Dr. Ralph W. Moss and his son Ben discuss the anti-cancer properties and challenges of consuming green tea as a part of a healthy diet.
Program Notes:
Many people who have come close to death or have been resuscitated report a similar experience: Their lives flash before their eyes, memorable moments replay, and they may undergo an out-of-body experience, sensing they’re looking at themselves from elsewhere in the room. Now, a small study mapping the brain activity of four people while they were dying shows a burst of activity in their brains after their hearts stop.
The authors say the finding, published today in the, may explain how a person’s brain could replay conscious memories even after the heart has stopped. It “suggests we are identifying a marker of lucid consciousness,” says Sam Parnia, a pulmonologist at New York University Langone Medical Center who was not involved in the study.
Although death has historically been medically defined as the moment when the heart irreversibly stops beating, recent studies have suggested brain activity in many animals and humans can continue for seconds to hours. In 2013, for instance, University of Michigan neurologist Jimo Borjigin and team found that rats’ brains showed signs of consciousness up to 30 seconds after their hearts had stopped beating. “We have this binary concept of life and death that is ancient and outdated,” Parnia says.
An AI-based decoder that can translate brain activity into a continuous stream of text has been developed, in a breakthrough that allows a person’s thoughts to be read non-invasively for the first time.
The decoder could reconstruct speech with uncanny accuracy while people listened to a story – or even silently imagined one – using only fMRI scan data. Previous language decoding systems have required surgical implants, and the latest advance raises the prospect of new ways to restore speech in patients struggling to communicate due to a stroke or motor neurone disease.
“For a noninvasive method, this is a real leap forward compared to what’s been done before, which is typically single words or short sentences.”
What if someone could listen to your thoughts? Sure, that’s highly improbable, you might say. Sounds very much like fiction. And we could have agreed with you, until yesterday.
Researchers at The University of Texas at Austin have decoded a person’s brain activity while they’re listening to a story or imagining telling a story into a stream of text, thanks to artificial intelligence and MRI scans.
It works for retinitis pigmentosa (RP) and dry age-related macular degeneration (AMD).
Science Corp has conceived of a new bionic eye that targets and cures two diseases that cause blindness. “Today we’re excited to take the covers off of our first flagship product development program: the Science Eye, a visual prosthesis targeted at retinitis pigmentosa (RP) and dry age-related macular degeneration (AMD), two forms of serious blindness presently without good options for patients,” said the firm in a post from November 2022.
How does it work? By targeting the functioning of the diseases.
Continue reading “This bionic eye cures diseases that cause blindness” »
The AI model employs radiomics, a technique for extracting critical information from medical images that are not always visible to the naked eye.
An artificial intelligence (AI) model that accurately identifies cancer has been developed by a team of scientists, doctors, and researchers from Imperial College London, the Institute of Cancer Research in London, and the Royal Marsden NHS Foundation Trust.
Reportedly, this new AI model uses radiomics, a technique that extracts critical information from medical images that may not be visible to the naked eye. This, in turn, aids in determining whether the abnormal growths detected on CT scans are cancerous.
About 1 in 10 cases of COVID-19 nationwide is caused by an emerging coronavirus strain, XBB.1.16.
The World Health Organization has elevated this strain of omicron to one of two “circulating variants of interest.” The variant, which has been called Arcturus, is responsible for a growing share of coronavirus cases in the United States.
As of April 22, it caused 9.6% of COVID-19 infections nationwide, according to the Centers for Disease Control and Prevention.
Applying machine learning models, a type of artificial intelligence (AI), to data collected passively from wearable devices can identify a patient’s degree of resilience and well-being, according to investigators at the Icahn School of Medicine at Mount Sinai in New York.
The findings, reported in the May 2 issue of JAMIA Open, support wearable devices, such as the Apple Watch, as a way to monitor and assess psychological states remotely without requiring the completion of mental health questionnaires.
The paper, titled “A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort,” points out that resilience, or an individual’s ability to overcome difficulty, is an important stress mitigator, reduces morbidity, and improves chronic disease management.
Forget about evolution, climate change or vaccines – what makes people really lose their mind, apparently, is cats.
“We’ve had posts that have affected people’s lives in a very substantial way, including posts that went beyond the virtual world. People really got threats or disrespectful comments,” says Yomiran Nissan.
Continue reading “The Israelis bringing us big science in little soundbites” »
Upon removal of ventilator support, two of the patients showed an increase in heart rate along with a surge of gamma wave activity, considered the fastest brain activity and associated with consciousness.
Furthermore, the activity was detected in the so-called hot zone of neural correlates of consciousness in the brain, the junction between the temporal, parietal and occipital lobes in the back of the brain. This area has been correlated with dreaming, visual hallucinations in epilepsy, and altered states of consciousness in other brain studies.
