3 results about "Digital organism" patented technology

The present disclosure provides a method and system for identifying individual procambarus clarkii of biological characteristics, relating to the technical field of deep learning, comprising: extracting local and global digital biological characteristics of each slice image and a target image, and fusing the local and global digital biological characteristics to obtain a digital biological characteristic matrix; inputting the digital biological characteristic matrix into an improved graph neural network model, generating a query and a key through an independent multi-layer perceptron, calculating edge weights through a scaling dot product of the query-key, and obtaining multiple node features after multi-head attention splicing; splicing different node features, generating an attention score for each node based on a gating mechanism aggregation module, and outputting a global representation vector of each group of point sets after global pooling operation; mapping the global representation vector to a fixed dimension through a linear network, and taking it as a final point set embedding, and finally outputting a procambarus clarkii individual identification result.

The disclosed embodiments relate to system, method and apparatus for forming ML sessions so that an AI system can identify, track and diagnose a user through the user's bathroom sessions. As used herein, a session is a period of time during which a user is active in the toilet. The session may include certain inactivity if such inactivity lasts only for a predefined duration. In an exemplary embodiment, a system is configured to capture images of excreta and, using ML algorithms, classifies the toileting session using Digital Biomarkers (DBMs). The ability to create an excreta log to accurately deliver detailed information to doctors and healthcare providers can revolutionize healthcare by notifying when further urine or fecal screening is necessary. The disclosed embodiments of ML and image identification through AI requires no user behavior change and provides a link between medical records and specific excreta patterns.

To provide non-invasive and inexpensive digital biomarkers. [Solution] The server of the disease state estimation system stores a database containing data about the user, and as a function, it repeatedly executes the following steps at predetermined intervals for a predetermined number of times: acquiring user identification data (S101), presenting predetermined questions to the user to visualize the state of a predetermined disease (S102), receiving input of answers to the questions from the user (S103), and storing answer data indicating the content of the received answers in the database linked to the user identification data (S104). After a predetermined number of times, it executes the following steps: acquiring answer data stored in the database for a predetermined number of times or more, estimating a predetermined disease state based on the answer data for a predetermined number of times or more, and outputting the estimated result of the predetermined disease state.