence processing satisfies the at least one condition of the at least one rule, and upon determining that the at least one condition of the at least one rule is satisfied, providing, from an originating institution, the medical data to the at least one receiver.

Abstract: Systems and methods are disclosed for providing automated routing of medical data, comprising determining at least one rule corresponding to at least one condition and at least one receiver, receiving medical data and associated medical metadata, determining whether the medical data, the associated medical metadata, and/or associated artificial intelligence processing satisfies the at least one condition of the at least one rule, and upon determining that the at least one condition of the at least one rule is satisfied, providing, from an originating institution, the medical data to the at least one receiver.

Abstract: A method, in particular, a computer-implemented method, for operating a device. The device is designed to carry out transactions via at least one state channel associated with a distributed ledger technology (DLT) system.