artificial intelligence tagged posts

An artificial intelligence (AI)-based technology rapidly diagnoses rare disorders in critically ill children with high accuracy, according to a report by scientists from University of Utah Health and Fabric Genomics, collaborators on a study led by Rady Children’s Hospital in San Diego. The benchmark finding, published in Genomic Medicine, foreshadows the next phase of medicine, where technology helps clinicians quickly determine the root cause of disease so they can give patients the right treatment sooner.

“This study is an exciting milestone demonstrating how rapid insights from AI-powered decision support technologies have the potential to significant...

The EVONANO platform allows scientists to grow virtual tumors and use artificial intelligence to automatically optimize the design of nanoparticles to treat them.

The ability to grow and treat virtual tumors is an important step towards developing new therapies for cancer. Importantly, scientists can use virtual tumors to optimize design of nanoparticle-based drugs before they are tested in the laboratory or patients.

The paper, “Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment,” is published today in the Nature journal Computational Materials. The paper is the result of the European project EVONANO which involves Dr...

Machine learning helps some of the best microscopes to see better, work faster, and process more data. Collaboration between deep learning experts and microscopy experts leads to an significantly improved data-intensive light-field microscopy method by using AI and ground-truthing it with light-sheet microscopy. The result is the power of light-field microscopy available to biologists in near real time vs. days or weeks, AND the expansion of biologists’ ability to use this microscopy for many things more things requiring the most detailed observation.

To observe the swift neuronal signals in a fish brain, scientists have started to use a technique calle...

Better detection of the disease may lead to earlier treatment, opportunity to participate in clinical trials. Warning signs for Alzheimer’s disease (AD) can begin in the brain years before the first symptoms appear. Spotting these clues may allow for lifestyle changes that could possibly delay the disease’s destruction of the brain.

“Improving the diagnostic accuracy of Alzheimer’s disease is an important clinical goal. If we are able to increase the diagnostic accuracy of the models in ways that can leverage existing data such as MRI scans, then that can be hugely beneficial,” explained corresponding author Vijaya B. Kolachalama, PhD, assistant professor of medicine at Boston University School of Medicine (BUSM).

Using an advanced AI (artificial intelligence) framework based on...