In pattern discovery visual analytics, a patient data table (14) is generated that tabulates, for each patient, attribute values for a set of attributes. A positive or negative prediction is generated for each patient for a target value of a target attribute using a prediction pattern (20) of attribute values for w attributes (22). The prediction is positive if at least a threshold fraction (26) of the w attributes of the patient match the prediction pattern, is negative otherwise. Patients are grouped into a selected proportion of a confusion matrix (30) in accord with the positive or negative predictions and actual values of the target attribute T in the patient data table. A display component (4) displays a representation (42) of patient statistics for the selected proportion of the confusion matrix on a per-attribute basis for attributes of the w attributes. A patient cohort (44) is identified using the representation.

Provided herein are methods and systems for proteome analysis that are at least partially automated and/or performed robotically. In some aspects, the methods and systems described herein can rapidly and efficiently provide protein identification of each of the proteins from a proteome, or a complement of proteins, obtained from extremely small amounts of biological samples. The identified proteins can be imaged quantitatively over a spatial region. Automation and robotics facilitates the throughput of the methods and systems, which enables protein imaging and/or rapid proteome analysis.

Described herein are systems and methods to record and track, via a graphical user interface, biological samples, and biological material extracted therefrom, used to generate genotyping data. As biological samples are processed in several stages to extract biological material and perform genotyping tests, IDs are assigned to biological samples and biological material for individuals as well as well plates used during processing of the biological samples and the biological material in order to organize the samples and the tests. Biological samples are assigned to well plates for use in extracting biological material. Biological material is assigned to genotyping plates for use in performing genotyping tests. By associating IDs corresponding to biological samples or biological material with IDs for well plates or genotyping plates, respectively, a user can track which extractions and/or tests need to be performed and record which biological samples have been received or genotyping plates analyzed.

A method for identifying a reaction site associated with an amplification curve from a plurality of amplification curves is provided. Amplification data is received from a plurality of reaction sites, wherein each reaction site contains a sample. A plurality of amplification curves is generated from the amplification data and a first portion of the plurality of amplification curves is displayed on a display screen. A list of indications of reaction sites associated with the first portion of amplification curves is displayed alongside the first portion of amplification curves on the display screen. Then the view is adjusted to display a second portion of the plurality of amplification curves, and the list is dynamically adjusted to display indications of reaction sites associated with the second portion of amplification curves alongside the second portion of amplification curves on the display screen, wherein the list is configured to be scrollable.

Methods and systems for monitoring and determining antimicrobial resistance and antimicrobial treatment using genomic subtype information. Various embodiments utilize molecular epidemiology and next-generation sequencing technologies (NGS) to monitor multi-drug resistant pathogens and provide early insight into emergent microbial threats.

Disclosed is a measurement method for measuring a test substance contained in a biological sample based on a predetermined measurement principle, comprising acquiring a first measured value of the test substance using a first measurement reagent, and operating the first measured value to an arithmetic value when measured using a second measurement reagent different from the first measurement reagent, by using arithmetic information designed to make a first cut-off value for the measured value obtained using the first measurement reagent correspond to a second cut-off value for a measured value obtained using the second measurement reagent.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Methods and systems for generating character-based phylogeny trees from heritable data from mixture samples are provided. An example method for generating character-based phylogeny trees from heritable data for at least one mixture sample includes the step of generating a plurality of character-state trees based on the data. Each of the character-state trees comprises an arrangement of character-states associated with a particular character. The method also includes the steps of generating a pairwise compatibility graph for the character-state trees and identifying at least one maximal clique within the pairwise compatibility graph. The method additional includes the step of generating at least one phylogeny tree based on the identified at least one maximal clique.

This invention relates to methods and kits for typing and assembling discontinuous genomic elements.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.