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Category: biotech/medical – Page 865

Artificial intelligence has entered our daily lives. First, it was ChatGPT. Now, it’s AI-generated pizza and beer commercials. While we can’t trust AI to be perfect, it turns out that sometimes we can’t trust ourselves with AI either.

Cold Spring Harbor Laboratory (CSHL) Assistant Professor Peter Koo has found that scientists using popular computational tools to interpret AI predictions are picking up too much “noise,” or extra information, when analyzing DNA. And he’s found a way to fix this. Now, with just a couple new lines of code, scientists can get more reliable explanations out of powerful AIs known as . That means they can continue chasing down genuine DNA features. Those features might just signal the next breakthrough in health and medicine. But scientists won’t see the signals if they’re drowned out by too much noise.

So, what causes the meddlesome noise? It’s a mysterious and invisible source like digital “.” Physicists and astronomers believe most of the universe is filled with dark matter, a material that exerts gravitational effects but that no one has yet seen. Similarly, Koo and his team discovered the data that AI is being trained on lacks critical information, leading to significant blind spots. Even worse, those blind spots get factored in when interpreting AI predictions of DNA function. The study is published in the journal Genome Biology.

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Artificial intelligence has proven itself useful in reading medical imaging and even shown it can pass doctors’ licensing exams.

Now, a new AI tool has demonstrated the ability to read physicians’ notes and accurately anticipate patients’ risk of death, readmission to hospital, and other outcomes important to their care.

Designed by a team at NYU Grossman School of Medicine, the software is currently in use at the university’s affiliated hospitals throughout New York, with the hope that it will become a standard part of health care.

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Researchers say they have been able to tap a new pool of organ donors to preserve and transplant their hearts: people whose hearts have stopped beating, resulting in so-called circulatory death.

Traditionally, the only people considered to be suitable organ donors were those who have been declared brain-dead but whose hearts and other organs have continued to function.

There’s another group that would be willing to donate if survival wasn’t possible: people who may have severe brain injuries but who are not brain-dead. In these cases, people are considered deceased when their hearts stop beating after withdrawal of life support, also called circulatory death.

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Continue reading “HsCRP: What’s Optimal, Which Factors May Reduce It?” | >

Year 2022 Microfluidics could even enable large amounts of liquids to be transferred with minimal weight buy here it is used in organs on a chip.

Organs-on-chips are microfluidic systems containing miniature tissues with the aim of mimicking human physiology for a range of biomedical and therapeutic applications. Leung, de Haan et al. report practical tips to inform design and operational decisions during the implementation of organ-on-a-chip systems.

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Year 2021 😗😁

MIT engineers, in collaboration with scientists at Cancer Research UK Manchester Institute, have developed a new way to grow tiny replicas of the pancreas, using either healthy or cancerous pancreatic cells. Their new models could help researchers develop and test potential drugs for pancreatic cancer, which is currently one of the most difficult types of cancer to treat.

Using a specialized gel that mimics the extracellular environment surrounding the pancreas, the researchers were able to grow pancreatic “organoids,” allowing them to study the important interactions between pancreatic tumors and their environment. Unlike some of the gels now used to grow tissue, the new MIT gel is completely synthetic, easy to assemble and can be produced with a consistent composition every time.

“The issue of reproducibility is a major one,” says Linda Griffith, the School of Engineering Professor of Teaching Innovation and a professor of biological engineering and mechanical engineering. “The research community has been looking for ways to do more methodical cultures of these kinds of organoids, and especially to control the microenvironment.”

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Year 2019 😗😁

Hepatology and drug development for liver diseases require in vitro liver models. Typical models include 2D planar primary hepatocytes, hepatocyte spheroids, hepatocyte organoids, and liver-on-a-chip. Liver-on-a-chip has emerged as the mainstream model for drug development because it recapitulates the liver microenvironment and has good assay robustness such as reproducibility. Liver-on-a-chip with human primary cells can potentially correlate clinical testing. Liver-on-a-chip can not only predict drug hepatotoxicity and drug metabolism, but also connect other artificial organs on the chip for a human-on-a-chip, which can reflect the overall effect of a drug. Engineering an effective liver-on-a-chip device requires knowledge of multiple disciplines including chemistry, fluidic mechanics, cell biology, electrics, and optics.

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