Abstract: Disclosed herein are techniques for facilitating a clinical decision for a patient based on identifying a group of patients having similar attributes as the patient. The group of patients can be identified using information from a predictive machine learning model that performs a clinical prediction for the patient. At least some of the attributes of the group of patients can be output to support a clinical decision. The attributes may include, for example, biography data of the patient, results of one or more laboratory tests of the patient, biopsy image data of the patient, molecular biomarkers of the patient, a tumor site of the patient, and a tumor stage of the patient.

Abstract: Methods for the rapid detection of the presence or absence of SARS-CoV-2, influenza A and influenza B in a biological or non-biological sample are described. The methods can include performing an amplifying step, a hybridizing step, and a detecting step. Furthermore, primers and probes targeting SARS-CoV-2, influenza A, and influenza B and kits are provided that are designed for the detection of SARS-CoV-2, influenza A and influenza B.

Abstract: A machine learning and/or deep learning framework forecasts epidemic or pandemic cases and deaths. Multiple open data sources relevant for the pandemic or epidemic evolution in a geographic area, such as the United States or another country or region, can be processed to extract a plurality of features, such as localized (i.e., county level, city level, regional level, province level, etc.) cases and deaths, demographics and socioeconomic factors, non-medical interventions, and mobility (i.e., from cell phone and/or GPS data). The learning can be used to predict future cases and deaths at localized levels and to recommend healthcare resources that may be needed.

Abstract: The present invention provides detection systems and methods for detection of loci and genomic regions in a sample, including mixed samples, using hybridization to an array.

Abstract: In one example, a method being performed by a computer system comprises: receiving an image file containing a pathology report; performing an image recognition operation on the image file to extract input text strings; detecting, using a natural language processing (NLP) model, entities from the input text strings, each entity including a label and a value; extracting, using the NLP model, the values of the entities from the input text strings; converting, based on a mapping table that maps entities and values to pre-determined terminologies, the values of at least some of the entities to the corresponding pre-determined terminologies; and generating a post-processed pathology report including the entities detected from the input text strings and the corresponding pre-determined terminologies.

Abstract: A computer-implemented method is provided. The method comprises: receiving, from a text field of a user interface, input text strings containing medical data; identifying, based on language semantics and grammatical structure, a keyword and one or more data values from the input text strings; providing the keyword as an input to a query of a medical data category database to obtain one or more categories associated with the keyword, the one or more categories including a first category; retrieving, from a template database, a first template associated with the first category, the first template including one or more fixed blocks and one or more variable blocks; inserting a data value corresponding to the keyword into a variable block of the first template to generate a replacement text string; and displaying the replacement text string in place of the input text strings in the text field.

Abstract: In one embodiment, a diagnostic system includes an instrument coupled to a client device and having at least one sample processing bay. The diagnostic system has a software architecture including instrument software (ISW) associated with the instrument. The ISW receives an assay definition file (ADF) that has a control file and an assay analysis module (AAM) file. The processing bay prepares and senses the sample according to parameters in the OPUS file and then generates sensor scan data. The diagnostic system then analyzes the sensor scan data and prepares a report according to the AAM file.

Abstract: The present invention describes a secondary tube tray for use in an automated processing system, the tray comprising a base module and a secondary tube insert. Furthermore, the present invention describes a secondary tube handling module of an automated processing system for automatically processing biological sample, and a method of handling secondary tubes for use in automatically processing biological sample in an automated processing system.

Abstract: The present invention describes a base module (100) and a tray insert (200, 300, 400) of a multipurpose tray (100) for an automated processing system, such as an analytical, pre-analytical or post-analytical processing system, as well as to a multipurpose tray comprising such base module and such tray insert, wherein the tray insert can be particularly used for holding a plurality of reagent or sample tubes to be processed in the automated processing system. The present invention further relates to a method of simplified loading/unloading of such a multipurpose tray into/from the automated processing system.

Abstract: A machine learning model for traversing a decision tree, the machine learning model trained from a structured data set including a first set of key-value pairs and subject-specific criteria using the key-value pairs. The first set of key-value pairs is transformed into a second set of key-value pairs, which are projected to a subject-specific point within a multi-dimensional space. The decision tree includes decision and leaf nodes. Each leaf node is connected to a root node via a leaf-node-specific trajectory. Each decision node corresponds to a criterion using a value in the second set of key-value pairs. For each leaf node, a leaf-node-specific point within the multi-dimensional space is determined using the leaf-node-specific trajectory, and a similarity score is determined using the leaf-node-specific and subject-specific points. A subset of the leaf nodes is identified using the scores. State or protocol information for each leaf node in the subset is retrieved.

Abstract: A gripper system includes: a first gripper finger having a first groove, a second groove, and a third groove; and a second gripper finger having a first groove, a second groove, and a third groove, wherein the gripper is configured to apply a first compression force against length edges of a slide in a widthwise direction at the first grooves, the gripper is configured to apply a second compression force against width edges of the slide in a lengthwise direction at the second grooves, the gripper is configured to apply a third compression force against width edges of the slide in a lengthwise direction at the third grooves, and the third compression force against the width edges of the slide in the lengthwise direction is an orientation in which the slide is rotated perpendicular to an orientation corresponding to a gripping position of the second grooves.

Abstract: An informatics platform provides an architecture to integrate information from relevant patient information systems.

Abstract: The present disclosure provides for a sensor system for determining a flow rate of a fluid flow within a fluid channel comprising an elastic segment arranged next to a rigid segment, wherein a first pair of electrodes is provided at the rigid segment and a second pair of electrodes is provided at the elastic segment of the fluid channel. The system further comprises a sensor unit for detecting a capacitance of the first and second electrode pairs, and a processing unit for calculating and monitoring a distance between the electrodes of the second electrode pair based on the detected capacitance of the first electrode pair and the second electrode pair, wherein the first electrode pair is in contact with the rigid segment and the second electrode pair is in contact with the elastic segment. Moreover, a respective method for determining a flow rate of a fluid flow within a fluid channel is provided by the present disclosure, as well as a use of the sensor system.

Abstract: The present invention is directed to a foldable transport container suitable to receive and hold multiple plates with samples in it. The container is comfortable to load, transport and unload. The invention also relates to a strip of material for providing such a foldable transport container. Finally the invention relates to a method for assembling such a foldable container.