International Business Machines Corporation

Globalfoundries Inc.

Christine Schieber

Julia S Baldauf

Stephen Michael Moore

Matthew Downton

Darcy James Beurle

Kerry J Halupka

Stefan Harrer

Alexe Bojovschi

George Yiapanis

Benjamin Scott Mashford

John Michael Wagner

Sergiy Zhuk

Richard L Martin

Antonio Jose Jimeno Yepes

Alix M Lacoste

Priscilla Racquel Rogers

Roslyn I Hickson

Natalie J Gunn

David Martinez Iraola

Annalisa Jean Swan

Colin Compas

Sridhar Kannam

Noel Garry Faux

Benjamin W Goudey

Bowen Fung

A method of generating a 4D model includes capturing imagery of a catheter and a vessel as the catheter is directed through the vessel to a location of interest, wherein the catheter is disposed on a guidewire, constructing a 3D time varying reference curve describing a trajectory of the guidewire, and constructing a time varying 3D model of the artery using the reference curve.

Intravascular catheter for modeling blood vessels

A method including generating a 3-D model of an unstenosed geometry of a blood vessel responsive to a 3-D model of an actual geometry of the blood vessel, establishing a parametric description of a stent that is expanded from a collapsed configuration to a final configuration that apposes the unstenosed geometry, developing a design for the stent by varying parameters of the parametric description responsive to a design heuristic that includes risk of stent strut breakage during a plastic deformation between the collapsed configuration and the final configuration, embodying the stent according to the design for the stent, inserting the stent into a blood vessel in its collapsed configuration, maneuvering the stent through the blood vessel to a stenosis, and expanding the stent to its final configuration.

Personalized coronary stents

Method and apparatus for predicting amyloid beta (A&#x3b2;) and phosphorylated tau (p-tau) biomarker levels in the cerebrospinal fluid (CSF) of patients. Embodiments include determining current values for a plurality of easily-measurable attributes of a first patient. Embodiments include analyzing data associated with a cohort of patients having known measurements of A&#x3b2; and p-tau biomarker levels, including determined values for the plurality of easily-measureable attributes. Embodiments include generating a predicted value for A&#x3b2; and/or p-tau biomarker levels for the first patient. Embodiments include generating a risk of the first patient developing AD at a future time, generating a probability of a patient's predicted rate of decline, and/or generating a probability of a patient's age at the onset of dementia, based on the predicted values for A&#x3b2; and/or p-tau biomarker levels.

Machine learning for amyloid and tau pathology prediction

In one example, a method includes providing a pulp composed of a combination of particulate materials including particles of a target material. The pulp is mixed with a collector composed of anisotropic particles having at least two separate spatial domains that have different physiochemical properties, and the mixture of pulp and collector is fed into an aqueous solution containing air bubbles.

Froth flotation with anisotropic particle collectors

A method, computer system, and a computer program product for automatically extracting and normalizing at least one mutant gene entity from at least one set of unstructured text is provided. The present invention may include extracting the unstructured text describing first and second entities. The present invention may then include identifying a specific first entity and a specific second entity. The present invention may also include associating the specific first and the specific second entities. The present invention may further include creating the mutant gene entity. The present invention may then include identifying at least one semantic relationship between the created mutant gene entity and one or more third entities. The present invention may further include storing the at least one set of data associated with the specific first and specific second entity, the semantic relationship, and the created mutant gene entity in a database.

Extraction and normalization of mutant genes from unstructured text for cognitive search and analytics

A catheter including a monitoring body and a pair of markers disposed on the monitoring body, each marker of the pair of markers encircling the monitoring body, wherein the pair of markers are configured to indicate, through their appearance from a given point of view, an orientation of the monitoring body.

Intravascular catheter including markers

Apparatus for supporting personalized coronary stents

Personalized coronary stent methods

A system for estimating fractional flow reserve (FFR) includes a front end application to receive image frames from an imaging system to develop a model of a vasculature system based on an observed concentration time profile at locations within the model using contrast dye in the vasculature system and movement of the vasculature system. A graphics processing unit is configured to represent a computed concentration time profile in the vasculature system using a Lattice-Boltzmann Method (LBM) to generate a representation of the vasculature system. A dynamic controller tunes a velocity field based on a mismatch between the observed concentration time profile and the computed concentration time profile at the locations within the model to obtain a best estimate of the velocity field to perform a FFR measurement.

Real-time cloud-based virtual fractional flow reserve estimation

Data relating to fluid dynamics is obtained using a flow field sensor that measures acceleration and angular velocity of the sensor on three axes. Ballast control allows the sensor to obtain neutral buoyancy within the fluid. The sensor is effective in opaque fluids and closed containers as data is stored in a removable memory. Froth flotation systems are among the applications for the sensor. The small size, the geometry, and the center of mass of the sensor allow it to follow the flow field in a vessel without material disruption of the flow field or weight-induced angular displacement.

Flowfield sensors for monitoring liquid flow

Nanobubbles are employed to bridge microbubbles and non-buoyant particles, thereby creating sufficient capillary forces between the particles and microbubbles such that relatively large, heavy particles can be separated from an aqueous slurry. Nanobubbles are formed on hydrophobic particle surfaces. The microbubbles, which function as collecting air bubbles, form attachments with the particles. The nanobubbles create additional capillary attachment forces between the particles and microbubbles, allowing the microbubbles to rise with the attached particles to the top of the slurry for separation and recovery.

Nanobubbles for enhanced interaction between solids and gas volumes

A method for making a single molecule receptor in a nanopore structure includes depositing a material by a physical vapor deposition (PVD) technique onto a selected interior surface of a nanochannel and functionalizing a surface of the material with a chemical compound having at least two functional groups. The material forms a patch having a diameter of about 3 to about 10,000 nanometers (nm). Also disclosed are embodiments of a nanopore structure including a single molecule receptor.

Growing community of inventors

Southbank, Australia

Christine Schieber