Abstract: Various methods and systems are provided for scanning an image subject along a scan axis. The method includes stitching sectional datasets acquired from different anatomical sections of the image subject based on locations of a landmark in the sectional datasets.

Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.

Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.

Abstract: Various methods and systems are provided for scanning an image subject along a scan axis. The method includes stitching sectional datasets acquired from different anatomical sections of the image subject based on locations of a landmark in the sectional datasets.

Abstract: A system for determining an accurate ohmic resistance value associated with a battery cell is provided. The system includes a microprocessor and a memory device. The memory device has a 3-D interpolation table with first, second, third, fourth, fifth, sixth, seventh, and eighth records, each having a respective SOC value, a respective temperature value, a respective current value, and a respective ohmic resistance value. The microprocessor performs a 3-D interpolation calculation based on a first SOC value, a first temperature value, and a first current value and each respective SOC value, each respective temperature value, and each respective current value in the records to determine the accurate ohmic resistance value associated with the battery cell.

Abstract: Methods and compositions for expanding cardiovascular progenitor cells are described herein that include use of compositions and culture media that have at least the following components: BMP4, Activin A, a glycogen synthase kinase 3 inhibitor, and an inhibitor of FGF, VEGF, and PDGF signaling. The methods include contacting cardiovascular progenitor cells with a culture medium having BMP4, Activin A, a glycogen synthase kinase 3 inhibitor, and an inhibitor of FGF, VEGF, and PDGF signaling, to generate an expanded cardiovascular progenitor cell population.

Abstract: Compositions and methods are described herein for chemically inducing cells to change their differentiation state and become cardiac progenitor cells or cardiomyocytes.

Abstract: Visualizing social media conflict is provided. Active users in a set of human users authoring a number of textual messages regarding a particular topic more than a threshold number of textual messages are selected. Keywords are selected that occur more than a threshold number of times within the textual messages regarding the particular topic. A sentiment score is computed for each of the keywords occurring more than the threshold number of times within the textual messages using a keyword co-occurrence graph. A sentiment of each of the active users is determined based on the computed sentiment score of each of the selected keywords that are authored by a particular active user. Two distinct groups from the active users are selected based on at least one of a relationship between the two distinct groups and a determined degree of conflict between the two distinct groups with regard to the particular topic.

Abstract: The present invention relates to a method and apparatus for measuring rotation parameters of a spine on medical images. The method comprises: selecting a reference image and a movement image from the medical images; determining a lower spine image and an upper spine image in the reference image, and determining a lower spine image and an upper spine image in the movement image; registering the lower spine image in the movement image with the lower spine image in the reference image; correcting the upper spine image in the movement image according to output parameters of registration of the lower spine images; superposing the upper spine image in the reference image with the corrected upper spine image in the movement image to obtain a superposed image; and calculating to obtain the rotation parameters according to a position difference between the upper spine image in the reference image and the upper spine image in the movement image on the superposed image.

Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.

Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.

Abstract: A method for improving team performance by refining team structure includes selecting a team of interest comprising a plurality of individuals, visualizing the team of interest using a graph depicting each individual's skills relevant to a task, refining the team of interest based on the visualization, and displaying the refined team of interest. The method of claim 1, wherein refining the team of interest comprises shrinking the team of interest by removing a member. The method may further comprise calculating a shrinkage score for each member of the team of interest, wherein a shrinkage score is representative of the negative effects of removing a team member from the team. The method may additionally include removing the team member with the smallest shrinkage score from the team of interest. A computer program product and computer system corresponding to the method are also disclosed.

Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.

Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.

Abstract: Methods and apparatus are provided for multi-faceted visualization of rich text corpora. A data set comprising a plurality of entities, facets and relations is visualized by generating a visualization of a plurality of the facets in the data set, wherein the visualization indicates connections along the plurality of the facets in a single view using multi-faceted edges. The entities are instances of a particular concept, the facets are classes of entities and the relations are connections between pairs of the entities. A compound node comprises a representation of a primary entity, surrounded by representations of one or more secondary entities connected by one or more external relations. The internal relations can be represented as edges connecting two facet nodes from different compound nodes and a number of crossings of the edges can be reduced by adjusting a position order of facet nodes.

Abstract: Compositions and methods are described herein for chemically inducing cells to change their differentiation state and become cardiac progenitor cells or cardiomyocytes.

Abstract: The present invention relates to a method and apparatus for measuring rotation parameters of a spine on medical images. The method comprises: selecting a reference image and a movement image from the medical images; determining a lower spine image and an upper spine image in the reference image, and determining a lower spine image and an upper spine image in the movement image; registering the lower spine image in the movement image with the lower spine image in the reference image; correcting the upper spine image in the movement image according to output parameters of registration of the lower spine images; superposing the upper spine image in the reference image with the corrected upper spine image in the movement image to obtain a superposed image; and calculating to obtain the rotation parameters according to a position difference between the upper spine image in the reference image and the upper spine image in the movement image on the superposed image.

Abstract: Visualization techniques are provided for a clustered multidimensional dataset. A data set is visualized by obtaining a clustering of a multidimensional dataset comprising a plurality of entities, wherein the entities are instances of a particular concept and wherein each entity comprises a plurality of features; and generating an icon for at least one of the entities, the icon having a plurality of regions, wherein each region corresponds to one of the features of the at least one entity, and wherein a size of each region is based on a value of the corresponding feature. Each icon can convey statistical measures. A stabilized Voronoi-based icon layout algorithm is optionally employed. Icons can be embedded in a visualization of the multidimensional dataset. A hierarchical encoding scheme can be employed to encode a data cluster into the icon, such as a hierarchy of cluster, feature type and entity.

Abstract: Visualizing social media conflict is provided. Active users in a set of human users authoring a number of textual messages regarding a particular topic more than a threshold number of textual messages are selected. Keywords are selected that occur more than a threshold number of times within the textual messages regarding the particular topic. A sentiment score is computed for each of the keywords occurring more than the threshold number of times within the textual messages using a keyword co-occurrence graph. A sentiment of each of the active users is determined based on the computed sentiment score of each of the selected keywords that are authored by a particular active user. Two distinct groups from the active users are selected based on at least one of a relationship between the two distinct groups and a determined degree of conflict between the two distinct groups with regard to the particular topic.

Abstract: Visualizing social media conflict is provided. Textual messages by a set of human users connected via a network regarding a particular topic are collected. Active users in the set of human users authoring a number of textual messages regarding the particular topic more than a threshold number of textual messages are selected. Keywords are selected that occur more than a threshold number of times within the textual messages regarding the particular topic. A sentiment score is computed for each of the keywords occurring more than the threshold number of times within the textual messages using a keyword co-occurrence graph. A sentiment of each of the active users is determined based on the computed sentiment score of each of the selected keywords that are authored by a particular active user.