Search Results - andrea+bertozzi

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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
Active Learning for the Subgraph Matching Problem (Case No. 2022-104)
Summary: UCLA researchers in the Department of Mathematics have developed a technology to improve Artificial Intelligence pattern recognition for image segmentation, bio-chemical reactions and security applications. Background: Recently, there has been an increase in the quantity and complexity of generated data. Businesses that deal with large...
Published: 6/23/2025   |   Inventor(s): Andrea Bertozzi, Yurun Ge
Keywords(s): Algorithm, Software, Software & Algorithms, Software Development Tools
Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics
Monodisperse Emulsions Templated by 3D-Structured Microparticles
dana,Geneva,sans-serif">UCLA Case No. 2019-471 SUMMARY UCLA Researchers in the Departments of Bioengineering and Mathematics have developed a method to generate uniform, thermodynamically stabilized microdroplets with digitizable solid structures. BACKGROUND In standard emulsions, mixtures of different types of liquids result in non-uniform and...
Published: 7/17/2025   |   Inventor(s): Dino Di Carlo, Chueh-Yu Wu, Andrea Bertozzi, Bao Wang, Joseph de Rutte, Kyung Ha
Keywords(s):  
Category(s): Chemical > Instrumentation & Analysis, Chemical > Chemical Processing & Manufacturing
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