artificial intelligence tagged posts

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...

Researchers have developed a way to produce holograms almost instantly. The deep learning-based method is so efficient, it could run on a smartphone, they say.

Despite years of hype, virtual reality headsets have yet to topple TV or computer screens as the go-to devices for video viewing. One reason: VR can make users feel sick. Nausea and eyestrain can result because VR creates an illusion of 3D viewing although the user is in fact staring at a fixed-distance 2D display. The solution for better 3D visualization could lie in a 60-year-old technology remade for the digital world: holograms.

Holograms deliver an exceptional representation of 3D world around us. Plus, they’re beautiful. (Go ahead — check out the holographic dove on your Visa card...