Lifeboat Foundation

Year 2021 😀 😍

The COVID-19 pandemic has reached direct and indirect medical and social consequences with a subset of patients who rapidly worsen and die from severe-critical manifestations. As a result, there is still an urgent need to identify prognostic biomarkers and effective therapeutic approaches. Severe-critical manifestations of COVID-19 are caused by a dysregulated immune response. Immune checkpoint molecules such as Programmed death-1 (PD-1) and its ligand programmed death-ligand 1 (PD-L1) play an important role in regulating the host immune response and several lines of evidence underly the role of PD-1 modulation in COVID-19. Here, by analyzing blood sample collection from both hospitalized COVID-19 patients and healthy donors, as well as levels of PD-L1 RNA expression in a variety of model systems of SARS-CoV-2, including in vitro tissue cultures, ex-vivo infections of primary epithelial cells and biological samples obtained from tissue biopsies and blood sample collection of COVID-19 and healthy individuals, we demonstrate that serum levels of PD-L1 have a prognostic role in COVID-19 patients and that PD-L1 dysregulation is associated to COVID-19 pathogenesis. Specifically, PD-L1 upregulation is induced by SARS-CoV-2 in infected epithelial cells and is dysregulated in several types of immune cells of COVID-19 patients including monocytes, neutrophils, gamma delta T cells and CD4+ T cells. These results have clinical significance since highlighted the potential role of PD-1/PD-L1 axis in COVID-19, suggest a prognostic role of PD-L1 and provide a further rationale to implement novel clinical studies in COVID-19 patients with PD-1/PD-L1 inhibitors.

COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) holds the world in thrall since early March 2020. COVID-19 manifests a spectrum of signs and symptoms from mild illness to acute pneumonia. Unfortunately, a considerable percentage of patients rapidly worse to acute respiratory distress syndrome (ARDS) requiring intensive care (1, 2).

Continue reading “PD-L1 Dysregulation in COVID-19 Patients” »

Research has found, while AI could lead to the creation of 69 million new jobs worldwide, it could also result in the loss of 83 million existing jobs.
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Alex Jenkin from the WA Data Science Innovation Hub says it’s more likely people will be replaced by someone who can use AI tools like ChatGPT, rather than artificial intelligence itself.

Continue reading “What industries will feel the most impact from artificial intelligence? | ABC News” »

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 deep neural networks. 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 “dark matter.” 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.

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.

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.

To learn more about nose and sinus cancers, we spoke with head and neck surgeon Ehab Hanna, M.D.

What are the symptoms of nose and sinus cancers?

Early symptoms often mimic those of more common conditions, such as sinus infections and allergies. As a result, these cancers are often misdiagnosed.

Colorectal cancer screening can detect cancer early, giving you the greatest chance for successful treatment. While colonoscopy is the gold standard for colorectal cancer screening, you may be wondering when you should get your first test.

We spoke with gastroenterologist Mazen Alasadi, M.D., about the recommended age for colonoscopies.

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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.