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A “Papa Pal” visits a client. (Handout)


Friendly companion app

An app pairs college students with senior citizens

Older Americans who don’t need in-home care or assisted living may still need help with everyday needs such as transportation, shopping, and technology. Many just need companionship. A Miami-based startup called Papa is aiming to fill this gap by providing a service that connects senior citizens with college students, an approach it calls “grandkids-on-demand.”

“People don’t always want to say they want companionship, even though their families say they do,” Papa founder Andrew Parker told TechCrunch. “But when a visit ends up being six hours, that’s evident what it’s for.”

Parker started the company after trying to help his struggling grandmother care for his grandfather, who had Alzheimer’s. Traditional home care didn’t seem to fit his grandfather’s needs, so he looked for an alternative. Hiring a college student to help his grandfather was such a success that he built an app to extend the concept to others. He named the service “Papa” after his grandfather’s nickname.

The basic service is $20 per hour. If seniors pay an additional $30 monthly service fee, they can request a particular student, called a “Papa Pal.” All Papa Pal candidates must pass a background check and motor vehicle records check. The company also administers a personality test to ensure all Papa Pals are outgoing, empathetic, and patient.

Parker trains the students to help their clients increase their social interaction through what he calls “instructive companionship.”

“It’s like, teach your senior how to use social media today, get them their first 10 friends, or have them FaceTime with family members,” Parker told Fast Company.

The startup plans to expand from Florida to at least five other states next year. Medicare will introduce its expanded Medicare Advantage program in 2019 that will cover many of the services Papa offers, such as transportation to medical appointments.

Herding birds

Birds are an aviation hazard. A collision with a flock of birds can damage jet engines, potentially causing an aircraft to crash. The potential for a bird strike is greatest at airports, which offer large, open tracts of land that may tempt birds as a suitable roosting habitat.

Now, engineers at the California Institute of Technology have developed a software algorithm that can enable an ordinary commercial drone to herd a flock of birds away from the crowded airspace of an airport. The researchers formulated a mathematical model of how birds maintain formations and respond to threats along the edge of the flock.

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Courtesy of FAIR and NYU School of Medicine

Dr. Daniel Sodickson (right) and other NYU School of Medicine researchers examine an MRI. (Courtesy of FAIR and NYU School of Medicine)


A smarter scanner

Researchers believe artificial intelligence can improve MRI speeds

Magnetic resonance imaging, the gold standard of modern diagnostic imaging, provides doctors with greater detail than other imaging techniques, such as X-ray or CT scans. But MRI scans take a long time—anywhere from 15 minutes to an hour or more. All the while, the patient must lie still inside a claustrophobia-inducing metal tube.

That scenario could change. Facebook’s Artificial Intelligence Research (FAIR) group and the New York University School of Medicine recently announced a collaborative research project that will use machine-learning techniques to make MRI scans up to 10 times faster.

“Using AI, we believe it may be possible to capture less data and therefore image faster, while still preserving or even enhancing the rich information content of MR images,” Dr. Daniel Sodickson, vice chair for research in radiology at NYU School of Medicine, told Forbes.

Facebook researchers will train their “fastMRI” model using an NYU-provided data set of 3 million images of the knee, brain, and liver. The challenge, according to a Facebook blog, is to get the artificial intelligence network to “recognize the underlying structure of the images in order to fill in views omitted from the accelerated scan” and to bridge those gaps without sacrificing accuracy. Missing a few key pixels could mean the difference between a clear scan and one showing an anomaly such as a torn ligament or a tumor.

If the project is successful, the researchers believe the benefits of faster MRIs would extend beyond a more comfortable patient experience.

“You also get increased accessibility in areas with MRI shortages and you can get improved image quality when you’re trying to image things that move fast, like the heart,” Sodickson told Forbes. “If we can get it fast enough to replace X-rays or CT [scans] then we can also reduce radiation exposure for the population while still getting the critical medical information.”

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Jeff Chiu/AP

An autistic child interacts with his mother at the Wall Lab in Stanford, Calif. (Jeff Chiu/AP)


Help on the spectrum

Could the Google Glass device benefit kids with autism?

Children with autism seemingly improved their social skills after using a wearable device that helped them recognize emotions in people’s facial expressions, according to new research.

In a pilot study in NPJ Digital Medicine in August, a team at the Stanford University School of Medicine developed a smartphone app and paired it with Google Glass to provide real-time cues to kids about facial expressions. The device, worn like a pair of glasses, has a camera that records the wearer’s field of view, as well as a small audio speaker. As the child interacts with other people, the camera captures those people’s facial expressions and the app identifies and names their emotions through the Google Glass speaker.

The study authors based the therapy on a well-studied autism treatment called applied behavior analysis, in which a trained practitioner teaches emotion recognition using flash card exercises.

“We have too few autism practitioners,” study senior author Dennis Wall, associate professor of pediatrics and biomedical data science, told Stanford Medicine News. “The only way to break through the problem is to create reliable, home-based treatment systems. It’s a really important unmet need.”

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