Search Results - high+throughput+assays

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Multi-Particle System for Capture and Detection of Cellular and Molecular Analytes (Case No. 2025-267)
Summary: UCLA researchers in the Department of Bioengineering have developed a novel multi-particle system that selectively confines cells and molecular reactions within cavities formed by interacting particles. Background: Screening and selecting cells with specific, beneficial traits has become a vital process in using cell-derived products...
Published: 7/29/2025   |   Inventor(s): Dino Di Carlo, Alyssa Arnheim, Michael Mellody, Yuta Nakagawa, Lily Shang
Keywords(s): Assay, B Cell, barcode, Bioassay, biological assays, Biomarker, biomarkers, Biomaterial, capping particles, CAR-T cell platform, CAR-T cell therapy, cavities, cavity-containing particles, Cell and tissue culture, cell encapsulation, cell engineering, cell imaging, cell mapping, cell sorting, cell type identification, cell-based therapy, centrifugation, confinement, Diagnostic Platform Technologies (E.G. Microfluidics), Digital Microfluidics, Drug, Drug Delivery, Drug Discovery, drug screening, high throughput, high throughput assays, high throughput testing, high-throughput analysis, High-Throughput Screening, Immunoassay, Immunoassay Sense (Molecular Biology), Microfluidics, Microfluidics And Mem's, Microfluidics Nanosphere, microparticles, moieties, Nanoparticle, single cell analysis, single cell analysis and testing, Single cell data, single-cell resolution, single-cell trapping
Category(s): Life Science Research Tools, Life Science Research Tools > Cell Counting And Imaging, Life Science Research Tools > Lab Equipment, Life Science Research Tools > Microscopy And Imaging, Life Science Research Tools > Microfluidics And Mems, Medical Devices, Platforms
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