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The patch can calibrate the glucose measurements based on the pH and temperature changes in sweat due to factors such as exercise and eating.

A team of researchers at Penn State has developed a new wearable patch that can monitor your health by analyzing your sweat. The patch, which is made of a special material that can detect glucose, pH, and temperature in sweat, can provide valuable information about your body’s condition and help diagnose and manage diseases such as diabetes.

Credit: Kate Myers/Penn State.

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Llama 2 Long is an extension of Llama 2, an open-source AI model that Meta released in the summer.

While Meta Platforms unveiled several new AI-powered features for its popular apps like Facebook, Instagram, and WhatsApp at its annual Meta Connect event in California this week, the most impressive innovation from the social media giant may have gone unnoticed by many.

A team of Meta researchers quietly published a paper introducing Llama 2 Long, a new AI model that can generate coherent and relevant responses to long user queries, surpassing some of the best competitors in the field.

This lightweight material surpasses the strength of steel.

There is a high demand for strong yet lightweight materials across diverse industries, including defense, medical devices, and automotive sectors, among others.

Material scientists have been investigating the possibilities of unconventional components in order to meet this growing demand and enhance technological advancements.

Meta CEO Mark Zuckerberg reveals the technology behind codec avatars, which create ultra-realistic VR faces.

Meta, formerly known as Facebook, has been struggling to convince the world that its vision of the metaverse is worth pursuing. The social media giant rebranded itself in October 2022, hoping to create a more immersive and interactive online experience for its users. However, the initial response was far from positive. Many people mocked the cartoonish and unrealistic avatars that Meta showcased in its demonstration video, which lasted for over an hour. Others questioned the need and feasibility of creating a virtual world that mimics real life.

Meta’s ambitious project also faced… More.

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The first time it happened, I was in a high school physics class. Suddenly, I couldn’t read half of the board. A crack zig-zagged through my vision, obscuring my teacher’s notes. “Huh,” I thought. “This can’t be good.”

My classmate walked me to the school nurse, who called my mom. Pain rippled from the back of my neck to my forehead. I’d had headaches before, but not like this. “Ah, your first migraine,” Mom said. “Welcome to the club.”

For nearly a billion people worldwide, migraine attacks disrupt work, vacation and school. They can be triggered by stress, weather changes, hormone shifts, missed meals or sleep changes — in other words, just about anything. These reoccurring headaches often spur pain on one side of the head. They can last a few hours or a few days, and they can cause nausea along with sensitivity to noises and light.

In a recent study led by Lei Jiang, Ph.D., an assistant professor of molecular and cellular endocrinology, a team of researchers from City of Hope and the University of Texas Southwestern Medical Center, found a potential new target for treating patients with metastatic cancer. Their findings were published in the August 29 issue of the journal Cell Rep orts.

The goal of the team’s study was to elucidate the role of reductive carboxylation in redox metabolism, a process believed to be important for metastatic cancer. Reductive carboxylation is best known as a metabolic pathway that provides a molecule called acetyl-CoA so that it can be turned into lipids, which is mediated by fatty acid synthase (FASN). The FASN-mediated lipogenesis process supports rapid growth in most proliferating cancer cells, and increased FASN expression has been viewed as a metabolic feature of cancer cells. Thus, FASN is considered a potential target to block tumor growth.

New research has identified that preventing the metabolic adaptations needed for cancer to metastasize could provide a target for treating patients with metastatic cancer.

Continue reading “Potential New Treatment Target for Metastatic Cancer Identified” »

AI can also help develop objective risk stratification scores, predict the course of disease or treatment outcomes in CLD or liver cancer, facilitate easier and more successful liver transplantation, and develop quality metrics for hepatology.

Artificial Intelligence (AI) is an umbrella term that covers all computational processes aimed at mimicking and extending human intelligence for problem-solving and decision-making. It is based on algorithms or arrays of mathematical formulae that make up specific computational learning methods. Machine learning (ML) and deep learning (DL) use algorithms in more complex ways to predict learned and new outcomes.

AI-powered liver disease diagnosis Machine learning for treatment planning Predicting disease progression The future of hepatology References Further reading

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Exposure to a virus isn’t an all-or-nothing proposition. The concept of “infectious dose” suggests ways to keep ourselves safer from harm.