MSP Europe UAB

The present invention provides an immunological detection method for an analyte in a whole blood sample, a magnetic microsphere, and a magnetic microsphere-protein complex. The immunological detection method includes: a) mixing and incubating the whole blood sample with an immunological detection reagent to obtain an incubation complex, wherein the immunological detection reagent includes a signal molecule and/or a magnetic microsphere-protein complex; the magnetic microsphere-protein complex includes a magnetic microsphere and a first affinity protein coated on the magnetic microsphere, the first affinity protein is a protein that can specifically bind to the analyte, and the surface of the magnetic microsphere includes methacrylate; and b) performing signal detection on the incubation complex, and obtaining the amount of the analyte based on signal intensity. The method can address the problem of low accuracy of whole blood sample detection in prior art and is suitable for the field of whole blood sample detection.

The present disclosure provides an encrypted transmission system and method for medical data, which relates to the technical field of medical data. A server, in response to a medical data analysis request, performs encrypted transmission of model parameters with each client by the following steps: the server receives a model parameter acquisition request sent by the client; the server performs identity authentication of the client based on request authentication information corresponding to the client; when the identity authentication of the client is passed, the server generates a key string based on historical optimized model parameters corresponding to the client and performs encryption on a current round of to-be sent optimized model parameters to generate a ciphertext data packet and send to the client; the client determines a decryption key based on the identifier and decrypts the received ciphertext data packet to obtain the optimized model parameters; and the client updates a local analysis model based on the obtained optimized model parameters, enabling the server to determine a next round of optimized model parameters for the client.

Disclosed are systems and methods associated with an improved optical switch. An optical switch may include light sources configured to produce a set of control beams co-aligned with a communication beam and that interact with each of a set of MEMS mirrors. Each of the set of control beams are passed through a respective screen so as to generate an image corresponding to a layout of an associated MEMS mirror that can then be analyzed to affect an operation of the optical switch, such as by managing an orientation and/or position of each MEMS mirror. In some aspects, the one or more hardware processors may utilize AI techniques to reduce processing time and learn behavior of the optical switch. In some aspects, the system may utilize the information to generate alerts and/or information relating to the end of life or other operational parameters of the optical switch.

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