The U.S. Patent & Trademark Office (USPTO) recently issued five U.S. patents to UNM Rainforest Innovations during the months of October, November, and December for technologies invented at the University of New Mexico. The patents, issued during UNM Rainforest Innovations’ 2022 fiscal year second quarter, are for a variety of technologies created by researchers in the Departments of Pharmacy; Computer Science; Chemical and Biological Engineering; Electrical and Computer Engineering; the Center for High Technology Materials; and the Center for Biomedical Engineering.
Issued Patent for “Methods and Compositions for Antimicrobial Treatment”
Patent No. 11,135,325, issue date October 5, 2021
Inventors: Marek Osinski, Hugh Smyth, Leisha Marie Armijo, Hennaka Mudiyanselage Herath Nihal Bandara
Various embodiments disclosed relate to methods and compositions for antimicrobial treatment. In various embodiments, the present invention provides a method of antimicrobial treatment. The method includes at least one of exposing at least one microbe to a magnetic field, and contacting the at least one microbe with at least one nanoparticle including iron.
Issued Patent for “Substituted Thiophene Oligomers and Polymers”
Patent No. 11,154,059, issue date October 26, 2021
This technology is currently licensed.
Inventors: David Whitten, Dylan Brown, Jianzhong Yang, Edward Strach, Mohammed Khalil
The present disclosure provides an antimicrobial substrate including a substrate and a polythiophene polymer. The polythiophene polymer has a number of repeated monomer units from n is 5-14 or 30 to 120, a number average molecular weight (Mn) from 1,000 to 4,000 or 10,000 to 40,000; and a polydispersity index (PDI) from 1 to 1.3. The present disclosure also provides the polythiophene polymer and uses thereof.
Issued Patent for “Compositions for use in Diagnosing and Treating Melanoma, Including Metastatic Melanoma and Methods Related to Same”
Patent No. 11,160,887, issue date November 2, 2021
This technology is currently licensed.
Inventors: Yubin Miao, Haixun Guo
The present invention is directed to novel non-invasive diagnostic tools/compounds comprising a cyclic peptide wherein the compound binds to a MSH receptor to image and treat cancers, especially melanoma, including metastatic melanoma in vivo. The present invention represents a clear advance in the art which presently relies on tissue biopsy for diagnoses of these cancers. The novel imaging probes are capable of detecting cancerous melanoma cells, as well as their metastatic spread in tissues. This represents a quantum step forward in the diagnosis and treatment of melanoma, including metastatic melanoma using non-invasive molecular imaging techniques. The novel probes of the present invention will also be useful to initiate therapy for melanoma as well as monitor patients’ response to chemotherapy treatments and other interventions or therapies used in the treatment of melanoma/metastatic melanoma. Compounds according to the present invention may be used as diagnostic tools for a number of conditions and diseases states as well as therapeutic agents for treating such conditions and disease states.
Issued Patent for “Removing or Preventing Dry Etch-Induced Damage in Al/In/GaN Films by Photoelectrochemical Etching”
Patent No. 11,177,126, issue date November 16, 2021
Inventors: Morteza Monavarian, Daniel Feezell, Andrew Aragon, Saadat Mishkat-Ul-Masabih, Andrew Allerman, Andrew Armstrong, Mary Crawford
Described here is a method that comprises providing a substrate comprising an n-type Al/In/GaN semiconductor material. A surface of the substrate is dry-etched to form a trench therein and cause dry-etch damage to remain on the surface. The surface of the substrate is immersed in an electrolyte solution and illuminated with above bandgap light having a wavelength that generates electron-hole pairs in the n-type Al/In/GaN semiconductor material, thereby photoelectrochemically etching the surface to remove at least a portion of the dry-etch damage.
Issued Patent for “Hybrid Architecture System and Method for High-Dimensional Sequence Processing”
Patent No. 11,188,813, issue date November 30, 2021
Inventors: Alireza Goudarzi, Darko Stefanovic, Steven Graves, Daniel Kalb
The invention is directed to a hybrid architecture that comprises a stacked autoencoder and a deep echo state layer for temporal pattern discovery in high-dimensional sequence data. The stacked autoencoder plays a preprocessing role that exploits spatial structure in data and creates a compact representation. The compact representation is then fed to the echo state layer in order to generate a short-term memory of the inputs. The output of the network may be trained to generate any target output.