Search Results - anne+andrews

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Subgraph Matching for High-Throughput DNA-Aptamer Secondary Structure Classification and Machine Learning Interpretability (Case No. 2025-104)

Intro Sentence: UCLA researchers in the Department of Mathematics have developed machine learning methods to rapidly identify novel aptamer sequences for target binding to accelerate highly-accurate diagnostic and therapeutic development. Background: Aptamers are single-stranded nucleotide polymers that bind with high affinity to targets such as...

Published: 7/22/2025 | Inventor(s): Andrea Bertozzi, Anne Andrews, Matthew Tyler, Paolo Climaco, Noelle Mitchell

Keywords(s): Advanced Computing / AI, advanced computing methods, Aptamers, Artifical Intelligence (Machine Learning, Data Mining), artificial intelligence/machine learning models, bioinformatics pipeline, cancer target, clustering, computational efficiency, computational efficiency and analysis, design software, DNA clustering, DNA oligomer, DNA Sequencing, Drug, Drug Delivery, Drug Development, Drug Discovery, drug screening, high throughput, high throughput assays, high throughput testing, high-throughput analysis, High-Throughput Screening, interpretability, pipeline, large-scale parallelization, Machine Learning, machine learning modeling, motif structures, open source, open source code, OpenAI, Pharmaceutical Drug, protein classification, secondary structure, SELEX, sequences of interest, single strand DNA sequences, Software, Software & Algorithms, Software Development Tools, Software-enabled learning, subgraph matching, target binding, target detection, Targeted Therapy, Targets And Assays, tissue targeting accuracy

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Life Science Research Tools, Life Science Research Tools > Research Methods, Life Science Research Tools > Screening Libraries, Platforms, Platforms > Drug Delivery, Diagnostic Markers > Targets And Assays, Diagnostic Markers, Software & Algorithms > Bioinformatics

A Tissue-Like Multimodal Neural Probe (Case No. 2024-108)

Summary: UCLA researchers in the Department of Materials Science and Engineering have developed a novel self-softening and biocompatible polymer to be used in a neural probe. Background: Implantable bioelectronics are revolutionizing the diagnosis and treatment of neurological and neuropsychiatric disorders. Compared with noninvasive approaches,...

Published: 3/7/2025 | Inventor(s): Anne Andrews, Qibing Pei, Zhixin Xie, Chuanzhen Zhao

Keywords(s): bioelectronics, neural stimulation, Neuroimaging, Neurointervention, neurological disorders, Neuromodulation, Neuropsychological Test, Polymer, Smart Material, soft robotics, thermal stability, Tissue (Biology)

Category(s): Chemical, Chemical > Polymers, Medical Devices > Neural Stimulation, Therapeutics > CNS and Neurology, Materials > Nanotechnology

Determining Oil Well Connectivity Using Nanoparticles

Determining Oil Well Connectivity and Contents Using NanoparticlesUC Case Nos. 2014-866 and 2018-586SUMMARY:UCLA researchers in the Department of Chemistry have developed a method of using nanowires to detect underground fluid reservoir interconnectivities and reservoir contents with high accuracy.BACKGROUND:Most conventional systems for studying the...

Published: 7/17/2025 | Inventor(s): Paul Weiss, Andrea Bertozzi, Stanley Osher, Anne Andrews

Keywords(s): Chemical Manufacturing & Industrial/Bulk Chemicals, Energy & Water, Image Processing, Software & Algorithms

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Energy & Environment > Energy Storage, Energy & Environment > Water Monitoring & Treatment, Chemical > Chemical Sensors, Chemical > Industrial & Bulk Chemicals