Lifeboat Foundation

In a recent study published in Science Advances, researchers from the California Institute of Technology, led by Dr. Wei Gao, have developed a machine learning (ML)–powered 3D-printed epifluidic electronic skin for multimodal health surveillance. This wearable platform enables real-time physical and chemical monitoring of health status.

Wearable health devices have the potential to revolutionize the medical world, offering real-time tracking, personalized treatments, and early diagnosis of diseases.

However, one of the main challenges with these devices is that they don’t track data at the molecular level, and their fabrication is challenging. Dr. Gao explained why this served as a motivation for their team.

Aside from faster results, edge computing has the added benefit of increased privacy: If your health information never leaves your wearable, you don’t have to worry about someone else intercepting it — or interfering with it — en route.

So why do we run these apps in the cloud, instead of locally? The problem is that wireless devices have limited processing power and battery — to run a more advanced and energy-intensive AI program, you may have to turn to huge servers in the cloud.

A Stanford-led team has now unveiled NeuRRAM, a new microchip that could let us run advanced AI programs directly on our devices.

Dr. Cody Visits Kernel Neuroscience Headquarters and tries on the Kernel Flow.

►►► INSTAGRAM (Behind The Scenes with Cody Rall MD):
https://www.instagram.com/codyrall_techforpsych/

Continue reading “Putting On The Most Advanced Brain Scan Helmet Known to Man (Kernel Neuroscience fNIRS Helmet)” »

Researchers have proposed employing wireless neural implants to execute communication between the human brain and computers.

Purdue University researchers have unveiled a new method that may enable a compact brain-implanted sensor to sense and transmit data to a wearable device shaped like headphones.

Engineers and chemists at Lawrence Livermore National Laboratory (LLNL) and Meta have developed a new kind of 3D-printed material capable of replicating characteristics of biological tissue, an advancement that could impact the future of “augmented humanity.”

In a paper recently published in the journal Matter, LLNL and Meta researchers describe a framework for creating a “one-pot” 3D-printable resin in which light is used to pattern smooth gradients in stiffness to approximate gradients found in biology, such as where bone meets muscle.

The framework addresses a key challenge in developing more lifelike wearables: “mechanical mismatch.” Whereas natural tissues are soft, electronic devices are usually made of rigid materials and it can be difficult and time-consuming to assemble such devices using traditional means.

Continue reading “LLNL and Meta engineers develop 3D-printed material with potential for more lifelike wearables” »

With the rapid growth of the smart and wearable electronic devices market, smart next-generation energy storage systems that have energy storage functions as well as additional color-changing properties are receiving a great deal of attention. However, existing electrochromic devices have low electrical conductivity, leading to low efficiency in electron and ion mobility, and low storage capacities. Such batteries have therefore been limited to use in flexible and wearable devices.

On August 21, a joint research team led by Professor Il-Doo Kim from the KAIST Department of Materials Science and Engineering (DMSE) and Professor Tae Gwang Yun from the Myongji University Department of Materials Science and Engineering announced the development of a smart electrochromic Zn-ion battery that can visually represent its charging and discharging processes using an electrochromic polymer anode incorporated with a “π-bridge spacer,” which increases electron and ion mobility efficiency.

Their research was published as an inside cover article for Advanced Materials on August 3 under the title, “A π-Bridge Spacer Embedded Electron Donor-Acceptor Polymer for Flexible Electrochromic Zn-Ion Batteries.”

Microsoft will drop support for the Cortana app in Windows before the end of this year, but it may be working on a new digital assistant for wearables. The company has filed a patent application for an AI-powered smart backpack.

The proposed backpack would have a camera, microphone and other sensors to collect visual and audio data from the surroundings. It could then use this contextual data to complete voice commands given by the user.

According to the patent filing, the backpack could provide navigation assistance, add calendar events, compare prices while shopping, and more. It would access the user’s data to help provide relevant information.

Researchers from the University of Cambridge have unveiled a surprising discovery that holds the potential to reshape the landscape of electrochemical devices. This new insight opens the door for the creation of cutting-edge materials and paves the way for enhancements in sectors like energy storage, neuromorphic computing, and bioelectronics.

Electrochemical devices rely on the movement of charged particles, both ions, and electrons, to function properly. However, understanding how these charged particles move together has presented a significant challenge, hindering progress in creating new materials for these devices.

In the rapidly evolving field of bioelectronics, soft conductive materials known as conjugated polymers are used for developing medical devices that can be used outside of traditional clinical settings. For example, this type of material can be used to make wearable sensors that monitor patients’ health remotely or implantable devices that actively treat disease.

The team used acupuncture needles to deliver the trigger for 10 seconds a day, and the blood sugar levels in the mice returned to normal within a month. The rodents even regained the ability to manage blood sugar levels after a large meal without the need for external insulin, a normally difficult feat.

Called “electrogenetics,” these interfaces are still in their infancy. But the team is especially excited for their potential in wearables to directly guide therapeutics for metabolic and potentially other disorders. Because the setup requires very little power, three AA batteries could trigger a daily insulin shot for more than five years, they said.

The study is the latest to connect the body’s analogue controls—gene expression—with digital and programmable software such as smartphone apps. The system is “a leap forward, representing the missing link that will enable wearables to control genes in the not-so-distant future,” said the team.