Patents by Inventor Maria Angel
Maria Angel has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Patent number: 11986513Abstract: GAL(1-15) and analogues thereof for use in the prevention and/or treatment of alcohol-related effects and disorders. The present invention relates to the use of galanin(1-15), which has the general formula Gly-Trp-Thr-Leu-Asn-Ser-Ala-Gly-Tyr-Leu-Leu-Gly-Pro-His-Ala (GWTLNSAGYLLGPHA)(SEQ ID NO: 1), or an analogue thereof, or pharmaceutically acceptable salt, ester, tautomer, solvate, or hydrate thereof, or a pharmaceutical composition or kit comprising any of same, for use in the prevention and/or treatment of alcohol-related effects and disorders, especially the use thereof to reduce alcohol consumption.Type: GrantFiled: October 2, 2018Date of Patent: May 21, 2024Assignee: UNIVERSIDAD DE MÁLAGAInventors: Carmelo Millón Peñuela, Antonio Flores Burgess, Belén Gago Calderón, María Inmaculada García Fernandez, José Ángel Narváez Bueno, Luis Javier Santín Núñez, Mª Zaida Díaz Cabiale
-
Publication number: 20240150365Abstract: The invention provides pyridinylsulfonamide compounds, pharmaceutical compositions, their use for inhibiting mucosa-associated lymphoid tissue lymphoma translocation protein 1 (MALT1), and their use in the treatment of a disease or condition, such as a proliferative disorder, inflammatory disorder, or autoimmune disorder.Type: ApplicationFiled: August 25, 2023Publication date: May 9, 2024Inventors: Yingzhi BI, Kenneth G. CARSON, Geraldine Cirillo HARRIMAN, Sundarapandian THANGAPANDIAN, Christian Josef KUPER, Sebastien Louis DEGORCE, Arwel LEWIS, Maria Angel PALOMERO-VAZQUEZ, Robert Stuart Laurie CHAPMAN
-
Publication number: 20240150321Abstract: The invention provides pyrazolylsulfonamide compounds, pharmaceutical compositions, their use for inhibiting mucosa-associated lymphoid tissue lymphoma translocation protein 1 (MALT1), and their use in the treatment of a disease or condition, such as a proliferative disorder, inflammatory disorder, or autoimmune disorder.Type: ApplicationFiled: August 25, 2023Publication date: May 9, 2024Inventors: Yingzhi Bi, Kenneth G. Carson, Geraldine Cirillo Harriman, Sundarapandian Thangapandian, Christian Josef Kuper, Sebastien Louis Degorce, Benjamin Paul Whittaker, Arwel Lewis, Maria Angel Palomero-Vazquez
-
Publication number: 20240141372Abstract: The present disclosure provides compositions and methods for producing transgenic banana plants that exhibit increased resistance to Fusarium oxysporum f.sp. cubense Tropical Race 4 (TR4), and the banana plants and bananas so produced.Type: ApplicationFiled: September 19, 2023Publication date: May 2, 2024Inventors: Matthew DiLeo, Jack Q. Wilkinson, Daniel Stauffer, Tomas Hasing, Tengfang Huang, Taylor Frazier-Douglas, Maria Angels de Luis Balaguer, Fayaz Khazi
-
Publication number: 20240107282Abstract: There is provided a computer-implemented method for enabling an Application Function (AF) to request User Plane capabilities of a Mobile Network Operator (MNO). The method comprises requesting, by the AF from a Network Exposure Function (NEF), one or more UP capability groups for a first application identifier (App-ID) and/or one or more UP capabilities for the first App-ID, providing, from the NEF to a network entity, information associated with the one or more UP capability groups for the first App-ID and/or one or more UP capabilities for the first App-ID, storing, at the network entity, the one or more UP capability groups for the first App-ID and/or one or more UP capabilities for the first App-ID; and providing an indication from the NEF to the AF to indicate that the request has been accepted.Type: ApplicationFiled: May 27, 2021Publication date: March 28, 2024Inventors: Miguel Angel Muñoz De La Torre Alonso, Maria Luisa Mas Rosique
-
Publication number: 20240055100Abstract: This disclosure provides a machine learning technique to predict a protein characteristic. A first training set is created that includes, for multiple proteins, a target feature, protein sequences, and other information about the proteins. A first machine learning model is trained and then used to identify which of the features are relevant as determined by feature importance or causal relationships to the target feature. A second training set is created with only the relevant features. Embeddings generated from the protein sequences are also added to the second training set. The second training set is used to train a second machine learning model. The first and second machine learning models may be any type of regressors. Once trained, the second machine learning model is used to predict a value for the target feature for an uncharacterized protein. The model of this disclosure provides 91% accuracy in predicting an ideal digestibility score.Type: ApplicationFiled: December 23, 2022Publication date: February 15, 2024Inventors: Sara Malvar MAUA, Anvita Kriti Prakash BHAGAVATHULA, Ranveer CHANDRA, Maria Angels de LUIS BALAGUER, Anirudh BADAM, Roberto DE MOURA ESTEVÃO FILHO, Swati SHARMA
-
Publication number: 20230406798Abstract: A first aspect of the invention relates to a process for separating 1-methoxypropan-2-ol from an aqueous stream comprising 1-methoxypropan-2-ol and 2-methoxypropan-1-ol, wherein the process comprises providing a stream SO comprising 1-methoxypropan-2-ol, 2-methoxypropan-1-ol and water, and having a molar ratio of 1-methoxypropan-2-ol:2-methoxypropan-1-ol in the range of from 1:5 to 5:1; wherein the final stream S5 comprises ?95 weight-% 1-methoxypropan-2-ol based on the total weight of S5. In a second aspect, the invention relates to 1-methoxypropan-2-ol or a mixture of 1-methoxypropan-2-ol and 2-methoxypropan-1-ol obtained or obtainable from the process of the first aspect.Type: ApplicationFiled: October 28, 2021Publication date: December 21, 2023Inventors: Dominic RIEDEL, Maria Angel SAN PIO BORDEJE, Dylan SEGERS, Joaquim Henrique TELES, Emiel Jan KAPPERT, Ana Luiza DE OLIVEIRA, Meinolf WEIDENBACH, Franciscus Johannes Robertus VAN NEER
-
Publication number: 20230389460Abstract: A deep learning system is used to predict crop characteristics from inputs that include crop variety features, environmental features, and field management features. The deep learning system includes domain-specific modules for each category of features. Some of the domain-specific modules are implemented as convolutional neural networks (CNN) while others are implemented as fully-connected neural networks. Interactions between different domains are captured with cross attention between respective embeddings. Embeddings from the multiple domain-specific modules are concatenated to create a deep neural network (DNN). The prediction generated by the DNN is a characteristic of the crop such as yield, height, or disease resistance. The DNN can be used to select a crop variety for planting in a field. For a crop that is planted, the DNN may be used to select a field management technique.Type: ApplicationFiled: November 17, 2022Publication date: December 7, 2023Inventors: Renato Luiz DE FREITAS CUNHA, Anirudh BADAM, Patrick Bernd BUEHLER, Ranveer CHANDRA, Debasis DAN, Maria Angels de LUIS BLAGUER, Swati SHARMA, FNU ADITI, Sara Malvar MAUA
-
Publication number: 20230271909Abstract: The present invention relates to a process for separating 1-methoxypropan-2-ol in a stream S3 from an aqueous stream comprising 1-methoxypropan-2-ol and 2-methoxypropan-1-ol, wherein the process comprises providing a stream S0 comprising 1-methoxypropan-2-ol, 2-methoxypro-pan-1-ol and water, and having a molar ratio of 1-methoxypropan-2-ol:2-methoxypropan-1-ol in the range of from 1:5 to 5:1. A further aspect of the invention also relates to 1-methoxypropan-2-ol obtained or obtainable from said process, as well as to a mixture of 1-methoxypropan-2-ol and 2-methoxypropan-1-ol, preferably obtained or obtainable from said process, which preferably comprises in the range of from 95 to 100 weight-% 1-methoxypropan-2-ol and ?0.5 weight-% of 2-methoxypropan-1-ol, each based on the total weight of the mixture.Type: ApplicationFiled: June 30, 2021Publication date: August 31, 2023Inventors: Joaquim Henrique TELES, Maria Angel SAN PIO BORDEJE, Dylan SEGERS, Dominic RIEDEL, Emiel Jan KAPPERT, Meinolf WEIDENBACH, Franciscus Johannes Robertus VAN NEER
-
Publication number: 20230089740Abstract: The present invention relates to compositions, methods, uses and kits for treating cancer. The present invention relates to methods for minimising the progression of cancer in a subject, the method comprising administering to the subject therapeutically effective amounts of chymotrypsinogen and trypsinogen, thereby minimising the progression of cancer in the subject. In particular, the methods provide a means for treating cancer by reducing the number of cancer stem cells in the subject.Type: ApplicationFiled: June 3, 2022Publication date: March 23, 2023Applicant: Propanc Pty LtdInventors: Macarena Perán Quesada, Julian Kenyon, Juan Antonio Marchal Corrales, Maria Angel Garcia Chaves
-
Patent number: 11376313Abstract: The present invention relates to compositions, methods, uses and kits for treating cancer. The present invention relates to methods for minimising the progression of cancer in a subject, the method comprising administering to the subject therapeutically effective amounts of chymotrypsinogen and trypsinogen, thereby minimising the progression of cancer in the subject. In particular, the methods provide a means for treating cancer by reducing the number of cancer stem cells in the subject.Type: GrantFiled: January 27, 2017Date of Patent: July 5, 2022Assignee: PROPANC PTY LTDInventors: Macarena Perán Quesada, Julian Kenyon, Juan Antonio Marchal Corrales, Maria Angel Garcia Chaves
-
Publication number: 20190038725Abstract: The present invention relates to compositions, methods, uses and kits for treating cancer. The present invention relates to methods for minimising the progression of cancer in a subject, the method comprising administering to the subject therapeutically effective amounts of chymotrypsinogen and trypsinogen, thereby minimising the progression of cancer in the subject. In particular, the methods provide a means for treating cancer by reducing the number of cancer stem cells in the subject.Type: ApplicationFiled: January 27, 2017Publication date: February 7, 2019Inventors: Macarena Peran, Julian Kenyon, Juan Antonio Marchal Corrales, Maria Angel Garcia Chaves
-
Publication number: 20170226472Abstract: The present invention relates to a serum-free conditioned medium that solves the drawbacks mentioned in the prior art, as it does not require prior handling of the cells, and it furthermore allows starting from a large population with no additional cost. This medium favors in vitro proliferation and conservation of the pluripotency potential that allows maintaining a state that is undifferentiated with respect to the subpopulation of cancer stem cells (CSCs) and in turn does not allow survival of the differentiated cells.Type: ApplicationFiled: August 4, 2015Publication date: August 10, 2017Applicants: Universidad de Granada, Universidad de Jaén, Servicio Andaluz de SaludInventors: Juan Antonio Marchal Corrales, Gema Jiménez González, Cynthia Morata Tarifa, María Ángel García Chaves, Macarena Perán Quesada
-
Patent number: 6833879Abstract: A system and method that facilitates the transformation of PTVs, when in the “OFF” mode, into aesthetically pleasing decorative furniture. The PTV preferably includes a primary and a secondary projection system. The secondary projection system preferably comprises a projection unit optically coupled to the screen of the PTV and an auxiliary image source coupled to the projection unit. Preferably, the program logic of the PTV directs the projection of an image from the secondary projection unit onto the screen when the PTV is in the “OFF” mode.Type: GrantFiled: August 25, 2000Date of Patent: December 21, 2004Assignee: Mitsubishi Digital Electronics America, Inc.Inventors: Maria Angel, Anthony Roberts, Jeffrey G. Whitelaw