Virginia Commonwealth University
Explore Virginia Commonwealth University's available technologies.
Interpretable Machine Learning Platform for Genomic Target Identification in Drug Discovery
A suite of novel, interpretable machine learning algorithms designed to identify complex patterns in spectroscopic and genomic data for drug discovery. Unlike black-box models, this approach reveals which genetic markers...
Sulfated Cinnamic Acid Oligomers as UV Radiation Shields for Skin Protection
Novel sulfated 4-hydroxycinnamic acid oligomers with demonstrated antioxidant, anti-inflammatory, and free radical scavenging properties are proposed as topical agents to protect skin from UV radiation-induced oxidative ...
MOF-based air filter for simultaneous VOC removal and pathogen disinfection
A multifunctional air filter combining metal-organic frameworks (MOFs) with commercial MERV-13 filters to capture volatile organic compounds (VOCs) and inactivate airborne pathogens in a single device. Prototype data sho...
Phenocam network for tropical forest phenology monitoring across Latin America and the Caribbean
This project establishes a coordinated network of PhenoCams, time-lapse cameras that continuously photograph forest canopies to track plant phenology, across tropical forest sites in Mexico, the Caribbean, Costa Rica, Ec...
Phase 1: meteorological station network across 15 biological field stations in Costa Rica for automated biodiversity monitoring
This project would fund the installation of meteorological stations at 15 biological field stations distributed across the Area de Conservacion Guanacaste (ACG) in Costa Rica, a hyperdiverse UNESCO World Heritage site. E...
Intron-targeted miRNA therapy for repeat expansion disorders
This innovative therapy targets retained intron sequences in repeat-expanded transcripts using miRNAs, aiming for allele-specific knockdown in disorders like myotonic dystrophy type 2. The approach promises increased spe...
AI-driven optimization of PET container design using reinforcement learning
An AI model using reinforcement learning optimizes PET container design by learning from historical preform design data to improve efficiency, material usage, and quality. The approach integrates with CAD software for re...
Portable autonomous robotic system for plant tissue sampling in greenhouses
Innovative robotic system for autonomous plant tissue sampling in greenhouses, offering precise sample collection and storage. Utilizes off-the-shelf components for affordability and ease of maintenance, with remote oper...
Rapid machine learning model development for food safety using spectroscopy and imaging
This innovative solution utilizes advanced machine learning algorithms to rapidly develop models for food safety, leveraging spectroscopy and hyperspectral imaging data. Models are built faster than traditional methods, ...
Home-use chemical sensors for small-volume biological fluids
A novel sensor technology enabling accurate home-use assays with minimal biological fluid volumes. Detects ions like calcium, magnesium, zinc, and potentially vitamins using a microfluidic setup and colorimetric detectio...
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