Abstract: According to various embodiments, a machine-learning based system for simulating tropical cyclones (TCs) and assessing TC risk is disclosed. The system includes a hierarchical Poisson genesis module configured to develop a Poisson regression and TC genesis simulation on a plurality of clustering grids. The system further includes an analog-wind track module configured to determine movement of a TC by both analog predictors formed by historical track patterns and current in situ wind. The system additionally includes a Markov intensity module configured to determine intensity change of the TC by considering three hidden discrete states of storm intensity change and associating each state with a probability distribution of intensity change.
Abstract: According to various embodiments, a machine-learning based system for diabetes analysis is disclosed. The system includes one or more processors configured to interact with a plurality of wearable medical sensors (WMSs). The processors are configured to receive physiological data from the WMSs and demographic data from a user interface. The processors are further configured to train at least one neural network based on a grow-and-prune paradigm to generate at least one diabetes inference model. The neural network grows at least one of connections and neurons based on gradient information and prunes away at least one of connections and neurons based on magnitude information. The processors are also configured to output a diabetes-based decision by inputting the received physiological data and demographic data into the generated diabetes inference model.
Type:
Application
Filed:
June 16, 2020
Publication date:
August 4, 2022
Applicant:
The Trustees of Princeton University
Inventors:
Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha
Abstract: The present disclosure provides an immune cell genetically modified to produce two antigentriggered polypeptides, each recognizing a different cell surface antigen. The present disclosure provides a system two antigen-triggered polypeptides, each recognizing a different cell surface antigen. The present disclosure provides a method of killing a target cancer cell, using a genetically modified immune cell or a system of the present disclosure. The present disclosure provides a computational method to identify target antigen pairs on a cancer cell.
Type:
Grant
Filed:
May 5, 2017
Date of Patent:
August 2, 2022
Assignees:
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE TRUSTEES OF PRINCETON UNIVERSITY, THE SIMONS FOUNDATION INC.
Inventors:
Wendell A. Lim, Olga G. Troyanskaya, Benjamin VanderSluis, Ruth Dannenfelser
Abstract: According to various embodiments, a sensing device for measuring oxygen concentration cycles in breath is disclosed. The sensing device includes a laser configured to emit light at an A-band of oxygen, a lens configured to collimate the light, and a multi-pass cell configured to contain a replaceable sample cell. The light passes through the multi-pass cell and is attenuated by oxygen in the sample cell. The sensing device further includes a photodetector configurated to convert the attenuated light into an electrical signal, and a lock-in amplifier or an equivalent processing circuit configured to determine oxygen concentration from the electrical signal.
Type:
Application
Filed:
May 6, 2020
Publication date:
July 28, 2022
Applicant:
The Trustees of Princeton University
Inventors:
Charles L. Patrick, Jonas Westberg, Gerard Wysocki
Abstract: The present invention relates to granular composite density enhancement, and related methods and compositions. The application where the properties are valuable include but are not limited to: 1) additive manufacturing (“3D printing”) involving metallic, ceramic, cermet, polymer, plastic, or other dry or solvent-suspended powders or gels, 2) concrete materials, 3) solid propellant materials, 4) cermet materials, 5) granular armors, 6) glass-metal and glass-plastic mixtures, and 7) ceramics comprising (or manufactured using) granular composites.
Type:
Grant
Filed:
March 15, 2016
Date of Patent:
July 26, 2022
Assignees:
The Trustees of Princeton University, Heavy Metal LLC
Abstract: According to various embodiments, a method for generating a compact and accurate neural network for a dataset that has initial data and is updated with new data is disclosed. The method includes performing a first training on the initial neural network architecture to create a first trained neural network architecture. The method additionally includes performing a second training on the first trained neural network architecture when the dataset is updated with new data to create a second trained neural network architecture. The second training includes growing one or more connections for the new data based on a gradient of each connection, growing one or more connections for the new data and the initial data based on a gradient of each connection, and iteratively pruning one or more connections based on a magnitude of each connection until a desired neural network architecture is achieved.
Type:
Application
Filed:
March 20, 2020
Publication date:
July 14, 2022
Applicant:
The Trustees of Princeton University
Inventors:
Xiaoliang DAI, Hongxu YIN, Niraj K. JHA
Abstract: Provided are phosphonopyrazole-based phosphohistidine analogs that are useful as haptens for the preparation of immunogens, immunogens that include these haptens linked to carrier molecules, antibodies thereto and uses of these antibodies, haptens, immunogens and phosphohistidine analogs.
Type:
Application
Filed:
March 29, 2022
Publication date:
July 14, 2022
Applicant:
The Trustees of Princeton University
Inventors:
Tom W. Muir, Rob C. Oslund, Jung-Min Kee
Abstract: According to various embodiments, a method for reducing heading error in a magnetometer that uses Rb-87 atoms is disclosed. The method includes varying a direction and magnitude of a magnetic field at different spin polarization regimes. According to various embodiments, a magnetometer adapted for reduced heading error is disclosed. The magnetometer includes a multipass cell containing Rb-87 vapor, a pump laser operated in a pulse mode that is synchronous with a Larmor frequency, and two orthogonal probe lasers configured to rotate to vary a direction and magnitude of a magnetic field at different spin polarization regimes.
Type:
Application
Filed:
May 28, 2021
Publication date:
July 14, 2022
Applicant:
The Trustees of Princeton University
Inventors:
Wonjae Lee, Michael Romalis, Vito Giovanni Lucivero, Mark Limes, Elizabeth Foley, Tom Kornack
Abstract: Disclosed is a process to make nanoparticles highly loaded with water soluble actives, including biologics such as proteins and peptides, which are stabilized by random copolymers. The random copolymers used have all been approved by the FDA for oral formulations. The nanoparticles have a hydrophilic core and a hydrophobic corona and can be further processed through a number of different routes. The process to make these particles is highly scalable and could be used industrially.
Type:
Application
Filed:
May 6, 2020
Publication date:
July 7, 2022
Applicant:
The Trustees of Princeton University
Inventors:
Robert F. Pagels, Chester E. Markwalter, Justin Gourary, Robert K. Prud'homme
Abstract: The invention described herein relates to sterically stabilized colloidal constructs comprising preformed colloidal particles encapsulated within a polymeric shell. The constructs, which are controllably sized, are nanoparticles comprising hydrophobic elements, electrostatically charged particles with hydrophobic surfaces, hydrophobic inorganic nanostructures, and amphiphilic copolymers with hydrophobic domains and hydrophilic domains. The constructs are made by a process that allows for the simultaneous encapsulation of a preformed colloidal agent as well as a dissolved hydrophobic active within the core of the polymeric nanoparticle. Among the actives incorporated in various embodiments are organic fluorescent dyes, metal nanostructures and superparamagnetic materials for use in combined fluorescence, optical and magnetic resonance imaging applications, and hydrophobic drugs for therapeutic applications.
Type:
Grant
Filed:
February 28, 2018
Date of Patent:
July 5, 2022
Assignee:
The Trustees of Princeton University
Inventors:
Robert K Prud'homme, Marian Gindy, Ying Liu
Abstract: The present invention relates to compositions comprising isolated, single stranded RNA molecules and pharmaceutically acceptable carriers suitable for injection. The present invention relates to methods for stimulating an immune response and treating tumors. The present invention further relates to kits comprising a cancer vaccine and compositions of the present invention for use as an adjuvant to cancer vaccines.
Type:
Application
Filed:
July 25, 2019
Publication date:
June 30, 2022
Applicants:
ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI, The Trustees of Princeton University
Inventors:
Maciej T. Nogalski, Alexander Solovyov, Thomas Shenk, Benjamin D. Greenbaum
Abstract: A cell-based device and method are disclosed for in vitro testing of compositions or compounds for irritation potential. Both the device and method comprise a) a confluent layer of corneal epithelial cells supported on a chemically patterned hydrogel, where the cells are aligned with the chemical pattern, b) a collector to receive effluent fluid, and optionally c) a detector. The device and method can also comprise an extracellular matrix (ECM) assembled by corneal keratocytes supported on the chemically patterned hydrogel. The cell-based device and method provide simple replacements for the in vivo Draize rabbit eye irritation test.
Abstract: A 10-formyl-THF pathway for producing NADPH is useful in the diagnosis and treatment of cancer and metabolic disease, in the development of new antineoplastic agents and/or regimens, in the development of new methods for measuring metabolic pathway activity, and in the development of new therapeutics for treating metabolic disease.
Type:
Grant
Filed:
September 15, 2016
Date of Patent:
June 28, 2022
Assignee:
The Trustees of Princeton University
Inventors:
Joshua D. Rabinowitz, Jing Fan, Gregory S. Ducker
Abstract: Methods and systems for organic vapor jet deposition are provided, where an exhaust is disposed between adjacent nozzles. The exhaust may reduce pressure buildup in the nozzles and between the nozzles and the substrate, leading to improved deposition profiles, resolution, and improved nozzle-to-nozzle uniformity. The exhaust may be in fluid communication with an ambient vacuum, or may be directly connected to a vacuum source.
Type:
Grant
Filed:
December 21, 2010
Date of Patent:
June 28, 2022
Assignees:
The Regents of the University of Michigan, The Trustees of Princeton University
Abstract: According to various embodiments, a method for detecting security vulnerabilities in at least one of cyber-physical systems (CPSs) and Internet of Things (IoT) devices is disclosed. The method includes constructing an attack directed acyclic graph (DAG) from a plurality of regular expressions, where each regular expression corresponds to control-data flow for a known CPS/IoT attack. The method further includes performing a linear search on the attack DAG to determine unexploited CPS/IoT attack vectors, where a path in the attack DAG that does not represent a known CPS/IoT attack vector represents an unexploited CPS/IoT attack vector. The method also includes applying a trained machine learning module to the attack DAG to predict new CPS/IoT vulnerability exploits. The method further includes constructing a defense DAG configured to protect against the known CPS/IoT attacks, the unexploited CPS/IoT attacks, and the new CPS/IoT vulnerability exploits.
Type:
Application
Filed:
February 25, 2020
Publication date:
June 23, 2022
Applicant:
The Trustees of Princeton University
Inventors:
Tanujay Saha, Najwa Aaraj, Niraj K. Jha
Abstract: The present invention provides tissue scaffolds, methods of generating such scaffolds, and methods of use of such scaffolds to generate aligned and functional neural tissues for use in methods including regenerative medicine, wound repair and transplantation.
Type:
Grant
Filed:
October 5, 2016
Date of Patent:
June 21, 2022
Assignee:
THE TRUSTEES OF PRINCETON UNIVERSITY
Inventors:
Jeffrey Schwartz, Jean E. Schwarzbauer, Casey M. Jones, Patrick E. Donnelly, Stephen B. Bandini, Shivani Singh
Abstract: Disclosed is a spectroscopic device, system, and method for measuring the concentration of one or more molecular species of interest in a gas, liquid or solid sample, where the device may be portable, may be commercially manufactured, and/or may be adapted to existing systems and/or integrated with new systems to provide optical gas sensing for such systems. The disclosed devices, systems, and methods can be particularly useful in monitoring the purity of, e.g., a certain gas species, including determining whether a gas mixture contains certain gas species above a set concentration limit.
Type:
Application
Filed:
February 21, 2020
Publication date:
June 16, 2022
Applicant:
The Trustees of Princeton University
Inventors:
Mark ZONDLO, Lei TAO, Da PAN, Josh COLLINS, Howard Y. Bell, Alice Margaret Sophie ELLIOTT, Patrick Minter KILLOUGH, Bernardus Maria GEERTSHUIS, Herie Javier SOTO
Abstract: A system and method for monitoring the pressure of an injection site, utilizing a fluid operating in the laminar regime flowing through a calibrated tube, and measuring a pressure at one end of the calibrated tube with a pressure sensor, as well as a fluid velocity with a flow sensor, such as an elastic filament velocimeter, that comprises a nano-scale sensing element. Additional elements may be utilized, including the use of data acquisition units, processors, user interfaces, pumps, syringes, and control loops.
Type:
Grant
Filed:
February 22, 2018
Date of Patent:
June 7, 2022
Assignee:
THE TRUSTEES OF PRINCETON UNIVERSITY
Inventors:
Marcus Hultmark, Yuyang Fan, Clay Byers, Matthew Fu