This is amazing, it will save many lives!
A 14-year-old Pennsylvania girl has come up with an innovative way to get rid of blind spots before she can even legally get behind the wheel.
A Portland teen won second place in a national technology contest, taking home $2,500 that he can use to attend science camp next summer.
Rishab Jain, 14, is a freshman at Westview High School. His winning project, which he calls the Pancreas Detective, is an artificial intelligence tool that can help diagnose pancreatic cancer through gene sequencing. The algorithm helps doctors focus on the organ during examinations, which is often obscured because it moves around the abdominal area as patients breathe and other bodily functions shift other organs as well.
Last year, the same project netted $25,000 from 3M when he attended Stoller Middle School. He used that money to fund his nonprofit, Samyak Science Society, which promotes science, technology, engineering and math education for other children, Time Magazine reported.
Unlike chemotherapy or radiation, which attack cancer directly, CAR-T engineers patients’ immune cells so they can do it themselves. T-cells are removed from the blood and given new genes that produce receptors that let the T-cells recognize and bind to leukemia cells with a specific protein, CD19.
The genetically modified T-cells are then multiplied in the lab and infused back into the patient, where they ideally multiply even further and begin to target and kill cancer cells with CD19.
An Antares rocket from Northrop Grumman has successfully launched the Cygnus cargo spacecraft on its way to the International Space Station. The launch happened at 9:59AM from the Mid Atlantic Regional Spaceport as anticipated. Assuming nothing unusual happens, NASA says the cargo vessel will arrive at the ISS on Monday, November 4, carrying a huge load of supplies and scientific materials.
David Pearce — The Anatomy of Happiness
“While researching epilepsy, neuroscientist Itzhak Fried stumbled on a ‘mirth’ center in the brain — given this, what ought we be doing to combat extreme suffering and promote wellbeing?”
Researchers at Rensselaer Polytechnic Institute have developed a way to 3D print living skin, complete with blood vessels. The advancement, published online today in Tissue Engineering Part A, is a significant step toward creating grafts that are more like the skin our bodies produce naturally.
“Right now, whatever is available as a clinical product is more like a fancy Band-Aid,” said Pankaj Karande, an associate professor of chemical and biological engineering and member of the Center for Biotechnology and Interdisciplinary Studies (CBIS), who led this research at Rensselaer. “It provides some accelerated wound healing, but eventually it just falls off; it never really integrates with the host cells.”
Continue reading “Living skin can now be 3D-printed with blood vessels included” »
https://youtube.com/watch?v=jtNsxqG4AfQ
Oct. 29 is World Stroke Day. Sometimes called a brain attack, stroke is the second leading cause of death worldwide and the fifth leading cause of death in the U.S. Men and women are at risk of a stroke, but women are more likely to have – and die – of a stroke than men. Dr. Kara Sands, a Mayo Clinic neurologist, says stroke kills twice as many women as breast cancer. The good news is that strokes are preventable, treatable and beatable.
Continue reading “Mayo Clinic Minute: What you need to know about stroke” »
Although mobile devices were not designed to run compute-heavy AI models, in recent years AI-powered features like face detection, eye tracking, and voice recognition have all been added to smartphones. Much of the compute for such services is done on the cloud, but ideally these applications would be light enough to run directly on devices without an Internet connection.
In this spirit of “smaller is better,” Shanghai-based developer “Linzai” (GitHub user name @Linzaer) recently shared a new lightweight model that enables real-time face detection for smartphones. The “Ultra-Light-Fast-Generic-Face-Detector-1MB” is designed for general-purpose face detection applications in low-power computing devices and is applicable to both Android and iOS phones as well as PCs (CPU and GPU). The project has garnered a whopping 3.3k Stars and over 600 forks on GitHub.
Facial recognition technology is widely applied in security monitoring, surveillance, human-computer interaction, entertainment, etc. Detecting human faces in digital images is the first step in facial recognition, and an ideal face detection model can be evaluated by how quickly and accurately it performs.
