A new way to map the spread and evolution of pathogens, and their responses to vaccines and antibiotics, will provide key insights to help predict and prevent future outbreaks. The...
A new artificial intelligence (AI) tool that can help to select the most suitable treatment for cancer patients has been developed by researchers at The Australian National University (ANU).
DeepPT, developed...
Osteoporosis is so difficult to detect in early stage it’s called the "silent disease." What if artificial intelligence could help predict a patient’s chances of having the bone-loss disease before...
Artificial intelligence (AI) models often play a role in medical diagnoses, especially when it comes to analyzing images such as X-rays. However, studies have found that these models don’t always...
A study comparing jokes by people versus those told by ChatGPT shows that humans need to work on their material.
The research team behind the study published on Wednesday, July 3...
If there is one medical exam that everyone in the world has taken, it's a chest x-ray. Clinicians can use radiographs to tell if someone has tuberculosis, lung cancer, or...
Proteins have evolved to excel at everything from contracting muscles to digesting food to recognizing viruses. To engineer better proteins, including antibodies, scientists often iteratively mutate the amino acids -...
Researchers have developed a groundbreaking method for analysing heart MRI scans with the help of artificial intelligence (AI), which could save valuable NHS time and resources, as well as improve...
Scientists from Weill Cornell Medicine and the Dana-Farber Cancer Institute in Boston have developed and tested new artificial intelligence (AI) tools tailored to digital pathology - a rapidly growing field...
Children and young people are generally positive about artificial intelligence (AI) and think it should be used in modern healthcare, finds the first-of-its-kind survey led by UCL and Great Ormond...
Future Internet CHallenge eHealth (FICHe) project has challenged European startups to develop innovative applications in the eHealth market building upon the FIWARE technology. Open call for startups was opened in September 2014, and 80 out of 300+ applicants were selected to enter FICHe. Through three phases and altogether 6.24 MEUR funding, the startups were able to develop their ideas into successful new eHealth solutions. In the Health 2.0 event, which is also the closing event of FICHe, the best 20 FICHe startups showcase their unique solutions to the eHealth audience.