AI accurately detects COVID-19 on chest x-rays
Researchers have developed a new AI platform that detects COVID-19 by analyzing X-ray images of the lungs.
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AI uncovers missing info about ethnicity in population health
Machine learning can be used to fill a significant gap in Canadian public health data related to ethnicity and Aboriginal status, according to research by a University of Alberta research epidemiologist.
Deep learning enables screening for eye disease
Researchers created a novel deep learning method that makes automated screenings for eye diseases such as diabetic retinopathy more efficient.
Sorting out viruses with machine learning
Scientists develop a label-free method for identifying respiratory viruses based on changes in electrical current when they pass through silicon nanopores.
Machine learning predicts anti-cancer drug efficacy
With the advent of pharmacogenomics, machine learning research is well underway to predict patients' drug response that varies by individual from the algorithms derived from previously collected data on drug responses.
Using AI to track pandemic’s impact on mental health
Researchers have shown that they can measure those effects of the Corona pandemic on mental health by analyzing the language that people use to express their anxiety online.
AI tool to predict accurate flu forecasts
Researchers have developed an AI-powered forecasting tool for predicting influenza outbreaks.
AI model detects Covid-19 infections through coughs
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
Machine learning algorithm detects early stages of Alzheimer's
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Machine learning comes of age in cystic fibrosis
Researchers have developed AI technology that offers a glimpse of the future of precision medicine, and unprecedented predictive power to clinicians caring for individuals with the life-limiting condition.
Neural networks could help predict future self-harm
Researchers have created artificial intelligence algorithm that can automatically identify patients at high risk of intentional self-harm, based on the information in the clinical notes in the electronic health record.
VR allows scientists to 'walk' inside cells
Virtual reality software which allows researchers to 'walk' inside and analyse individual cells could be used to develop new treatments for disease.
Algorithm could unleash the power of quantum computers
A new algorithm that fast forwards simulations could bring greater use ability to current and near-term quantum computers.
AI models could predict outcomes in trauma
AI has shown early success in improving survival and outcomes in traffic accident victims transported by ambulance and in predicting survival after liver transplantation.
Machine learning takes on synthetic biology
Researchers have developed a new tool that adapts machine learning algorithms to the needs of synthetic biology to guide development systematically.
Device achieves unprecedented control of cell membrane voltage
Scientists have developed a bioelectronic system driven by a machine learning algorithm that can shift the membrane voltage in living cells and maintain it at a set point for 10 hours.
AI detects osteoarthritis years before it develops
Researchers have created a machine learning algorithm that can detect subtle signs of osteoarthritis on an MRI scan taken years before symptoms even begin.
Assessing mental illnesses through digital phenotyping
Digital phenotyping and machine learning have emerged as promising tools for monitoring patients with psychosis spectrum illnesses.
AI signals a possible disease resurgence
Scientists have used machine learning to predict the reemergence of existing infectious diseases.
Machine learning system sorts out materials' databases
Scientists have used machin -learning to organize the chemical diversity found in the ever-growing databases for the popular metal-organic framework materials.
Next-generation cast inspired by animal scales
A graduate has designed wearable technology inspired by protective structures found in the animal world to protect athletes from injury.
COVID-19: Robot takes patients’ vital signs
Researchers hope to reduce the risk to healthcare workers posed by Covid-19 by using robots to remotely measure patients’ vital signs.
Machine learning model may perfect 3D nanoprinting
Scientists and collaborators are using machine learning to address two key barriers to industrialization of two-photon lithography.
Neural network helps doctors explain relapses of heart failure
Researchers have developed an algorithm that not only predicts hospital readmissions of heart failure patients, but also tells you why these occur.
Self-learning ventilation supports COVID-19 patients
Researchers have developed a technique based on self-learning algorithms that improves the performance of the controller by a factor ten.
AI finds patterns of mutations in tumour images
Researchers have developed an AI algorithm that uses computer vision to analyze tissue samples from cancer patients.
Genetic diseases research with quantum computing
Scientists are harnessing the mind-bending potential of quantum computers to help us understand genetic diseases – even before quantum computers are a thing.
AI finds COVID-19 needles in a coronavirus haystack
Scientists have assembled a combination of data mining, machine-learning algorithms and compression-based analytics to bring the most useful data to the fore on an office computer.
Your new lab partner: the robot scientist
Researchers have built an intelligent mobile robot scientist that can work 24-7, carrying out experiments by itself.
