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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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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.

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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.

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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.

Cancer tumors hijack the genetic program used by developing nerves. This is shown in a study published in the journal Frontiers in Genetics by researchers at Umeå University. In the long term, the results may open up new ways of treating cancer by limiting the tumor’s interaction with the nerves.

“We are still only early in the research, but this opens up exciting opportunities to fight cancer in the body in a completely new way,” says Sara Wilson, associate professor of neurobiology at the Department of Integrative Medical Biology at Umeå University.

In cancer, there is an interaction between tumors and nerves. You could say that the tumor talks to the nervous system. The researchers believe that by interpreting this “conversation,” it will later be possible to find ways to break it and thus slow down the cancer or reduce the risk of it spreading.

Join Dr. Ralph W. Moss and Ben Moss as they delve into the science of tomatoes and their potent component, lycopene. Uncover the groundbreaking research that positions lycopene as a significant agent against cancer. Discover the fascinating journey of lycopene from the humble tomato to its swift presence in our bloodstream, fueling our body’s defense mechanisms. This episode is a compelling look into how nature equips us with powerful tools to combat disease, and offers practical insights on maximizing the benefits of tomatoes in our diet.

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Insilico Medicine, a clinical-stage generative AI-driven drug discovery company has announced that the company has used Microsoft BioGPT to identify targets against both the aging process and major age-related diseases.

Longevity. Technology: ChatGPT – the AI chatbot – can craft poems, write webcode and plan holidays. Large language models (LLMs) are the cornerstone of chatbots like GPT-4; trained on vast amounts of text data, they have been contributing to advances in diverse fields including literature, art and science – but their potential in the complex realms of biology and genomics has yet to be fully unlocked.