IP Verse

Machine Learning Driven Chemical Compound Replacement Technology - EP4133426

The patent EP4133426 was granted to Notco Delaware on Aug 21, 2024. The application was originally filed on Mar 2, 2022 under application number EP22741686A. The patent is currently recorded with a legal status of "Granted And Under Opposition".

EP4133426

NOTCO DELAWARE
Application Number
EP22741686A
Filing Date
Mar 2, 2022
Status
Granted And Under Opposition
Jul 19, 2024
Grant Date
Aug 21, 2024
External Links
Slate, Register, Google Patents

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HAMPTON KNOWLESMay 20, 2025D YOUNGADMISSIBLE

Patent Citations (17) New

Patent citations refer to prior patents cited during different phases such as opposition or international search.

Citation PhasePublication NumberPublication Link
DESCRIPTIONUS10957424
DESCRIPTIONUS2017139902
DESCRIPTIONUS2017220558
DESCRIPTIONUS2019228855
DESCRIPTIONUS2020365053
INTERNATIONAL-SEARCH-REPORTUS10915818
INTERNATIONAL-SEARCH-REPORTUS10957424
INTERNATIONAL-SEARCH-REPORTUS2004153250
INTERNATIONAL-SEARCH-REPORTUS2011020518
INTERNATIONAL-SEARCH-REPORTUS2017220558
OPPOSITIONUS2019133162
OPPOSITIONWO2013035070
OPPOSITIONWO2019200021
OPPOSITIONWO2020163860
SEARCHUS2017139902
SEARCHUS2019228855
SEARCHUS2020365053

Non-Patent Literature (NPL) Citations (17) New

NPL citations refer to non-patent references such as research papers, articles, or other publications cited during examination or opposition phases.

Citation PhaseReference TextLink
INTERNATIONAL-SEARCH-REPORT- HAHLADAKIS et al., "An overview of chemical additives present in plastics: Migration, release, fate and environmental impact during their use, disposal and recycling", Journal of hazardous materials, vol. 344, doi:10.1016/j.jhazmat.2017.10.014, (20180215), pages 179 - 199, URL: https://www.sciencedirect.com/science/article/pii/S030438941730763X, (20220425), XP085308286 [A] 1-20 * entire document *
OPPOSITION- Anonymous, "Feedforward neural network", Wikipedia, (20210507), pages 1 - 4, Wikipedia, URL: https://en.wikipedia.org/w/index.php?title=Feedforward_neural_network&oldid=1021889859, XP093280930-
OPPOSITION- Anonymous, "Layer (deep learning)", Wikipedia, (20210505), pages 1 - 3, Wikipedia, URL: https://en.wikipedia.org/w/index.php?title=Layer_(deep_learning)&oldid=1021579399, XP093280868-
OPPOSITION- Benjamin Sanchez-Lengeling; Jennifer N. Wei; Brian K. Lee; Richard C. Gerkin; Al\'an Aspuru-Guzik; Alexander B. Wiltschko, "Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules", arXiv.org, Cornell University Library, 201 Olin Library Cornell University Ithaca, NY 14853, 201 Olin Library Cornell University Ithaca, NY 14853 , (20191023), XP081519777-
OPPOSITION- D16 - Application EP 22741686.4 (i.e. PCT/US2022/018483) as filed-
OPPOSITION- Giocastro Barbara, "Optimization, Evaluation and Use of Advanced Gas Chromatography-Mass Spectrometry Methods within the Context of Food Analysis", PhD Thesis, Italy, Università degli Studi di Messina, (20210113), pages 1 - 204, XP093280841-
OPPOSITION- Mwiti Derrick , "The Essential Guide to GNN (Graph Neural Networks)", Intel® Tiber™ AI Studio, (20210414), pages 1 - 8, Intel® Tiber™ AI Studio, URL: https://cnvrg.io/graph-neural-networks/, XP093280925-
OPPOSITION- Sanchez Lengeling Benjamin Manuel, "Towards Inverse Design in Chemistry: Machine Learning Applications in Predictive and Generative Models", Dissertation, Cambridge, Massachusetts, USA, Harvard University, (20190425), pages 1 - 246, XP093280830-
OPPOSITION- Wang Shuqi; Chen Haitao; Sun Baoguo, "Recent progress in food flavor analysis using gas chromatography-ion mobility spectrometry (GC-IMS)", Food chemistry, Elsevier Ltd., NL, NL , (20200107), vol. 315, doi:10.1016/j.foodchem.2019.126158, ISSN 0308-8146, XP086041072
OPPOSITION- Dymerski Tomasz, "Two-Dimensional Gas Chromatography Coupled With Mass Spectrometry in Food Analysis", CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY., CRC PRESS INC., BOCA RATON, FL., US, US , (20180704), vol. 48, no. 4, doi:10.1080/10408347.2017.1411248, ISSN 1040-8347, pages 252 - 278, XP093280863
OPPOSITION- Garg Neelansh, Sethupathy Apuroop, Tuwani Rudraksh, Nk Rakhi, Dokania Shubham, Iyer Arvind, Gupta Ayushi, Agrawal Shubhra, Singh Navjot, Shukla Shubham, Kathuria Kriti, Badhwar Rahul, Kanji Rakesh, Jain Anupam, Kaur Avneet, Nagpal Rashmi, Bagler Ganesh, "FlavorDB: a database of flavor molecules", Nucleic Acids Research, Oxford University Press, GB, GB , (20180104), vol. 46, no. D1, doi:10.1093/nar/gkx957, ISSN 0305-1048, pages D1210 - D1216, XP093280837
OPPOSITION- Santo Raychel E., Kim Brent F., Goldman Sarah E., Dutkiewicz Jan, Biehl Erin M. B., Bloem Martin W., Neff Roni A., Nachman Keeve E., "Considering Plant-Based Meat Substitutes and Cell-Based Meats: A Public Health and Food Systems Perspective", Frontiers in Sustainable Food Systems, (20200831), vol. 4, doi:10.3389/fsufs.2020.00134, ISSN 2571-581X, XP093280878
OPPOSITION- Sabaté Joan, Soret Sam, "Sustainability of plant-based diets: back to the future", American Journal of Clinical Nutrition, Elsevier, (20140701), vol. 100, no. Suppl. 1, doi:10.3945/ajcn.113.071522, ISSN 0002-9165, pages 476S - 482S, XP093280870
SEARCH- PARK D. ET AL, "FlavorGraph: a large-scale food-chemical graph for generating food representations and recommending food pairings", SCIENTIFIC REPORTS, vol. 11, no. 1, doi:10.1038/s41598-020-79422-8, (20210113), URL: https://link.springer.com/content/pdf/10.1038/s41598-020-79422-8.pdf, XP093045796 [A] 1-15 * the whole document *
SEARCH- TENG C-Y. ET AL, "Recipe recommendation using ingredient networks", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, (20111116), doi:10.1145/2380718.2380757, XP080539899 [A] 1-15 * the whole document *
SEARCH- SHIRAI S. S. ET AL, "Identifying Ingredient Substitutions Using a Knowledge Graph of Food", FRONTIERS IN ARTIFICIAL INTELLIGENCE, (20210125), vol. 3, doi:10.3389/frai.2020.621766, XP093076438 [A] 1-15 * the whole document *
SEARCH- PELLEGRINI C. ET AL, "Exploiting Food Embeddings for Ingredient Substitution", PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, 11-13 FEBRUARY 2021, (202102), vol. 5, doi:10.5220/0010202000670077, ISBN 978-989-7584-90-9, pages 67 - 77, XP093077170 [A] 1-15 * the whole document *

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