Machine learning algorithm for early prediction of clinical deterioration events
A novel machine learning-based predictive modeling method to predict clinical deterioration events such as (but not limited to) ICU transfer and ventilator use. This enables ‘predictive triaging’, i.e. being able to make triaging decisions hours to days ahead of actual deterioration of a critically ill patient. Factors impacting the deterioration are also explicated, which can be used to prevent the deterioration.
Machine learning model for ICU management
A machine learning model that uses doctor’s notes for improved prediction of patient condition in ICU settings.
SmartPal: An AI-driven mobile application designed to enhance student engagement
An AI-powered educational companion for enhanced student engagement and performance in instructor-led courses.
DeepPTx: parallel transmission MRI using deep learning
A novel deep neural network to enhance MRI image reconstruction.
Inverse modeling based approach for land cover mapping
A modeling approach for generating land cover maps for crop growth predictions utilizing satellite images and weather data
Image processing technique for improved MRI image fidelity
A novel technique to improve MRI image fidelity via the combination of a denoising and deep learning-based reconstruction.
Machine learning model to mitigate the spread of false information on social networks
A machine learning model to identify and classify misinformation spreaders on social networks.
Personalized Online Self-Learning System (POSLS™)
A set of machine learning algorithms to enable hyper personalization of online learning.
Endotracheal intubation with computer vision
A machine learning-based intubation tube for autonomous or computer-assisted endotracheal intubation.
Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask
A method that enables the rapid recognition of wheat spikes and the fungus Fusarium Head Blight diseased areas in wheat.
Feed-forward XOR physical unclonable functions
Feed-forward XOR physical unclonable functions for device authentication software security
A data privatization method which maintains statistical accuracy
A novel data protection method that maintains the statistical accuracy of the data and also provides state-of-the-art data privacy.
Enhancement of dynamic wireless communication system speed and performance using continuous learning
An approach that enables data-driven methods to continuously learn and optimize resource allocation strategies in dynamic environments of wireless communications.
Assisted machine learning architecture
A disruptive machine learning architecture invented for privacy-sensitive entities to collaborate with each other without sacrificing the quality of gained intelligence.