
Deep learning tool to revolutionize microscopy
Researchers have developed a deep learning tool that offers new opportunities for analyzing images taken with microscopes.
Researchers have developed a deep learning tool that offers new opportunities for analyzing images taken with microscopes.
Researchers have developed a new soft tactile sensor with skin-comparable characteristics.
AI is helping researchers decipher images from a new holographic microscopy technique needed to investigate a key process in cancer immunotherapy “live” as it takes place.
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
Researchers have analysed whether better design of deep learning studies can lead to the faster transformation of medical practices.
A deep learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.
Computer scientists use TACC systems to generate synthetic objects for robot training.
Researchers have proposed a new framework for training mobile robots to quickly navigate while maintaining low collision rates.
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Scientists have developed a machine learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.
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.
AI is growing ever more powerful and entering people’s daily lives, yet often we don’t know what goes on inside these systems.
Two deep learning algorithms that identify patterns of COVID-19 in lung images and breath sounds, may help in the fight against other respiratory diseases and the growing challenge of antibiotic resistance.
Researchers have developed an AI tool that can measure the volume of cerebral ventricles on MRIs in children within about 25 minutes.
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.
Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.
Researchers created a novel deep learning method that makes automated screenings for eye diseases such as diabetic retinopathy more efficient.
Researchers have created a deep learning model for drug developers targeting the SARS-CoV-2 main protease.
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Researchers have revelead the mechanism behind making materials used in new memory devices by using artificial intelligence.
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.
Researchers at the Hamlyn Centre, Imperial College London, have introduced a novel tool for generating accurate endoscopic datasets.
Find out more about how scientists and physician are using AI to make contributions in the fight against the coronavirus.
Researchers have developed a unique diagnostic tool that can detect dystonia from MRI scans, the first technology of its kind to provide an objective diagnosis of the disorder.
Researchers have applied these artificial intelligence techniques to autism diagnosis.
Researchers announced that their coughing detection camera recognizes where coughing happens, visualizing the locations.
Scientists and collaborators are using machine learning to address two key barriers to industrialization of two-photon lithography.
Researchers have designed a wrist-mounted device and developed software that allows continuous tracking of the entire human hand in 3D.
Researchers have developed a new tool that makes it easier to maximize the power of deep learning for studying genomics.