Search Results - drug+development

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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: 8/19/2025 | 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

2022-223 A Bioanalytics-Enabled and Hollow Microneedle-Based Wearable Technology for Personalized Medicine

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a minimally-invasive wearable device that continuously monitors pharmaceutical concentrations in a user to optimize the drug’s dosage. Background: The annual cost of medication-related morbidity and mortality due to non-optimized pharmacotherapy...

Published: 2/14/2025 | Inventor(s): Sam Emaminejad, Shuyu Lin

Keywords(s): Adverse Drug Reaction, Antibody-Drug Conjugate, Antiviral Drug, Biomonitoring, Blood Glucose Monitoring, Drug, Drug Carrier, Drug Delivery, Drug Delivery Microporous Material, Drug Development, Drug Development Feature Extraction, Drug Discovery, Drug monitoring, Drug Resistance, Drug-Eluting Stent, Extensively Drug-Resistant Tuberculosis, Fine-Needle Aspiration, Gene Combination Drug, Immunosuppressive Drug, interstitial fluid (ISF)-based information, Investigatioal New Drug, Management Of HIV/AIDS Psychoactive Drug, medical automation technology, Medical Device, Medical Devices and Materials, medication customization, medication efficacy, Microneedle array, minimally invasive device, Monitoring (Medicine), Monitoring And Recording Systems, Multiple Drug Resistance, Mutation Drug Design, Nanosensor, Nanostructure, Nanotechnology, non-invasive drug monitoring, personalized dose assessment, Pharmaceutical Drug, Pharmaceutical Drug Ethylene Glycol, Pharmaceutical Drug Opioid Dependence, Prescription Drug, real-time sensing/monitoring/tracking, remote monitoring, sample-to-answer devices, Smart medical device, Therapeutic Drug Monitoring, wearable medical device

Category(s): Mechanical, Mechanical > Sensors, Medical Devices, Medical Devices > Monitoring And Recording Systems, Platforms > Drug Delivery, Software & Algorithms > Bioinformatics, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Sensors, Materials > Nanotechnology

2022-222 A Wearable Aptamer Microneedle Patch for Continuous Minimally-Invasive Biomonitoring

Summary: UCLA researchers in the Department of Bioengineering have developed a novel wearable device for real-time, minimally-invasive medication monitoring. Background: Current medication dosing is determined by taking the average therapeutic dose of a small patient sample size. However, this is often inaccurate for many individuals and the recommended...

Published: 2/14/2025 | Inventor(s): Sam Emaminejad, Shuyu Lin, Jialun Zhu, Xuanbing Cheng

Keywords(s): Biomonitoring, Drug, Drug Delivery, Drug Development, Drug Discovery, Drug Resistance, Invasiveness Of Surgical Procedures, Microneedle array, non-invasive drug monitoring, Personalized Pharmacotherapy, Pharmaceutical Drug, Pharmacokinetics, Pharmacology, Prescription Drug, Therapeutic Drug Monitoring, Therapeutics & Vaccines

Category(s): Life Science Research Tools, Medical Devices, Materials > Nanotechnology