Diagnosis is assisted by acquiring microscopical observation image data while specifying the position, classifying the image data into histological types with the use of AI, and reconstructing the classification result in a whole lesion. There is provided a pathological diagnosis assisting method that can provide an assistance technology which performs a pathological diagnosis efficiently with satisfactory accuracy by HE staining which is usually used by pathologists. Furthermore, there are provided a pathological diagnosis assisting system, a pathological diagnosis assisting program, and a pre-trained model.

Diagnosis is assisted by acquiring microscopical observation image data while specifying the position, classifying the image data into histological types with the use of AI, and reconstructing the classification result in a whole lesion. There is provided a pathological diagnosis assisting method that can provide an assistance technology which performs a pathological diagnosis efficiently with satisfactory accuracy by HE staining which is usually used by pathologists. Furthermore, there are provided a pathological diagnosis assisting system, a pathological diagnosis assisting program, and a pre-trained model.

The present disclosure provides methods, systems, and non-transitory computer-readable media for assessment of disease treatment or progression on a lesion-by-lesion level. The systems and methods are based on measurements of a variety of features including total number of lesions, total number and proportion of lesions regressing or progressing, changes in dimensions of a lesion over time, and uptake values of a molecular imaging agent.

A temperature controlled sample specimen laboratory storage system, for storing sample specimens disposed in one or more of labware units and labware devices, includes a refrigerated chamber with a storage array therein having predetermined storage locations defining a predetermined capacity of one or more of labware unit storage and labware device storage of the storage array, where the storage array has a predetermined area, and at least one simulacrum labware substitute having a predetermined characteristic that simulates a corresponding one of the one or more of the labware units and labware devices. The at least one simulacrum labware substitute is disposed within the storage array so that the predetermined capacity of the one or more of the labware unit storage and the labware device storage of the storage array, of predetermined area, is unconstrained by the at least one simulacrum labware substitute held in the storage location.

A temperature controlled sample specimen laboratory storage system, for storing sample specimens disposed in one or more of labware units and labware devices, includes a refrigerated chamber with a storage array therein having predetermined storage locations defining a predetermined capacity of one or more of labware unit storage and labware device storage of the storage array, where the storage array has a predetermined area, and at least one simulacrum labware substitute having a predetermined characteristic that simulates a corresponding one of the one or more of the labware units and labware devices. The at least one simulacrum labware substitute is disposed within the storage array so that the predetermined capacity of the one or more of the labware unit storage and the labware device storage of the storage array, of predetermined area, is unconstrained by the at least one simulacrum labware substitute held in the storage location.

Generally, methods, devices, and systems related to analyte monitoring and data logging are provided—e.g., as related to in vivo analyte monitoring devices and systems. In some aspects, methods, devices, and systems are provided that relate to enable related settings based on an expected use of an in vivo positioned sensor; logging or otherwise recording analyte levels acquired or derived—e.g., sample analyte levels more frequently than they are logged or otherwise recorded in memory; dynamically adjust the data logging frequency; randomly determine times of acquiring or storing analyte levels from the in-vivo positioned analyte sensors; and enable recording related settings when the system is operable.

Generally, methods, devices, and systems related to analyte monitoring and data logging are provided—e.g., as related to in vivo analyte monitoring devices and systems. In some aspects, methods, devices, and systems are provided that relate to enable related settings based on an expected use of an in vivo positioned sensor; logging or otherwise recording analyte levels acquired or derived—e.g., sample analyte levels more frequently than they are logged or otherwise recorded in memory; dynamically adjust the data logging frequency; randomly determine times of acquiring or storing analyte levels from the in-vivo positioned analyte sensors; and enable recording related settings when the system is operable.

A method for image analysis of medical test results, comprising receiving, at a server, information from a mobile device regarding test results from a test performed using a testing device, wherein the testing device includes an alignment target disposed on the testing device and a plurality of immunoassay test strips, receiving at the server an image of the testing device from the mobile device, determining by the server RGB values for a plurality of pixels of the image, normalizing by the server the RGB values into a single value, comparing by the server the single value to a control value stored on the server, and providing by the server a risk indicator, wherein the risk indicator indicates a likelihood of a presence of a medical condition.

A method for image analysis of medical test results, comprising receiving, at a server, information from a mobile device regarding test results from a test performed using a testing device, wherein the testing device includes an alignment target disposed on the testing device and a plurality of immunoassay test strips, receiving at the server an image of the testing device from the mobile device, determining by the server RGB values for a plurality of pixels of the image, normalizing by the server the RGB values into a single value, comparing by the server the single value to a control value stored on the server, and providing by the server a risk indicator, wherein the risk indicator indicates a likelihood of a presence of a medical condition.

Methods, apparatuses, and systems are disclosed for analyzing quality control (QC) strategies that are applied to testing processes an analyte in order to meet an acceptable level of probability of patient harm that could result from incorrect test results. The measure of patient harm takes into account severity of patient harm, as well as its occurrence. Methods include calculating, based on the parameters of the QC strategies and the test apparatus, an expected number of incorrect final results E(N.sub.uf) due to a test system failure. The value of E(N.sub.uf) can be used as part of a calculation of a predicted level of probability patient harm. The ratio of the acceptable level of probability of patient harm to the predicted level of probability patient harm can determine the adequacy of the QC strategies.