Lifeboat Foundation

Could cannabis use lead to anxiety disorders? This is what a recent study published in EClinicalMedicine hopes to address as a team of researchers led by the Ottawa Hospital Research Institute examine the connection between cannabis use and anxiety disorders by patients who have had emergency department visits. While this study was limited to Canada, it holds the potential to help researchers, legislators, and the public better understand the long-term risks of cannabis on mental health disorders throughout the world.

For the study, the researchers analyzed health records from 2008 to 2019 for 12,099,144 individuals between 10 and 105 years of age across Ontario, Canada who had no prior history of being diagnosed with an anxiety disorder from any hospital visit and compared this to the general population. In the end, the researchers found that 27.5 percent of individuals who visited a hospital for cannabis use were diagnosed with an anxiety disorder within three years of their hospital visit, whereas only 5.6 percent of the general population experienced the same. Additionally, they found that individuals who visited a hospital for cannabis use also visited a hospital for an anxiety disorder within three years of the initial hospital visit, whereas only 1.2 percent of the general population experienced the same.

“Our results suggest that individuals requiring emergency department treatment for cannabis use were both at substantially increased risk of developing a new anxiety disorder and experiencing worsening symptoms for already existing anxiety disorders,” said Dr. Daniel Myran, who is a Faculty of Medicine in the Department of Family Medicine at the University of Ottawa and lead author of the study.

C. auris, a type of yeast that can cause severe illness, is a “global health threat”, according to experts.

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Norovirus, a highly infectious virus that is the leading cause of diarrhea and vomiting in the U.S., has no approved therapeutics or vaccines to prevent its miserable effects. This is partly due to a lack of reliable animal models to study norovirus infection and predict how effective interventions would be in people. To solve this, NIAID scientists have developed an animal model to study human norovirus infection that could help facilitate the development of new vaccines and therapeutics to treat norovirus infection. Findings from this research were published Feb. 6 in Nature Microbiology.

Human norovirus causes illness in tens of millions of people in the U.S. each year and, in some cases, can result in hospitalization and even death. It is easily spread when people ingest foods, drinks or particles from surfaces contaminated by virus from the stool or vomit of an infected individual. Noroviruses are genetically diverse, with different genogroups—groups characterized by genetic similarity—of the virus infecting different species of animals. Several genogroups of noroviruses infect people without similarly infecting animals. This has led to difficulties in establishing an animal model for human norovirus infection.

Following up on earlier evidence that rhesus macaque monkeys could develop norovirus infections, a team of researchers led by scientists at NIAID’s Vaccine Research Center set out to determine whether macaques could serve as an effective animal model for the human disease. The macaques were challenged with several genotypes of human noroviruses at once. Throughout the experiment, the animals were kept in biocontainment, and their health and behavior were carefully monitored. Levels of virus in the animals’ stool were measured, and antibodies against norovirus in the animals’ blood serum were analyzed. The researchers found that the macaques were susceptible to viral infection with at least two genotypes of norovirus, with similar antibody responses, shedding of virus in stool, and pathology as in human norovirus infection. Notably, the infections in the animals did not result in clinical symptoms, such as diarrhea and vomiting.

The chatbot’s creators, from the AI company Limbic, set out to investigate whether AI could lower the barrier to care by helping patients access help more quickly and efficiently.

A new study, published today in Nature Medicine, evaluated the effect that the chatbot, called Limbic Access, had on referrals to the NHS Talking Therapies for Anxiety and Depression program, a series of evidence-based psychological therapies for adults experiencing anxiety disorders, depression, or both.

It examined data from 129,400 people visiting websites to refer themselves to 28 different NHS Talking Therapies services across England, half of which used the chatbot on their website and half of which used other data-collecting methods such as web forms. The number of referrals from services using the Limbic chatbot rose by 15% during the study’s three-month time period, compared with a 6% rise in referrals for the services that weren’t using it.

This condition is called jaundice. Symptoms can also appear in adults. For adults, it can be a sign of a serious health condition. Learn more about the causes of jaundice:

Jaundice is a yellow coloring of the skin or eyes caused by too much bilirubin in the body. Jaundice can happen for many reasons. Learn about it here.

The creation of an artificial intelligence (AI) system that can analyze retinal fundus images to detect chronic kidney disease (CKD) and type 2 diabetes mellitus (T2DM) represents a groundbreaking advancement in medical technology. This AI model, developed using a substantial dataset of retinal images and advanced convolutional neural networks, has demonstrated exceptional accuracy in identifying these conditions. Its capability extends beyond mere detection, as it also shows promise in predicting the progression of these diseases based on retinal imaging and clinical metadata.

A notable innovation of this AI system is its ability to analyze smartphone images. This feature significantly enhances the accessibility of sophisticated diagnostic tools, especially in regions with limited healthcare resources. The AI model paves the way for more widespread and convenient health screenings by enabling ubiquitous smartphone technology for medical imaging. This development is particularly impactful in enhancing healthcare delivery and access, as it brings critical diagnostic capabilities into the hands of more people, even in remote or underserved areas.

The AI’s proficiency in predicting the future development of CKD and T2DM is another aspect of its novelty. This predictive ability is crucial for timely intervention, potentially altering the trajectory of these chronic illnesses. Early detection and management are vital in battling CKD and T2DM, and this AI model’s predictive power could significantly improve patient outcomes.

Algae provide a wide range of nutrients that are beneficial for health, including protein, sterols, and vitamins. Numerous health-promoting characteristics, including antioxidant and anti-proliferative actions in relation to algal phenolic and flavonoid concentrations, have been shown by scientific research ^6–9. Produced for both humans and animals, algae and microalgae are often rich sources of fats (especially omega-3 fatty acids and carotenoids), carbohydrates, minerals, enzymes, hormones, and colors ¹⁰.

Health benefits supported by science

Algae have been shown to have multiple health benefits, including the ability to combat microbiological infections, hypertension, obesity, and diabetes, owing to their complex nutritional composition. As a result, the market for nutraceuticals generated from algae is growing quickly in the food supplement industry. A major factor in this has also been the idea of algae prebiotics and how they affect the gut microbiota ¹¹.

Ball is not alone in calling for a drastic rethink of how scientists discuss biology. There has been a flurry of publications in this vein in the past year, written by me and others^2–4. All outline reasons to redefine what genes do. All highlight the physiological processes by which organisms control their genomes. And all argue that agency and purpose are definitive characteristics of life that have been overlooked in conventional, gene-centric views of biology.

This burst of activity represents a frustrated thought that “it is time to become impatient with the old view”, as Ball says. Genetics alone cannot help us to understand and treat many of the diseases that cause the biggest health-care burdens, such as schizophrenia, cardiovascular diseases and cancer. These conditions are physiological at their core, the author points out — despite having genetic components, they are nonetheless caused by cellular processes going awry. Those holistic processes are what we must understand, if we are to find cures.

Ultimately, Ball concludes that “we are at the beginning of a profound rethinking of how life works”. In my view, beginning is the key word here. Scientists must take care not to substitute an old set of dogmas with a new one. It’s time to stop pretending that, give or take a few bits and pieces, we know how life works. Instead, we must let our ideas evolve as more discoveries are made in the coming decades. Sitting in uncertainty, while working to make those discoveries, will be biology’s great task for the twenty-first century.

Photonic integrated circuits are an important next-wave technology. These sophisticated microchips hold the potential to substantially decrease costs and increase speed and efficiency for electronic devices across a wide range of application areas, including automotive technology, communications, health care, data storage, and computing for artificial intelligence.

Photonic circuits use photons, fundamental particles of light, to move, store, and access information in much the same way that conventional electronic circuits use electrons for this purpose. Photonic chips are already in use today in advanced fiber-optic communication systems, and they are being developed for implementation in a broad spectrum of near-future technologies, including light detection and ranging, or LiDAR, for autonomous vehicles; light-based sensors for medical devices; 5G and 6G communication networks; and optical and quantum computing.

Given the broad range of existing and future uses for photonic integrated circuits, access to equipment that can fabricate chip designs for study, research and industrial applications is also important. However, today’s nanofabrication facilities cost millions of dollars to construct and are well beyond the reach of many colleges, universities, and research labs.