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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
Methods and Systems for Low-Cost Medical Image Annotation Using Non-experts (Case No. 2025-108)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-based interface designed to enable individuals without specialized training to identify arthritis in medical imaging. Background: The use of artificial intelligence (AI) for medical imaging analysis holds great promise for the future of healthcare....
Published: 7/23/2025
|
Inventor(s):
Xiang Chen
,
Youngseung Jeon
,
Christopher Hwang
Keywords(s):
3D tissue imaging
,
AI-guided diagnostics
,
AI-guided medical imaging
,
AI-guided medical intervention
,
arthritis
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence algorithms
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
Artificial Neural Network
,
bioimaging
,
Computer-Aided Diagnosis
,
computer-aided radiology
,
Diagnostic Markers & Platforms
,
Diagnostic Test
,
diagnostics
,
generative artificial intelligence
,
Image Analysis
,
Image Resolution
,
Imaging
,
infrared thermal imaging
,
Machine Learning
,
machine learning modeling
,
machine perception
,
Magnetic Resonance Imaging Medical Physics
,
Magnetic Resonance Imaging Pathology
,
Medical artificial intelligence (AI)
,
Medical diagnostics
,
Medical Imaging
,
Microscopy And Imaging
,
non-invasive imaging
,
osteoarthritis
,
radial MRI
,
radiologic imaging
,
Radiology
,
Radiology / Radiomitigation
,
radiosurgery
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
,
Life Science Research Tools
,
Life Science Research Tools > Lab Equipment
,
Life Science Research Tools > Microscopy And Imaging
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems
,
Therapeutics
,
Therapeutics > Musculoskeletal Disease
,
Therapeutics > Radiology