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Category: biotech/medical – Page 28

Progress and Perspectives in 2D Piezoelectric Materials for Piezotronics and Piezo‐Phototronics

The emergence of two-dimensional (2D) materials has catalyzed significant advancements in the fields of piezotronics and piezo-phototronics, owing to their exceptional mechanical, electronic, and optical properties. This review provides a comprehensive examination of key 2D piezoelectric and piezo-phototronic materials, including transition metal dichalcogenides, hexagonal boron nitride (h-BN), and phosphorene, with an emphasis on their unique advantages and recent research progress. The underlying principles of piezotronics and piezo-phototronics in 2D materials is discussed, focusing on the fundamental mechanisms which enable these phenomena. Additionally, it is analyzed factors affecting piezoelectric and piezo-photoelectric properties, with a particular focus on the intrinsic piezoelectricity of 2D materials and the enhancement of out-of-plane polarization through various modulation techniques and materials engineering approaches. The potential applications of these materials are explored from piezoelectric nanogenerators to piezo-phototronic devices and healthcare. This review addresses future challenges and opportunities, highlighting the transformative impact of 2D materials on the development of next-generation electronic, optoelectronic, and biomedical devices.

This review examines advancements in 2D materials, focusing on their applications in piezotronics and piezo-phototronics. It discusses key materials like TMDs, h-BN, and phosphorene, highlighting their unique mechanical, electronic, and optical properties. The review delves into the mechanisms of piezoelectricity, explores applications such as nanogenerators and biomedical devices, and describes the future and challenges in 3D integration of 2D materials.

Novel protein therapy shows promise as first-ever antidote for carbon monoxide poisoning

University of Maryland School of Medicine (UMSOM) researchers, along with their colleagues, engineered a new molecule that appears promising as an effective antidote for carbon monoxide poisoning with fewer side effects than other molecules currently being tested, according to a new study published in the journal PNAS.

Carbon monoxide poisoning accounts for 50,000 in the U.S. each year and causes about 1,500 deaths. These deaths may occur when released from combustion builds up in an enclosed space, which can result from ventilation failures in indoor natural gas burning equipment, or running gasoline generators or automobiles indoors or in a closed garage. Carbon monoxide poisoning is also associated with most fires from smoke inhalation.

Currently, the only treatments for carbon monoxide poisoning are oxygen-based therapies, which help the body eliminate the toxic gas. However, even with treatment, nearly half of survivors suffer long-term heart and brain damage. This has created an urgent need for faster, more effective therapies.

Routine AI assistance may lead to loss of skills in health professionals who perform colonoscopies

The introduction of artificial intelligence (AI) to assist colonoscopies is linked to a reduction in the ability of endoscopists (health professionals who perform colonoscopies) to detect precancerous growths (adenomas) in the colon without AI assistance, according to a paper published in The Lancet Gastroenterology & Hepatology.

Colonoscopy enables detection and removal of adenomas, leading to prevention of bowel cancer. Numerous trials have shown the use of AI to assist colonoscopies increases the detection of adenomas, generating much enthusiasm for the technology. However, there is a lack of research into how continuous use of AI affects endoscopist skills, with suggestions it could be either positive, by training clinicians, or negative, leading to a reduction in skills.

Author Dr. Marcin Romańczyk, Academy of Silesia (Poland), says, To our knowledge, this is the first study to suggest a negative impact of regular AI use on health care professionals’ ability to complete a patient-relevant task in medicine of any kind.

Analysis reveals H5N1 mutations linked to human adaptive potential

In recent years, there has been growing concern over the H5N1 influenza virus. It was first identified in birds three decades ago and has now gradually found its way to humans. H5N1 is a strain of the influenza virus harboring type 5 hemagglutinin (H5) and type 1 neuraminidase (N1) surface proteins, which help in viral entry and spread, respectively.

Tiny robots use sound to self-organize into intelligent groups

Animals like bats, whales and insects have long used acoustic signals for communication and navigation. Now, an international team of scientists has taken a page from nature’s playbook to model micro-sized robots that use sound waves to coordinate into large swarms that exhibit intelligent-like behavior.

The robot groups could one day carry out complex tasks like exploring disaster zones, cleaning up pollution, or performing from inside the body, according to team lead Igor Aronson, Huck Chair Professor of Biomedical Engineering, Chemistry, and Mathematics at Penn State.

“Picture swarms of bees or midges,” Aronson said. “They move, that creates sound, and the sound keeps them cohesive, many individuals acting as one.”

Next-level pixel-particle analogy uses quantum-inspired math to clarify noisy medical images

Medical imaging methods such as ultrasound and MRI are often affected by background noise, which can introduce blurring and obscure fine anatomical details in the images. For clinicians who depend on medical images, background noise is a fundamental problem in making accurate diagnoses.

Methods for denoising have been developed with some success, but they struggle with the complexity of noise patterns in and require manual tuning of parameters, adding complexity to the denoising process.

To solve the denoising problem, some researchers have drawn inspiration from , which describes how matter and energy behave at the atomic scale. Their studies draw an analogy between how particles vibrate and how pixel intensity spreads out in images and causes noise. Until now, none of these attempts directly applied the full-scale mathematics of quantum mechanics to image denoising.

Neural navigation: Engineers map brain’s smallest blood vessels using computer models

Healthy brain function relies on a steady supply of blood. Disruptions in blood flow are linked to major neurological conditions like stroke, Alzheimer’s disease (AD), and traumatic brain injuries. But understanding how the brain fine-tunes this flow—especially across its smallest blood vessels—remains a challenge.

The brain’s blood supply includes a vast network of vessels, ranging from large arteries to microscopic capillaries. Between these lie transitional zone (TZ) vessels—such as penetrating arterioles, precapillary arterioles, and capillary sphincters—that bridge the gap and may play a big role in regulating flow. But their exact contribution, particularly during increased brain activity, remains a subject of scientific debate.

To explore these dynamics, researchers from the College of Engineering and Computer Science at Florida Atlantic University and the FAU Sensing Institute (I-SENSE) developed a highly detailed computer model of the mouse brain’s vasculature, treating each vessel segment as a tiny, adjustable valve.

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