Abstract: Methods and systems for machine learning are disclosed for automated high content screening of drug compounds. Functions in one method include, receiving an assay layout; receiving images of a plurality of wells in one or more plates; training binary AI models based on the positive phenotype controls versus negative control to generate probabilities of an input image being the positive control to which the binary AI models were trained; training an all-control AI model based on all of the positive phenotype controls and the negative control to generate a set of probabilities of an input image being one of the positive phenotype controls or the negative control; and generating one or more visual representations of the set of probabilities to evaluate performance of the trained all-control AI model and the binary AI models.

Abstract: Methods, apparatus, and systems for high-resolution image storage and analysis are disclosed. In one disclosed embodiment, a method includes analyzing a high-resolution image; partitioning the high-resolution image into logical blocks; detecting objects in the high-resolution image within the logical blocks, assigning objects that differ or with differing measures to differing layers, and assigning objects that are similar or with similar measures to the same layer; tabulating the detected objects into a table, wherein each row indicates a spatial position of each detected object and at least one measure of each detected object; storing the spatial position and the at least one measure of each detected object into the table; spatially rendering selected objects over the high-resolution image; and displaying the selected objects at a selected resolution within a portion of the high-resolution image on a display device.

Abstract: Methods and systems for machine learning are disclosed for early detection of morphological changes in cell condition of biological cells. In one disclosed embodiment, the development of vaccines and anti-virals are sped up using machine learning to identify viral plaques earlier than can be detected using human observation alone. In the disclosed embodiment, detecting morphological changes in virus-infected cells can be made before plaques caused by cell death are observable (typical cell death in 2-14 days). Machine learning brings high-content/high-throughput techniques to the study of virology for the development of novel anti-viral compounds. Machine learning can also be used to characterize the effectiveness of novel anti-viral compounds on rapidly mutating viral strains, such as influenza and SARS-CoV-2.

Abstract: Systems and methods of a medical analytics system are described herein. The medical analytics system can include a machine learning model for processing patient tissue images for either training the machine learning model or for clinical use, such as providing information for assisting a clinician with at least diagnosing a disease or condition of a patient. Implementations of the medical analytics system can further include a user interface that is configured to allow a user to interact with a patient image for assisting with diagnosing at least a part of the tissue captured in the patient image.

Abstract: Systems and methods of a medical analytics system are described herein. The medical analytics system can include a machine learning model for processing patient tissue images for either training the machine learning model or for clinical use, such as providing information for assisting a clinician with at least diagnosing a disease or condition of a patient. Implementations of the medical analytics system can further include a user interface that is configured to allow a user to interact with a patient image for assisting with diagnosing at least a part of the tissue captured in the patient image.

Abstract: Systems and methods of a medical analytics system are described herein. The medical analytics system can include a machine learning model for processing patient tissue images for either training the machine learning model or for clinical use, such as providing information for assisting a clinician with at least diagnosing a disease or condition of a patient. Implementations of the medical analytics system can further include a user interface that is configured to allow a user to interact with a patient image for assisting with diagnosing at least a part of the tissue captured in the patient image.

Abstract: Disclosed is a device for guniting the lining of casting ladles, comprising a platform which is mounted by means of adjustable supports on the ladle to be repaired. On the under side of the platform a guide is mounted so as to extend downward from the platform into the casting ladle. A carriage with a nozzle for supplying gunite onto the surface being repaired is mounted for reciprocating motion along the guide. The guide is fitted on sleds which, in turn, are set on a swivel table so as to permit radial displacement of the sleds relative to the axis of rotation of the swivel table, the swivel table being rotatably mounted on the platform. On the under side of the platform there is also arranged a detachable templet whose curvature is similar to the curvature of the horizontal cross-section of the ladle. A roller pair is mounted on the templet to run around it.