Artificial intelligence (AI) will fundamentally change medicine and healthcare: Diagnostic patient data, e.g. from ECG, EEG or X-ray images, can be analyzed with the help of machine learning, so that diseases can be detected at a very early stage based on subtle changes. However, implanting AI within the human body is still a major technical challenge.

A novel artificial intelligence blood testing technology developed by researchers at the Johns Hopkins Kimmel Cancer Center was found to detect over 90% of lung cancers in samples from nearly 800 individuals with and without cancer.

The test approach, called DELFI (DNA evaluation of fragments for early interception), spots unique patterns in the fragmentation of DNA shed from cancer cells circulating in the bloodstream.

A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a study published in Radiology: Artificial Intelligence.

Brain-computer interfaces (BCIs) are emerging assistive devices that may one day help people with brain or spinal injuries to move or communicate. BCI systems depend on implantable sensors that record electrical signals in the brain and use those signals to drive external devices like computers or robotic prosthetics.

A new study shows that artificial intelligence networks based on human brain connectivity can perform cognitive tasks efficiently.

By examining MRI data from a large Open Science repository, researchers reconstructed a brain connectivity pattern, and applied it to an artificial neural network (ANN). An ANN is a computing system consisting of multiple input and output units, much like the biological brain.

Researchers have created a new open-access database of information on drug candidates and how they are metabolised by the body, which could help speed up the repurposing of old drugs as new treatments.

There is an urgent need for more effective treatments for many conditions, including COVID-19, cancer and malaria. But the process of developing new drugs is costly, can take decades, and often leads to failed treatments.

Back problems are among the most common causes of sick leave. Every year as many as one in 15 adults in Norway sees a doctor or physiotherapist due to lower back pain. Worldwide, back pain is the most common cause of disability.

Many people are afraid to be physically active when they experience back pain, but reducing the activity level often prolongs or even aggravates the condition.