Hey, grownups: Turn off the TV

Kids are often cautioned against watching too much TV, but maybe older adults should be too.

A recent study in Alzheimer’s and Dementia: Journal of the Alzheimer’s Association finds that people who reported watching TV “very often” in midlife later exhibited reduced volume in some areas of the brain. They also showed damage in the brain’s white matter associated with aging, stroke risk, cognitive decline and dementia.

“For years we’ve focused on how much people sit. Our findings suggest we should also pay attention to what they’re doing while they’re sitting,” says David Raichlen, professor of biological sciences and anthropology at the USC Dornsife College of Letters, Arts and Sciences and a senior author of the study.

The study also looked at other sedentary activities, but they didn’t have the same associations.

So it seems sitting isn’t the problem, but what you do while sitting.

More like this: Spotting early signs of Alzheimer’s

The problem with AI and drug
discovery

AI has long been touted as the future of drug discovery. Just plug in the AI and pump out the miracle cures. Simple, right?

Not exactly and not just yet, according to researchers led by Khalifa University’s Andreas Bender.

The team took a step back to evaluate the real-world factors that complicate the process of AI-assisted drug discovery.

In their paper published in Nature Reviews Drug Discovery, Bender and his colleagues argue that AI in drug discovery needs to address some challenges better, including:

  • Researchers need to consider better how the AI will eventually be used in clinical settings when they are developing it.
  • AI needs biological and medical data that is predictive for the question the model aims to answer.
  • Researchers need to clearly define the problem the AI is supposed to solve, which then can lead to models that are properly equipped to address real-world situations.

“When I worked at AstraZeneca, people always talked about the right drug, in the right patient, dosed in the right way,” Bender tells KUSTReview.com. “We can, and need to, translate this thinking also to computational models and AI in drug discovery – which then means the right data, in the right model, validated and used in the right way.”

More like this: AI viruses join the fight against bacteria

SPEAKING WITHOUT WORDS

Billy is a non-verbal 3-year-old with autism spectrum disorder (ASD). When Mom and Dad try to brush his teeth, he bites them. When they try to get him dressed, he kicks and punches. Billy is obviously unhappy, but what is he trying to say?

This scenario is all too familiar for many families learning to communicate with non-verbal members, but there is help: researchers like Ralf Schlosser.

Schlosser, assistant dean of research in the School of Clinical and Rehabilitation Sciences at Northeastern University, has spent his career researching augmentative and alternative communication (AAC) for those with severe speech, language and literacy difficulties. He specializes in helping children on the autism spectrum.

He believes families play an imperative role in developing communications technology.

“Sometimes families may have an advantage over clinicians or teachers in that they are likely very familiar with their child’s idiosyncratic communicative behaviors such as gestures or vocalizations and have the ability to ‘read’ these and respond appropriately.

As a result, it may sometimes feel unnecessary to use an AAC system,” he says.

IMAGE: Shutterstock

But families aren’t always together, and their methods may not work outside the home. These coping methods might, in fact, even hinder the child’s ability to communicate beyond the family circle. This is where technology can help.

Family involvement

Oliver Wendt of Purdue University emphasizes that family and user feedback are critical in AAC development. “You can no longer develop AAC technology without it,” he says.

AAC development involves co-design with direct input from users and stakeholders, usability input from families and therapists and assessments of tech used during interventions. Comments about an app’s usability, like “the interface needs to be simpler” or “it was a lot to navigate,” are crucial. “You need this type of feedback to fine-tune the app and ensure uptake within the community,” Wendt says.

From a design perspective, technology for verbally challenged individuals isn’t a one-size-fits-all solution because each person’s challenges are different.

“Technology opens the doors to interact with other individuals. Use of speech output along with interaction efficiencies is going a long way to make communication possible in schools, at work and in the community,” Schlosser tells KUST Review.


“You can no longer develop AAC technology without it (family involvement).”

– Oliver Wendt and team, 2022 paper


Another vital tool, Schlosser says: the “written gloss.” In a symbol-based AAC app or device, there are graphic symbols like an image representing the concept “drink” or “hungry” next to a corresponding word or phrase. This helps clarify the symbol’s meaning, aids in language learning and helps communication partners understand the user’s message.

He says speech-generating devices and tablets with AAC-specific apps allow individuals to talk using speech, digitized and/or synthetic. Tech also offers efficiency in word retrieval, whether singular or combined into a sentence.

One such tool is GoTalkNow.

GoTalkNow is a comprehensive, iPad-compatible AAC app based on the Project CORE research from the University of North Carolina’s Center for Literacy and Disability Studies. It includes core vocabulary — a collection of most of the words that make up typical daily communication that the user can customize by creating and adding pages. For those with literacy challenges, the app also includes symbols, the option to use images from the users’ cameras and a built-in internet-image search.

“Record video modeling sequences to pair instruction with communication. Play music to heighten interest. Choose text-to-speech or recorded audio for message content. Jump to any communication page, even from a different communication book. Add auditory cues to allow both auditory and visual scanning. Select automatic or step scanning, adjust scanning speed, and group buttons together by row or column for more efficient scanning,” the website advertises.

Skills required

Schlosser says many AAC tools require additional skill sets.

Users must depend on traditional writing and spelling or understand the graphic symbols used to represent concepts. They also need to understand the tool’s functionality and learn to use the program during interactions.

Schlosser says there are obstacles for end users. These include the facts that applications don’t always meet all of an individual’s communication needs and vocabulary selection can further overburden already busy support professionals. “Vocabulary selection in AAC for AAC applications and speech-generating devices is generally a time-consuming process, and school-based speech-language pathologists have little time given their caseloads,” Schlosser says.

But it appears that AI and machine learning can help alleviate some of these issues.


“By embracing AI-technologies such as QuickPic AAC, SLPs can leverage its capabilities to alleviate the time demands on creation of personalized materials.”

– Study by Ralf Schlosser and team, International Journal of Environmental Research and Public Health (MDPI)


A recent paper by Schlosser, Mauricio de Fontana and Christina Yu, the developers of the QuickPic AAC app that uses AI image analysis to lay out vocabulary, explores two algorithms (ChatGPT-3.5 and NLP-AAC) and found that ChatGPT-3.5 provided more relevant and accurate vocabulary.

The app analyzes an image of an activity and produces relevant words represented by picture communication symbols and organizes them in left to right categories in this order: subject, verb, attribute, object.

“This allows creating the displays on the fly or just in time, a process that was previously unimaginable. Just-in-time supports have various cognitive advantages for the learner and allow instructors to capitalize on teachable moments. Within minutes, the clinician can then customize the display as needed,” Schlosser says.

A future for wearables

Schlosser’s research has recently crossed 10,000 citations (uncommon within his field). It reflects long-term influence across research, and he is excited about what AI will bring to the table in the future. The research has only scratched the surface of its impact on AAC.

He sees many opportunities for wearable technologies and has done some small studies in this area, including tools like smart watches.

Researchers were concerned the watches’ small size might be an issue, but the individuals in the study all responded well, he says.

Another study included remote visual interventions like photos, video or text, in real-time, to assist a learner.

Schlosser also says measuring physiological responses like heart rates could also help manage anxiety and support communication.

Wendt cautions that smart watches are still too expensive for many users, but he is enthusiastic about other wearables. People on the autism spectrum with verbal challenges also frequently experience sensory impairments, so the possibilities are endless as the wearables field moves away from watches and toward tech that could be directly woven into clothing, he says.

Help from AI

And as with most industries around the globe, AI will further individual targeted tech design for AAC.

“Diagnostics and prognosis will be more effective through AI. AI can compare the communication profile of a user with data from a plethora of other users with similar conditions. This will help to determine how severely someone is involved and what the prognosis/outlook is,” Wendt says.

“Future AAC applications may be able to predict what vocabulary is needed by a user and then create that content right on the spot.”

Innovations in AR and VR in tandem with AI will only further tech development in this space, as devices become smaller and more user-friendly, they become more cost-effective. “This will allow users to learn and interact in completely new environments that allow new opportunities to learn and grow,” he tells KUST Review.

KU Autism study

With the increasing diagnoses of autism spectrum disorder around the world comes a desperation to understand its origins. While experts believe causation is multi-faceted, researchers at Khalifa University led by Hamdan Hamdan and collaborators including Fakih-IVF Fertility Center and Baylor College of Medicine are studying the condition’s genetic components.

The team has identified seven novel mutations in autistic children within the UAE population using next-generation sequencing.

“The investigation aims to uncover the roles of these novel genes as well as the complex mechanistic pathways involved in ASD using advanced techniques, such as CRISPR-Cas9 gene editing and BioID,” Hamdan says.

The CRISPR-Cas9 gene editing and BioID protein mapping individually have their challenges, but in combination could help identify how mutations contribute to autism and brain development.

The team hopes that identifying mutations specific to the Emirati population may contribute to personalized, targeted therapies and offer important findings for global ASD research highlighting the importance of population-specific studies in understanding the full spectrum of genetic variations associated with autism.

More like this: Autism checks

RIDDLE OF THE TEXT

Humanity gave itself a good pat on the back when the Rosetta Stone unlocked the secrets of  Ancient Egyptian.  But there are still other linguistic mysteries left to solve.  Here are four: 


RONGORONGO


The people who carved the giant stone heads of Easter Island also left wood tablets likely created before the arrival of Europeans. These tablets might help explain the structures’ purpose. Unfortunately, few rongorongo tablets survived, and after a sharp population decline of the Rapa Nui people by the 19th century caused by European diseases and raids, no one alive could read the script. The biggest questions other than the content itself: Is rongorongo proto-writing or a complete writing system? And are the texts evidence of an independent invention of writing like that of the Chinese or the Sumerians?


 VOYNICH MANUSCRIPT 


The handwritten manuscript, containing fantastical images and diagrams, was first documented as the possession of a 17th century Prague alchemist. It was later named after book dealer Wilfrid Voynich, who purchased it in 1912.

The 250 vellum pages, however, have been carbon dated to the 15th century. Experts hypothesize that the document could be a code, a script for a natural language, a piece of fiction or even a hoax. British and American codebreakers from World Wars I and II had no luck, but Yale University, the current custodian, invites the public to have a crack.

CAPTION: A page from the Voynich Manuscript.
CAPTION: This copper vessel is from the Harappa culture.

 INDUS VALLEY SCRIPT 


Also called Harappan, the script belonged to a civilization that spread from 3300 BCE to 1300 BCE across what is now Pakistan, northwestern India and northeast Afghanistan. About 5,000 inscribed objects such as stamp seals, pottery, bronze and copper plates, tools and weapons have been excavated since 1924.

Most inscriptions are short, and there are no known bilingual inscriptions to help modern linguists solve the puzzle. The incentive to solve it is good, though: An Indian official in 2025 announced a U.S. $1 million prize for decoding the script.


 KRYPTOS 


On the grounds of CIA headquarters in Langley, Virginia, is a sculpture by artist Jim Sanborn that contains encrypted messages. The first three have been broken since the piece was installed in 1990, but the fourth remains unsolved.

A fifth message is expected to reveal itself when the other four have been broken. The sculpture is made from four large copper plates as well as water, wood, plants, red and green granite, white quartz and petrified wood. A prominent feature of the piece is a large vertical S-shaped copper screen that looks like a scroll or paper emerging from a printer.

CAPTION: “Kryptos” at CIA headquarters.