Brian DeMario, of Munster, had robotic cardiac surgery, a much less invasive procedure that is performed through small incisions in the chest and the use of tiny instruments. Brian DeMario was told to limit activities for the first week, but since then, has walked three times a day. At 54, Brian DeMario was in disbelief.Just a month earlier, the Munster resident was hiking the Smoky Mountains, nearly 6,000 feet above sea level.Now he was hearing the words, double bypass heart surgery."I "I'm 54 years old, and I have to get a bypass."As He also had many of the same thoughts as anyone faced with the prospect of open heart surgery.Then he discovered he was eligible for robotic cardiac surgery, a much less invasive procedure that is performed through small incisions in the chest and the use of tiny instruments.Dr.
Cardio-focused digital health company AliveCor landed FDA clearance for its new suite of interpretive ECG algorithms, dubbed the Kardia AI V2. This news comes just days after the company announced a $65 million Series E funding round. The new clearance will is able to capture sinus rhythm with premature ventricular contractions, sinus rhythm with supraventricular ectopy and a sinus rhythm with wide QRS. The algorithm works on AliveCor's KardiaMobile and KardiaMobile 6L devices, which even before this latest FDA clearance, have been able to take 30-second ECGs, and are hooked up to a corresponding app. According to the company's release, the algorithm will also reduce the number of unclassified readings, and has improved sensitivity and specificity on the company's normal and atrial fibrillation algorithms. Users will also have new visualization tools that let them see heart beat average, PVC identification and tachogram.
Drinking cocoa can increase your mental agility thanks to the presence of flavanols – chemicals that are abundant in cocoa beans. UK and US researchers found healthy adults performed better on difficult cognitive tasks if the participants had consumed a cocoa drink containing high levels of flavanols. After drinking flavanol-rich cocoa, participants produced a faster and greater increase in blood oxygenation in the frontal cortex – a brain region that plays a key role in cognition and decision-making – that helped them complete these tasks. Flavanols are antioxidants and are abundant in tea, red wine, blueberries, apples, pears, cherries, and peanuts, as well as in the seeds of the cacao tree – cocoa beans. By enriching supermarket cocoa with flavanols, food producers could help us increase the brain-boosting plant nutrient in our diet.
People crave company when socially isolated -- such as amid lockdown -- in almost exactly the same way that a hungry individual longs for food, a study has concluded. US experts found that after ten hours of seclusion, people not only want company but also exhibit increased brain responses to pictures of social interactions. Social interactions are rewarding, the team said -- and related images (like smiling faces or people chatting) also engages the brain's dopamine-based reward system. The findings build on past work that found mice exhibited increased responses in the midbrain dopamine system when being social after a period of isolation. While this had suggested that the midbrain may play a role in feelings of social isolation, it had been unclear exactly whether the same would apply in humans.
According to a study by the NYU Center for the Study of Asian American Health (CSAAH), diabetes, which increases the risk of heart diseases, is rife among South Asians. The report's findings conclude that in the United States, South Asian immigrants are 7 times more likely to have type 2 diabetes than the general population, and in New York City, Indian immigrants are at a greater risk of hospitalization for diabetes than other immigrants.
I was recently invited to judge a Data Science competition. The students were given the'heart disease prediction' dataset, perhaps an improvised version of the one available on Kaggle. I had seen this dataset before and often come across various self-proclaimed data science gurus teaching naïve people how to predict heart disease through machine learning. I believe the "Predicting Heart Disease using Machine Learning" is a classic example of how not to apply machine learning to a problem, especially where a lot of domain experience is required. Let me unpack the various problems in applying machine learning to this data set.
The emotional health and wellbeing of both elderly and disabled individuals could be improved by the use of appropriately tailored sex robots, an expert has said. Bioethicist Nancy Jecker of the University of Washington has argued that the sexbot industry should expand its market further beyond young, able-bodied men. Aging may bring physiological changes and an increased risk of conditions like arthritis and cardiovascular disease that can interfere with sexual activity. However, Dr Jecker noted, this does not remove the desire for intimacy and sexual activity among older adults -- however much such is dismissed by society. A study in 2007, for example, found that more than half of 65–74 year-olds remain sexually active, as did more than a quarter of people aged between 75-85.
Researchers in China have developed a deep-learning-based algorithm that could help radiologists detect potentially life-threatening cerebral aneurysms on CT angiography images. Cerebral aneurysms are weak spots in blood vessels in the brain, which can balloon out and fill with blood. If such a bulging aneurysm leaks or ruptures, it can cause serious symptoms and sometimes be fatal. The risk of rupture depends on the size, shape and location of the aneurysm, making detection and characterization of cerebral aneurysms vital. CT angiography, which uses X-ray CT to visualize blood vessels following injection of contrast into the bloodstream, is usually the first-line imaging exam for detecting cerebral aneurysms.
Supervised Learning is an essential part of Machine Learning. Classification techniques are used when the variable to be predicted is categorical. A common example of classification problem is trying to classify an Iris flower among its three different species. Logistic regression is a classification technique borrowed by machine learning from the field of statistics. Logistic Regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome.
In the contemporary world, technology plays a crucial role in transforming the way we do business and lead businesses on a path of development. Similar to the disruptions caused by technology in education, e-commerce, finance, among many others, it is also driving major innovations in the healthcare industry. Technology has assisted the field with an abundance of progress, in the terms of treatments, diagnoses and medicinal devices. It has resulted in saving and improving countless lives all across the world. Healthcare sector in India is growing at a rapid pace and is also undergoing multiple technological advancements.