
Deep learning-based image segmentation
Scientists have presented a new method for configuring self-learning algorithms for a large number of different imaging datasets – without the need for specialist knowledge or very significant computing power.
Scientists have presented a new method for configuring self-learning algorithms for a large number of different imaging datasets – without the need for specialist knowledge or very significant computing power.
Researchers have developed a new AI platform that detects COVID-19 by analyzing X-ray images of the lungs.
AI offers not only the possibility of better detection of a tumor, a skin lesion or some other indication but also can improve accuracy and efficiency for radiologists.
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.
Scientists develop a label-free method for identifying respiratory viruses based on changes in electrical current when they pass through silicon nanopores.
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.
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.
Researchers have created a deep learning model for drug developers targeting the SARS-CoV-2 main protease.
The University of Surrey has unveiled a device with unique functionality that could signal the dawn of a new design philosophy for electronics, including next-generation wearables and eco-disposable sensors.
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
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.
Researchers have designed a skin-like device that can measure small facial movements in patients who have lost the ability to speak.
Scientists have created synthetic soft surfaces with tongue-like textures for the first time using 3D printing.
Researchers have revelead the mechanism behind making materials used in new memory devices by using artificial intelligence.
Scientists have developed an extremely rapid diagnostic test that detects and identifies viruses in less than five minutes.
Scientists have created a new method of applying machine learning concepts to the tandem mass spectrometry process to improve the flow of information in the development of new drugs.
A new algorithm that fast forwards simulations could bring greater use ability to current and near-term quantum computers.
Find out more about how scientists and physician are using AI to make contributions in the fight against the coronavirus.
Researchers have developed a new tool that adapts machine learning algorithms to the needs of synthetic biology to guide development systematically.
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.
Researchers have created a machine learning algorithm that can detect subtle signs of osteoarthritis on an MRI scan taken years before symptoms even begin.
TransEnterix, Inc. announced that a hospital in New Jersey successfully completed its first surgical procedures using the Intelligent Surgical UnitTM.
A dose of artificial intelligence can speed the development of 3D-printed bioscaffolds that help injuries heal.
New study explores using wearable technologies to develop precision rehab interventions in brain injury survivors.
A new machine learning–based online tool allows for early detection of COVID-19 outbreaks in different U.S. counties.
Digital phenotyping and machine learning have emerged as promising tools for monitoring patients with psychosis spectrum illnesses.
Researchers make the case that Artificial Intelligence tools have the potential to help researchers separate the wheat from the chaff.
Scientists have used machine learning to predict the reemergence of existing infectious diseases.