A system and method for developing applications (Apps) for automated assessment and analysis of processed biological samples. Such samples are obtained, combined with nutrient media and incubated. The incubated samples are imaged and the image information is classified according to predetermined criteria. The classified image information is then evaluated according to Apps derived from classified historical image information in a data base. The classified historical image information is compared with the classified image information to provide guidance on further processing of the biological sample through Apps tailored to process provide sample process guidance tailored to the classifications assigned to the image information.

The present invention provides devices, systems, and methods, for performing biological and chemical assays.

The present disclosure deals with the quickening of MRI examinations. Subjects of the present disclosure are a method, a system, a computer program product, a use, a contrast agent for use and a kit.

A medical data processing device according to an embodiment includes processing circuitry. The processing circuitry acquires estimated data related to a state of a biological organ at a first timing, and actually measured data indicating the state of the biological organ at the first timing. The processing circuitry calculates a parameter based on the estimated data and the actually measured data. The processing circuitry estimates a state of the biological organ in a predetermined time phase at a second timing different from the first timing based on the parameter and the estimated data in the predetermined time phase.

Systems and methods of predicting future medical events are based on the processing of medical image. The prediction of premature birth and estimation of gestational age based on ultrasound images are presented as illustrative examples. The new abilities to estimate the probability of future medical events, before they otherwise could be predicted, provides new avenues for the development of preventative treatments.

An embodiment provides a method including obtaining, using a camera system, imagery of one or more individuals in an environment; analyzing, using a processor, the individual data using a trained model to identify individuals and recognize gestures that are indicative of sickness behavior; presenting, using a display device, information about individuals that have displayed sickness behavior above a calculated threshold.

Methods and systems for providing various skin-related metrics and tracking the effects of skincare and cosmetic products are described. The system may acquire user images via optical scanning methods and analyze the images before and after application of a product to provide quantitative feedback to the user of beneficial or adverse effects of the product. The system may track response of the skin based on changes in inflammation, dryness, elasticity, pH levels, and/or microbiomes and correlate these changes with user information including ethnicity, location, and lifestyle to generate models that are capable of predicting a user's response to certain ingredients and/or predicting long-tern effects of certain ingredients on the skin.

The present invention relates to the field of medical imaging in the absence of contrast agents. In one form, the invention relates to the field of imaging vessels, particularly blood vessels such as the pulmonary vasculature and is suitable for use as a technique for detecting pulmonary embolism (PE), such as acute PE. Embodiments of the present invention provide improved image processing techniques having the capability to extract and use image data to overcome the need for contrast agents to distinguish between different types of tissue. Furthermore, it has also been realised that the image data accessed by the improved image processing can be used to identify irregularities in vessels.

A method of managing crop stress related to a crop growing within an agricultural field uses a cropping systems model executed on the computing device to simulate growth of the crop. At least one stress index representative of a crop stress affecting growth of the crop is calculated based upon acquired field centric data and one or more of stress thresholds associated with a determined growth stage of the crop to determine if a notification should be generated. This provides a tool to detect and quantify crops abiotic and biotic stresses at zone and field levels in actual time during the growing season using crop specific parameters, field data and remotely-sensed data, aiming to provide growers with useful information to mitigate crops stresses and increase yield.

A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain medical images taken at a plurality of points in time. The processing circuitry is configured to obtain structures of a plurality of tissues, from medical images taken at a first point in time and at a second point in time different from the first point in time among the plurality of points in time. The processing circuitry is configured to calculate a measurement value related to a contact part between the plurality of tissues at the first point in time, on the basis of the obtained structures of the plurality of tissues at the second point in time and the obtained structures of the plurality of tissues at the first point in time.