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Wristband sensor provides all-in-one monitoring for diabetes and cardiovascular care

A new wearable wristband could significantly improve diabetes management by continuously tracking not only glucose but also other chemical and cardiovascular signals that influence disease progression and overall health. The technology was published in Nature Biomedical Engineering.

The flexible wristband consists of a microneedle array that painlessly samples interstitial fluid under the skin to measure glucose, lactate and alcohol in real time using three different enzymes embedded within the tiny needles. Designed for easy replacement, the microneedle array can be swapped out to tailor wear periods. This reduces the risk of allergic reactions or infection while supporting longer-term use.

Simultaneously, the wristband uses an ultrasonic sensor array to measure and arterial stiffness, while ECG sensors measure heart rate directly from wrist pulses. These physiological signals are key indicators of cardiovascular risk, which is often elevated in people with diabetes but is rarely monitored continuously outside of a clinical setting.

Industrial Electronics

Growth in 2.5D and 3D packaging solutions has accelerated off-the-board technology and the components which leverage it, both in terms of the fastest digital processors but also in proprietary ASICs and application processors. As high-bandwidth digital channels approach the practical limits of copper interconnects, silicon photonics and on-PCB/in-package optical interconnects may emerge as the next transformative wave of off-the-board technology.

This opinion is shared by insiders within the PCB and packaging side of the industry.

“Off the board technology is growing at an amazing rate, and isn’t being replaced by optical solutions, it’s enabling more optical solutions,” said Joe Dickson, senior VP chip-to-chip reliability and innovation at WUS PCB International. “They are not competition, they are tools to go much farther than we can today.”

“These Students Just Built the Future”: Stanford Team Unleashes Mini AI Robot Dog Created From Scratch, Stuns Experts With Breakthrough DIY Engineering

IN A NUTSHELL 🤖 Stanford University‘s course teaches students to build AI-powered robot dogs, blending education with technology. 🔧 Students learn hands-on robotics skills, from motor control to AI programming, using the “Pupper” quadruped kit. 🧠 The course shifts focus to AI, with students training neural networks to enhance Pupper‘s capabilities. 🌟 The program aims

Zombie fabs plague China’s chipmaking ambitions, failures burning tens of billions of dollars

Many Chinese semiconductor fab projects failed due to a lack of technical expertise amid overambitious goals: some startups aimed at advanced nodes like 14nm and 7nm without having experienced R&D teams or access to necessary wafer fab equipment. These efforts were often heavily reliant on provincial government funding, with little oversight or industry knowledge, which lead to collapse when finances dried up or scandals emerged. Some fab ventures were plagued by fraud or mismanagement, with executives vanishing or being arrested, sometimes with local officials involved.

To add to problems, U.S. export restrictions since 2019 blocked access of Chinese entities to critical chipmaking equipment required to make chips at 10nm-class nodes and below, effectively halting progress on advanced fabs. In addition, worsening U.S.-China tensions and global market shifts further undercut the viability of many of these projects.

So, let’s go over some of China’s most ambitious fab projects, many of which have fallen into oblivion, or have become a dreaded zombie fab.

DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease

Differences in the Pace of Aging are important for many health outcomes but difficult to measure. Here the authors describe the Dunedin Pace of Aging Calculated from NeuroImaging measure, an approach that uses a single brain image to measure how fast a person is aging and can help predict mortality or the risk of developing chronic disease.

AI-assisted technique can measure and track aging cells

A combination of high-resolution imaging and machine learning, also known as artificial intelligence (AI), can track cells damaged from injury, aging, or disease, and that no longer grow and reproduce normally, a new study shows.

These senescent cells are known to play a key role in wound repair and aging-related diseases, such as cancer and heart disease, so tracking their progress, researchers say, could lead to a better understanding of how tissues gradually lose their ability to regenerate over time or how they fuel disease. The tool could also provide insight into therapies for reversing the damage.

The study included training a computer system to help analyze animal cells damaged by increasing concentrations of chemicals over time to replicate human aging. Cells continuously confronted with environmental or biological stress are known to senesce, meaning they stop reproducing and start to release telltale molecules indicating that they have suffered injury.