by Bobbi Nodell, University of Washington Credit: CC0 Public Domain Diabetes continues to be the leading cause of new cases of blindness among adults in the United States. But the current shortage of eye-care providers would make it impossible to keep up with demand to provide the requisite annual screenings for this population. A new study...
Category: <span>Artificial Intelligence</span>
Using artificial intelligence to find new uses for existing medications
OHIO STATE UNIVERSITY COLUMBUS, Ohio – 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. The intent of this work is to speed up drug repurposing, which is not a new concept – think Botox...
Self-learning algorithms analyze medical imaging data
by Technical University Munich Thanks to artificial intelligence, the AIMOS software is able to recognize bones and organs on three-dimensional grayscale images and segments them, which makes the subsequent evaluation considerably easier. Credit: Astrid Eckert / TUM Imaging techniques enable a detailed look inside an organism. But interpreting the data is time-consuming and requires a great...
Findings debunk dozens of prominent published papers claiming to read minds with EEG
PURDUE UNIVERSITY IMAGE: PURDUE UNIVERSITY RESEARCHERS ARE DOING WORK AT THE INTERSECTION OF ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE. IN THIS PHOTO, A RESEARCH PARTICIPANT IS WEARING AN EEG CAP WITH ELECTRODES. CREDIT: CHRIS ADAM/PURDUE UNIVERSITY WEST LAFAYETTE, Ind. – Is it possible to read a person’s mind by analyzing the electric signals from the brain? The...
AI-supported test predicts eye disease three years before symptoms
UNIVERSITY COLLEGE LONDON IMAGE: DARC IMAGE (ABOVE) AND CORRESPONDING OCT IMAGE SLICE (BELOW) CREDIT: NOVAI/UCL/WESTERN EYE HOSPITAL A pioneering new eye test, developed by scientists at UCL in collaboration with the Western Eye Hospital, London, may predict wet AMD, a leading cause of severe sight loss, three years before symptoms develop. Researchers hope their test...
AI predicts which drug combinations kill cancer cells
by Aalto University AI methods can help us perfect drug combinations. Credit: Matti Ahlgren, Aalto University When healthcare professionals treat patients suffering from advanced cancers, they usually need to use a combination of therapies. In addition to cancer surgery, the patients are often treated with radiation therapy, medication or both. Medication can be combined with drugs...
AI SOLVES 50-YEAR-OLD SCIENCE PROBLEM IN ‘STUNNING ADVANCE’ THAT COULD DRAMATICALLY CHANGE HOW WE FIGHT DISEASES
Andrew Griffin @_andrew_griffin A 50-year-old science problem has been solved and could allow for dramatic changes in the fight against diseases, researchers say. For years, scientists have been struggling with the problem of “protein folding” – mapping the three-dimensional shapes of the proteins that are responsible for diseases from cancer to Covid-19. Google’s Deepmind claims to have...
Artificial intelligence is being trained to predict whether someone is likely to develop oral cancer
The diagnosis of oral cancer could be ‘revolutionised’ by using artificial intelligence to predict whether someone is likely to develop the disease, experts have said. Experts led from the Universities of Sheffield and Warwick have teamed up to investigate how machine learning could be applied to aid doctors in early detection. Diagnoses of oral cancers...
Artificial intelligence is being trained to predict whether someone is likely to develop oral cancer
The diagnosis of oral cancer could be ‘revolutionised’ by using artificial intelligence to predict whether someone is likely to develop the disease, experts have said. Experts led from the Universities of Sheffield and Warwick have teamed up to investigate how machine learning could be applied to aid doctors in early detection. Diagnoses of oral cancers...
AI methods of analyzing social networks find new cell types in tissue
UPPSALA UNIVERSITY IMAGE: MESSENGER RNA IN A SMALL PART OF THE HIPPOCAMPUS FROM A MOUSE BRAIN. THE COLOURS REPRESENT DIFFERENT “SOCIAL NETWORKS “. In situ sequencing enables gene activity inside body tissues to be depicted in microscope images. To facilitate interpretation of the vast quantities of information generated, Uppsala University researchers have now developed an entirely new...