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New apps help visually impaired users see the world differently

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Visually impaired iPhone users can now download two new free apps developed to give them more autonomy in their everyday lives.

Created by a team based at the University of Michigan, VizLens is essentially a screen reader that employs a person’s smartphone camera to allow them to understand and operate a variety of interfaces in everyday environments, including home appliances and public kiosks, just by touching buttons on their mobile.

Meanwhile, Image Explorer identifies features in a picture allowing the user to examine it through touch and audio feedback.

Anhong Guo, assistant professor of computer science and engineering at the University of Michigan, led the development of both software applications, which are available to download from the Apple app store. He said: “A blind user can take a picture of an interface, and we use optical character recognition to automatically detect the text labels.

“A user can first familiarise themself with the layout on their smartphone touchscreen. Then, they can move their finger on the physical appliance control panel, and the app will speak out the button under the user’s finger.”

Loss of vision can affect people of all ages. But the majority of those with vision impairment and blindness are over the age of 50. The leading cause of eyesight problems is cataracts and uncorrected refractive errors.

VizLens uses a smartphone’s camera to view control interfaces, such as the one on this microwave, and read each label. Image: Human-AI Lab, University of Michigan

According to the UK-based RNIB (Royal National Institute of Blind People) nearly 80% of those living with sight loss are 65 or older, and around 60% are 75-plus. Of these, well over half of people with sight loss are women.

But the advent of smartphones and specially tailored apps has revolutionised how the visually impaired now interact with the world around them.

For the Image Explorer, Professor Guo and his team integrated a suite of object detection and segmentation models – including Meta’s Detectron2 visual recognition library and Google OCR (optical character recognition) and image analysis models – to enable visually impaired users to explore what’s in the depiction and how the different objects relate to one another.

Professor Guo’s aim has been to offer visually impaired people an accurate way of forming a mental image when alt text is missing or incomplete, as AI-generated captions are often not sufficient.

He explained: “There are a number of automated caption programmes out there that blind people use to understand images, but they often have errors, and it’s impossible for users to debug them because they can’t see the images. Our goal, then, was to stitch together a bunch of AI tools to give users the ability to explore images in more detail with a greater degree of agency.”

When a picture’s uploaded, Image Explorer provides a thorough analysis of the content. It gives a general overview of the image, including the objects detected, relevant tags, and a caption.

The app also features a touch-based interface that allows users to explore the spatial layout and content of the image by pointing to different areas. ​​

Image Explorer correctly auto captions the image as “a couple of women walk down a sidewalk.” Image: Human-AI Lab, University of Michigan

Image Explorer developers say it is unique in the level of detail it provides.

It gives users a comprehensive description of the objects in an image, even down to the level of what type of clothing a person is wearing and what activities they are engaged in, as well as their position within the picture.

Professor Guo said: “Image Explorer helps users understand the content of an image even though they cannot see it.”

Hundreds of visually impaired, user-testing participants have experimented with VizLens and Image Explorer, offering feedback to Professor Guo’s team, which is continuing to develop these tools.

First discussed in 2022, Image Explorer is a much newer concept than VizLens, which made its academic debut in 2016.

Some of its details need further refinement- for instance, most tops are simplified to ‘shirts,’ and different tools within Image Explorer sometimes give conflicting information.

“The accuracy relies on the models we use, and as they improve, Image Explorer will improve,” Professor Guo said. “In spite of these errors, the results we presented in 2022 show that Image Explorer enables users to make more informed judgements of the accuracy of the AI-generated captions.”

Professor Guo is looking forward to the feedback that will come with public deployment. “We will be able to observe how people use these tools and adapt them to their lives,” he said.

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Mole rat gene extends mouse lifespan

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A mole rat gene inserted into mice extended lifespan and improved health, findings that may point to new ways of supporting healthier ageing.

The gene increased production of a large form of hyaluronan, a naturally occurring gel-like substance between cells that helps tissue repair and cell-to-cell communication.

Mice carrying the naked mole rat version of the gene showed an approximately 4.4 per cent increase in median lifespan, alongside multiple markers of healthier ageing.

Naked mole rats have become a focus of ageing research because they combine an exceptional lifespan with unusual resistance to many age-linked diseases, including cancer.

Researchers at the University of Rochester traced part of that resilience to hyaluronan.

The molecule’s effects depend on its size: large forms are often linked to anti-inflammatory and tissue-protective behaviour, while smaller fragments can act as danger signals that increase inflammation.

Vera Gorbunova, professor of biology and medicine at the University of Rochester in the US, said: “Our study provides a proof of principle that unique longevity mechanisms that evolved in long-lived mammalian species can be exported to improve the lifespans of other mammals.”

The engineered mice were better protected against both spontaneous tumours and chemically induced skin cancer.

They also showed reduced inflammation across tissues, a notable finding because persistent low-grade inflammation, sometimes called inflammaging, is widely seen as one of the central drivers of age-related decline.

The research also linked the large form of hyaluronan to age-related gut health. As animals age, the gut barrier can become leakier, allowing inflammatory triggers to pass into the bloodstream.

The engineered mice showed protection against this deterioration.

Follow-up work found abundant high-molecular-mass hyaluronan across multiple species of subterranean mammals, often absent in closely related above-ground species, suggesting it may be part of a broader evolutionary toolkit for surviving long lives under harsh conditions.

The team said gene transfer is not the end goal. Gorbunova said: “It took us 10 years from the discovery of HMW-HA in the naked mole rat to showing that HMW-HA improves health in mice.”

“Our next goal is to transfer this benefit to humans.”

Two practical routes are being pursued: increasing production of the large form of hyaluronan, or slowing its breakdown.

Andrei Seluanov, who co-leads the research, said: “We already have identified molecules that slow down hyaluronan degradation and are testing them in pre-clinical trials.”

One candidate identified through screening is delphinidin, a plant pigment found in various fruits and vegetables.

In tests, it was found to increase levels of the large form of hyaluronan in cells and mouse tissues, reduce migration and invasion in multiple cancer cell lines, and suppress melanoma metastasis in mice.

However, the researchers acknowledged the approach has limits. A later study found that mice expressing the naked mole rat gene showed improvements in several late-life health measures but did not show protection from age-related hearing loss, suggesting some organs may be less reachable by this pathway than others.

The Rochester team said turning these findings into human therapies will likely depend on precision: maintaining the right molecular form of hyaluronan, targeting the right balance of production versus breakdown, and monitoring carefully for trade-offs as different tissues respond in different ways.

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AI can predict Alzheimer’s with almost 93% accuracy, researchers say

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Alzheimer’s AI can predict the disease with nearly 93 per cent accuracy using more than 800 brain scans, researchers say.

The system identified anatomical changes in the brain linked to the onset of the most common form of dementia, a condition that gradually damages memory and thinking.

The findings build on years of research suggesting AI could help spot early Alzheimer’s risk, predict disease and identify patients whose condition has not yet been diagnosed.

Benjamin Nephew, an assistant research professor at the Worcester Polytechnic Institute in Massachusetts, said: “Early diagnosis of Alzheimer’s disease can be difficult because symptoms can be mistaken for normal ageing.

“We found that machine-learning technologies, however, can analyse large amounts of data from scans to identify subtle changes and accurately predict Alzheimer’s disease and related cognitive states.”

The study used MRI scans, a type of detailed brain imaging, from 344 people aged 69 to 84.

The dataset included 281 scans showing normal mental function, 332 with mild cognitive impairment, an early stage of memory and thinking decline, and 202 with Alzheimer’s.

The scans covered 95 of the brain’s nearly 200 distinct regions and used an AI algorithm to predict patients’ health.

Being able to use AI to help diagnose Alzheimer’s earlier could give patients and doctors crucial time to prepare and potentially slow the progression of the disease.

The analysis showed that one of the top predictive factors was brain volume loss, or shrinkage, in the hippocampus, which helps form memories, the amygdala, which processes fear, and the entorhinal cortex, which helps provide a sense of time.

This pattern held across age and sex, with both men and women aged 69 to 76 showing volume loss in the right part of the hippocampus, suggesting it may be an important area for early diagnosis, the researchers noted.

However, the research also found that the way brain regions shrink differs by sex.

In females, volume loss occurred in the brain’s left middle temporal cortex, which is involved in language and visual perception. In males, it was mainly seen in the right entorhinal cortex

The researchers believe this could be linked to changes in sex hormones, including the loss of oestrogen in women and testosterone in men.

These conclusions could help improve methods of diagnosis and treatment going forward, Nephew said.

More than 7.2m Americans are living with Alzheimer’s, according to the Alzheimer’s Association.

More research is being done to reveal other impacting factors.

Nephew said: “The critical challenge in this research is to build a generalisable machine-learning model that captures the difference between healthy brains and brains from people with mild cognitive impairment or Alzheimer’s disease.”

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Vision implant firm raises US$230m

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A vision implant firm has raised US$230m as it seeks approval in Europe and the US for a device that restored sight in a small clinical trial.

The Alameda, California-based startup said the funding would support commercialisation of its Prima device.

It said an upcoming launch is planned in Europe and that it would become the first brain computer interface company to have a vision restoration device on the market.

A clinical trial in Europe found the small implant could work as artificial photoreceptors in the retina to restore functional central vision.

The implant is placed under the retina to replace the function of light-sensitive cells lost to disease. A special pair of glasses with an embedded camera and infrared projector sends light signals to the implant.

The study assessed the system in people with advanced dry age-related macular degeneration.

Of the 38 patients who received an implant, 32 were assessed at 12 months. Results showed the device led to a clinically meaningful improvement in visual acuity in 26 people.

The patients were able to read letters, numbers and words, according to the company.

Science Corporation said it has submitted a CE mark application to the European Union and applied to the US Food and Drug Administration for regulatory approval.

Darius Shahida, chief strategy officer, said: “Our imperative is to become the first BCI company to scale and achieve profitability.”

Founded in 2021, the company has now raised about US$490m in total. It said it is expanding its clinical trial programme to include other retinal diseases, such as Stargardt disease and retinitis pigmentosa.

The Series C round included existing investors Khosla Ventures, Lightspeed Venture Partners, Y Combinator, IQT and Quiet Capital.

Science Corporation said demand for the round exceeded its capital needs, with funds also earmarked for expanding research, manufacturing infrastructure and operations.

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