Abstract: In patient cohort identification, clustering (30) of patients is performed using a patient comparison metric dependent on a set of features (24). Information is displayed on sample patients who are similar or dissimilar to a query patient according to the clustering. User inputted comparison values are received comparing the sample patients with the query patient. The set of features and/or feature weights are adjusted to generate an adjusted patient comparison metric having improved agreement with the user inputted comparison values. The clustering is repeated using the adjusted patient comparison metric. A patient cohort is identified from a cluster (34) containing the query patient produced by the last clustering repetition. The information on the sample patients may be shown by simultaneously displaying two or more graphical modality representations (70, 72, 74) each plotting the sample patients and the query patient against two or more features of the modality.

Abstract: The present invention generally relates to time allocation of a clinical process. It is proposed in the present invention to introduce statistical significance as an indicator of the real improvement of activities in the modified time allocation against the original time allocation to achieve a statistically meaningful time allocation.

Abstract: In patient cohort identification, clustering (30) of patients is performed using a patient comparison metric dependent on a set of features (24). Information is displayed on sample patients who are similar or dissimilar to a query patient according to the clustering. User inputted comparison values are received comparing the sample patients with the query patient. The set of features and/or feature weights are adjusted to generate an adjusted patient comparison metric having improved agreement with the user inputted comparison values. The clustering is repeated using the adjusted patient comparison metric. A patient cohort is identified from a cluster (34) containing the query patient produced by the last clustering repetition. The information on the sample patients may be shown by simultaneously displaying two or more graphical modality representations (70, 72, 74) each plotting the sample patients and the query patient against two or more features of the modality.

Abstract: A system for characterizing intercellular communication and heterogeneity in cancer tumors, and more particularly a method for detecting sub-populations and receptor-ligand states for providing predictive information in relation to cancer and cancer treatment is disclosed. The system comprises the steps of obtaining from a NGS sequencer, single-cell RNA-seq for a plurality of cells within a tumor, correlation with a plurality of data sets from a curated gene list of receptor-ligand pairs, normalizing their transcript abundance data, assigning states (e.g. 0,1,2,3) to each curated receptor-ligand pair in each cell (e.g.

Abstract: A data-driven integrative visualization system and a method for visualization and exploration of the multi-modal features of a cohort of samples, is disclosed Specifically, a method for providing an interactive computation and visualization front-end of a genomics platform for presenting the complex multiparametric and high dimensional, multi-omic data of a patient with respect to a cohort of samples, that assists the user in understanding the similarities and differences across individual or groups of samples, identify correlation among different features and improve treatment planning and long term patient care, is described. The method may include obtaining and inputting multi-omic data of a patient and/or cohorts, identifying multi-modal feature variations and their relationships, and displaying this information in an interactive circular format on a GUI, from which the user can access further information.

Abstract: A data-driven integrative visualization system and method for summarizing and presenting genomic aberrations, their drug responses and multi-omic data of a patient, is disclosed. Specifically, a method for displaying genomic aberrations and multi-omic data of a patient in an interactive tool which allows the medical practitioner to access underlying supporting biologic and scientific evidence from relevant knowledge bases through a set of graphical interactions, is described. The method comprises the steps of obtaining and inputting multi-omic data of a patient or cohorts, identifying genomic aberrations and their drug responses, and displaying this information in a first level interactive classical/circular ideogram in one or multiple layers on a GUI, from which the user can access and view further information on the gene and molecular levels. The system provides an improved process of integrative analysis on a patient's multi-omic data for effective treatment planning.

Abstract: Alighting system may include: at least one controller which may be configured to: obtain lighting logging data including feature information related to features of the lighting system and obtained from a plurality of feature spaces; determine lighting prediction data which predicts at least one component failure in the lighting system at a future time in accordance with the lighting logging data and include at least one complex feature; model predicted component failures which are predicted to occur at a future time in accordance with the lighting prediction data and maintenance cost; and/or store the predicted component failures model in a memory.

Abstract: A lighting system which includes at least one controller which is configured to: obtain lighting logging information related to operation of a lighting system including a plurality of lamps from a lighting logging data portion; model lamp failures in the lighting system in accordance with the lighting logging information in the lighting system and maintenance cost, the model having a time range; predict failures in the lighting system at future times at least in part in accordance with the prediction model; form a graphical user interface (GUI) which includes a graphical depiction of the model; and render the GUI on a rendering device.

Abstract: Alighting system may include: at least one controller which may be configured to: obtain lighting logging data including feature information related to features of the lighting system and obtained from a plurality of feature spaces; determine lighting prediction data which predicts at least one component failure in the lighting system at a future time in accordance with the lighting logging data and include at least one complex feature; model predicted component failures which are predicted to occur at a future time in accordance with the lighting prediction data and maintenance cost; and/or store the predicted component failures model in a memory.

Abstract: A lighting system which includes at least one controller which is configured to: obtain lighting logging information related to operation of a lighting system including a plurality of lamps from a lighting logging data portion; model lamp failures in the lighting system in accordance with the lighting logging information in the lighting system and maintenance cost, the model having a time range; predict failures in the lighting system at future times at least in part in accordance with the prediction model; form a graphical user interface (GUI) which includes a graphical depiction of the model; and render the GUI on a rendering device.

Abstract: A portable computing device (212) includes an analog clock device (244), a shift timer device (230), and a display device (214). The analog clock device (244) is configured to generate an analog clock face including concentric circles and task icons, each concentric circle including arranged icons of a selected task type. The shift timer device (230) is configured to identify a selected time window on the analog clock face. The display device (214) is configured to display the generated analog clock face. A display device 303 may display neonatal intensive care unit related information. Caregiver information, including information relating to a caregiver workload, may be displayed. Patient information, including vital sign information and event information, may be displayed.

Abstract: Systems and methods for providing an indication of the relative condition of neonatal subjects. Test datasets are obtained which describe monitored vital functions of a test subject. The test dataset is compared with one or more previously obtained model datasets describing model vital functions. Based on the comparison of the test datasets with the model datasets of vital functions a progress prediction for the development of the vital functions of the test subject may be determined. An indication of the progress prediction for the development of vital functions may be presented to a user to assist in the future handling of the test subject.

Abstract: A method of navigating, organizing, browsing, searching, and selecting information objects and/or content in a ring based structure is provided wherein the relation between rings are clear and easily grasped. The method is particularly well suited for navigating in media content. The method comprises locating a number of information objects, displaying one or more of the information objects on a display in a ring based structure comprising one or more rings, and changing the size of a specific ring by selecting the specific ring. By this enlargement, the visibility of information objects comprised in the specific ring is increased, and the individual information objects visually present in the ring, may readily be selected from the enlarged ring.