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Category: health – Page 180

Psilocybin, the psychedelic compound in magic mushrooms, may help people with alcohol dependencies abstain from drinking. Nearly half of those who took the drug as part of a 12-week therapy programme no longer drank more than eight months later, according to results from the largest trial to date on psilocybin and addiction.

Michael Bogenschutz at NYU Langone Health in New York and his colleagues recruited 95 adults who were diagnosed with alcohol dependence. None of the participants had any major psychiatric conditions or had used psychedelics in the past year.

Everyone in the group went through a 12-week therapy programme. Most weeks, they had a roughly 1-hour long session with a therapist and a psychiatrist where they received cognitive behavioural therapy for alcohol use disorder.

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Artificial Intelligence (AI) can perform preventive healthcare activities such as health screening, routine check-up and vaccination with expert-level accuracy that can turn out to be cost-effective in the long run. Yet, a new research found that individuals show less trust in preventive care interventions suggested by AI than when the same interventions are prompted by human health experts.

The researchers at Nanyang Technological University (NTU) Singapore studied 15,000 users of a health mobile application and found that emphasising the involvement of a human health expert in an AI-suggested intervention could improve its acceptance and effectiveness.

These findings suggest that the human element remains important even as the healthcare sector increasingly adopts AI to screen, diagnose and treat patients more efficiently. The findings could also contribute to the design of more effective AI-prompted preventive care interventions, said the researchers.

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Choosing interesting dissertation topics in ML is the first choice of Master’s and Doctorate scholars nowadays. Ph.D. candidates are highly motivated to choose research topics that establish new and creative paths toward discovery in their field of study. Selecting and working on a dissertation topic in machine learning is not an easy task as machine learning uses statistical algorithms to make computers work in a certain way without being explicitly programmed. The main aim of machine learning is to create intelligent machines which can think and work like human beings. This article features the top 10 ML dissertations for Ph.D. students to try in 2022.

Text Mining and Text Classification: Text mining is an AI technology that uses NLP to transform the free text in documents and databases into normalized, structured data suitable for analysis or to drive ML algorithms. This is one of the best research and thesis topics for ML projects.

Recognition of Everyday Activities through Wearable Sensors and Machine Learning: The goal of the research detailed in this dissertation is to explore and develop accurate and quantifiable sensing and machine learning techniques for eventual real-time health monitoring by wearable device systems.

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Our bodies are home to hundreds or thousands of species of microbes — nobody is sure quite how many. That’s just one of many mysteries about the so-called human microbiome.

Our inner ecosystem fends off pathogens, helps digest food and may even influence behavior. But scientists have yet to figure out exactly which microbes do what or how. Many studies suggest that many species have to work together to do each of the microbiome’s jobs.

To better understand how microbes affect our health, scientists have for the first time created a synthetic human microbiome, combining 119 species of bacteria naturally found in the human body. When the researchers gave the concoction to mice that did not have a microbiome of their own, the bacterial strains established themselves and remained stable — even when the scientists introduced other microbes.

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Researchers have discovered a gene that increases muscle strength when activated by exercise, opening the door to the creation of therapeutic treatments that replicate some of the benefits of working out.

The University of Melbourne-led research, which was published in Cell Metabolism, demonstrated how various forms of exercise alter the molecules in our muscles and led to the identification of the new C18ORF25 gene, which is activated by all forms of exercise and is responsible for enhancing muscle strength. Animals lacking C18ORF25 have weaker muscles and worse exercise performance.

Dr. Benjamin Parker, project leader, said that by activating the C18ORF25 gene, the research team could observe muscles grow significantly stronger without necessarily becoming larger.

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Some New Yorkers who completed their vaccine series should receive a single lifetime booster shot, health officials said. These individuals include people who might have contact with someone infected or thought to be infected with poliovirus or members of the infected person’s household.

Health care workers should also get a booster if they work in areas where poliovirus has been detected and they might handle specimens or treat patients who may have polio. People who might be exposed to wastewater due to their job should also consider getting a booster, health officials said.

All children should receive four doses of the polio vaccine. The first dose is administered between 6 weeks and 2 months of age, the second dose is given at 4 months, the third at 6 months to 18 months, and the fourth dose at 4 to 6 years old.

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Skin-like electronics could seamlessly integrate with the body for applications in health monitoring, medication therapy, implantable medical devices, and biological studies.

With the help of the Polsky Center for Entrepreneurship and Innovation, Sihong Wang, an assistant professor of molecular engineering at the University of Chicago’s Pritzker School of Molecular Engineering, has secured patents for the building blocks of these novel devices.

Drawing on innovation in the fields of semiconductor physics, solid mechanics, and energy sciences, this work includes the creation of stretchable polymer semiconductors and transistor arrays, which provide exceptional electrical performance, high semiconducting properties, and mechanical stretchability. Additionally, Wang has developed triboelectric nanogenerators as a new technology for harvesting energy from a user’s motion—and designed the associated energy storage process.

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University of Texas at Dallas physicists and their collaborators at Yale University have demonstrated an atomically thin, intelligent quantum sensor that can simultaneously detect all the fundamental properties of an incoming light wave.

The research, published April 13 in the journal Nature, demonstrates a new concept based on quantum geometry that could find use in health care, deep-space exploration and remote-sensing applications.

“We are excited about this work because typically, when you want to characterize a wave of light, you have to use different instruments to gather information, such as the intensity, wavelength and polarization state of the light. Those instruments are bulky and can occupy a significant area on an optical table,” said Dr. Fan Zhang, a corresponding author of the study and associate professor of physics in the School of Natural Sciences and Mathematics.

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2077 — 10 Seconds to the Future — Mutation | Science Documentary.

2077 — 10 Seconds to the Future | Global Estrangement: https://youtu.be/CTOduDIkcdM

We are at the starting line of an exponential technological change. In the coming decades we will experience the dematerialization of technology. Computers will abandon desks to be installed in eyes, in walls and in everything that surrounds us. Chips will be integrated in virtually everything around us, transmitting vital information. The quality of life and the average life expectancy will increase astoundingly, and aging will be delayed. We will have the capacity to choose genes for our children and to create new forms of life. In 2007, a smartphone had more power than the computers NASA used to take man to the moon in 1969. In 2077 it’s likely that we will control the objects around us through our thought. The opinion that the revolution under way is the biggest and fastest ever is unanimous, with the interception of genetics, nanotechnology and artificial intelligence. The consequences are many and cross-cutting, with great impact on our health. However, the rise of the machine raises unprecedented challenges, even the possibility of the extinction of Humankind itself.
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As demonstrated by breakthroughs in various fields of artificial intelligence (AI), such as image processing, smart health care, self-driving vehicles and smart cities, this is undoubtedly the golden period of deep learning. In the next decade or so, AI and computing systems will eventually be equipped with the ability to learn and think the way humans do—to process continuous flow of information and interact with the real world.

However, current AI models suffer from a performance loss when they are trained consecutively on new information. This is because every time new data is generated, it is written on top of existing data, thus erasing previous information. This effect is known as “catastrophic forgetting.” A difficulty arises from the stability-plasticity issue, where the AI model needs to update its memory to continuously adjust to the new information, and at the same time, maintain the stability of its current knowledge. This problem prevents state-of-the-art AI from continually learning from real world information.

Edge computing systems allow computing to be moved from the cloud storage and to near the , such as devices connected to the Internet of Things (IoTs). Applying continual learning efficiently on resource limited edge computing systems remains a challenge, although many continual learning models have been proposed to solve this problem. Traditional models require high computing power and large memory capacity.

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