Search Results - personalized+medicine

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Spherical Nucleic Acids with Sheddable PEG Layers
Spherical Nucleic Acids with Sheddable PEG Layers for Enhanced Tumor Targeting NU 2017-169 INVENTORS Chad Mirkin* (Northwestern University, Weinberg College of Arts and Sciences, Department of Chemistry, Director of the International Institute for Nanotechnology (IIN)) Brian Meckes Wuliang Zhang SHORT DESCRIPTION For oncology applications,...
Published: 10/30/2025   |   Inventor(s):  
Keywords(s): Biologic, Biomarker, Biomedical, Cancer/Oncology, Chemicals, Diagnostics, Drug delivery, Nanoparticle, Nanotechnology, Personalized medicine, Therapeutics
Category(s): Life Sciences > Therapeutics, Life Sciences > Healthcare Devices, Tools & IT, Life Sciences > Biomarkers & Biomedical Research Tools
Combinatorial Therapy for Preserving Muscle Mass During Weight Loss
Application A combinatorial therapy to preserve muscle mass during semaglutide weight loss treatment. Key Benefits Preserves lean mass during semaglutide treatment in preclinical mouse models. Increases overall fat loss without affecting food/water intake during semaglutide treatment in preclinical mouse models. Market Summary The prevalence...
Published: 10/24/2025   |   Inventor(s): Todd Golde, Yong Ran, Eric Krause, Annette De Kloet, Karen Scott
Keywords(s): Antibodies, Biologics, Drug Discovery, Drug Target Identification, Metabolic Disease Treatments, Musculoskeletal Treatments, Personalized Medicine
Category(s): TechPub Algolia > Therapeutics
Machine Learning to Predict Physiological Age Using Features Extracted From Arterial Blood Pressure (ABP) Waveforms (Case No. 2025-264)
Summary: UCLA researchers in the Department of Anesthesiology have introduced a novel machine learning model that accurately predicts physiological aging by analyzing features extracted from patients’ arterial blood pressure (ABP) waveforms. This approach enables efficient, data-driven assessment of biological aging in clinical settings to facilitate...
Published: 10/23/2025   |   Inventor(s): Maxime Cannesson, Ravi Pal
Keywords(s): Aging, Anesthesiology, biomedical sensors, clinical care methodology, clinical decision support, clinical outcome, Clinical tool, Computer-Aided Diagnosis, consumer health products, Digital Health, digital health system, Fatigue (Medical) , Health and fitness, health risk assessment, Machine Learning, machine learning modeling, Medical Device, Medical diagnostics, Monitoring (Medicine), personalized medicine, Preventive Medicine, public health monitoring, Smart medical device, Structural health monitoring, Telemedicine
Category(s): Diagnostic Markers, Diagnostic Markers > Aging, Life Science Research Tools, Medical Devices
Interactive Systems and Methods for Identifying Target Proteins in Drug Discovery (Case No. 2025-098)
Summary: UCLA researchers from the Department of Electrical and Computer Engineering have developed a novel computational system for target protein identification, enabling integrative drug discovery. Background: Target identification (Target ID) in drug discovery involves the identification and evaluation of protein candidates that could interact...
Published: 10/1/2025   |   Inventor(s): Xiang Chen, Youngseung Jeon, Christopher Hwang, Ziwen Li, Jesus Campagna, Varghese John, Whitaker Cohn, Eunice Jun
Keywords(s): AI-driven drug discovery, Alzheimer’s disease target discovery, Bioinformatics software platform, Drug, Drug Discovery, Functional annotation of proteins, High-throughput docking, large language models (LLMs), Ligand-protein docking, Mechanism-of-action prediction, Molecular docking simulation, Multi-criteria decision support, Neurodegenerative disease therapeutics, Pathway-centric drug targeting, personalized medicine, PPI-Comparator, PPI-Explorer, Protein structure prediction, Protein-protein interaction (PPI) analysis, Rational drug design, Retrieval-augmented generation (RAG), Semantic similarity modeling, Small molecule screening, Systems biology interface, Target identification (Target ID), Therapeutic impact modeling, User-guided AI exploration
Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Life Science Research Tools, Life Science Research Tools > Research Methods, Platforms, Platforms > Drug Delivery
Algorithm for Identifying Images of Fluorescently-Labeled Cells
Improves the ability to distinguish multiple fluorophores with overlapping emission spectra in biological images of labeled cells by a factor of two or more. Background: Cells (including normal and tumor cells), tissues, microbial communities, and other biological systems generally consist of multiple interacting components, especially proteins...
Published: 10/24/2025   |   Inventor(s): Alex Valm, Yunlong Feng
Keywords(s): bacterial cells, bacterial infection, bioengineering, biofilm control, bioinformatics, biomarker diagnostics, biomarkers, cancer, cell biology, computational biology, dental, diagnostics, digital image processing, fluorescence, fluorescence spectroscopy, gene expression analysis, image analysis, image processing, machine learning, medical imaging, microbial pathogenesis, personalized medicine, RNA, saliva, scanning microscopy, Technologies
Category(s): Campus > University at Albany, Technology Classifications > Biological Materials, Technology Classifications > Biomedical Science and Engineering, Technology Classifications > Healthcare, Technology Classifications > Medical Imaging, Technology Classifications > Research Tools and Reagents, Technology Classifications > Therapeutics and Vaccines
System and Circuit of Compute-in-Memory Design for Genome Alignment
Next-generation sequencing (NGS) technologies have revolutionized genomics research because they enable faster, cheaper and accurate decoding of nucleotide sequences. This has resulted in breakthroughs in diagnostics, disease risk assessment, personalized medicines, screening and more. However, despite all the NGS-related advancements that have been...
Published: 5/1/2025   |   Inventor(s): Deliang Fan, Fan Zhang
Keywords(s): Bio-Technology, Computational Machine, Computing Architecture, Gene, Memory, Personalized medicine
Category(s): Artificial Intelligence/Machine Learning, Genomic Assays/Reagents/Tools, Life Science (All LS Techs), Manufacturing/Construction/Mechanical, Semiconductor Devices, Semiconductors, Materials & Processes
Positive Unlabeled Learning With Bias Mitigation for Fair Prediction of Undiagnosed Alzheimer’s Disease (Case No. 2025-113)
Summary: UCLA researchers in the Department of Neurology have developed a software to predict the diagnosis of Alzheimer’s Disease without racial or ethnic biases. Background: Alzheimer’s Disease (AD) represents a major health and economic challenge in the United States. Despite its prevalence, Alzheimer’s remains significantly...
Published: 8/19/2025   |   Inventor(s): Timothy Chang
Keywords(s): Alzheimers disease, artificial intelligence/machine learning models, electronic health records (EHR), medical bias reduction, Neurodegeneration Alzheimer's Disease Predictive Testing, neurological disorders, Neurology, personalized medicine
Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Software & Algorithms > Programs, Diagnostic Markers > Aging, Therapeutics > CNS and Neurology
Fast, Low-Input, Easy and Affordable Chromatin ImmunoPrecipitation (FLEA-ChIP)
FLEA-ChIP (Fast, Low-input, Easy and Affordable Chromatin ImmunoPrecipitation) is an efficient, reproducible, and sensitive method for ultra-low input epigenetic profiling, scalable to single cell resolution. FLEA-ChIP has been specifically designed to identify protein-DNA (histone marks and transcription factors) interactions from limiting and degraded...
Published: 10/23/2025   |   Inventor(s): Roderic Guigo, Silvia Perez-Lluch, Marina Ruiz
Keywords(s): Diagnostics, Epigenetics, Personalized Medicine
Category(s): Methodology, Diagnostics & Prognostics, Research Tools (cell lines, mice, kits, ABs, ...)
Copyright: Large Language Models for Electronic Health Records (Case No. 2024-216)
Intro Sentence: UCLA researchers from the Department of Computational Medicine have developed a novel model for tabulating electronic health records. Background: Electronic Health Records (EHR) provide healthcare systems with insights into health histories. Machine learning models have been developed to use EHR for inference tasks based on specific...
Published: 2/14/2025   |   Inventor(s): Jeffrey Chiang, Simon Lee
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), clinical decision support, EHR, EHR integration, electronic health records (EHR), Hospital Systems And Devices, lab results analysis, large language model (LLNMs), Machine Learning, machine learning modeling, patient questionnaire, personalized medicine, predictive analytics, specialist referral
Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Software & Algorithms > Programs, Medical Devices, Medical Devices > Hospital Systems
Comprehensive and Individualized Menopause Care Delivery Protocol With Technological Decision Support Aid (Case No. 2024-193)
Summary: Researchers in the UCLA Department of Obstetrics and Gynecology have developed a new clinical decision support system for improved menopause care. Background: Each year, approximately 1.3 million women in the United States enter menopause. This is often accompanied by symptoms such as hot flashes, mood changes, and sleep issues. In addition,...
Published: 2/14/2025   |   Inventor(s): Rajita Patil, Erica Oberman, Brittany Davis, Rhonda Voskuhl, Kathleen Van Dyk, Ravi Aysola, Louise Dixon De Silva, Karol Watson, Lua Jafari, Julie Bernthal, Rashmi Mullur, Albert Shieh, Elizabeth Ko, Katie Hu, Aashini Master, Kelly Mccann, Kelsey Collins, Katherine Unverferth, Tamara Grisales, Amy Rosenman, Andrea Rapkin
Keywords(s): clinical care methodology, clinical decision support, EHR, EHR integration, electronic health records (EHR), FemTech, femtech medical device, lab results analysis, medical bias reduction, Menopause, menopause management, patient questionnaire, period, personalized medicine, predictive analytics, specialist referral, women’s health
Category(s): Software & Algorithms, Software & Algorithms > Programs, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > FemTech
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