Indian-American helps with life-saving medication during hurricane harvey

A team of scientists has produced first open source all-atom models of full-length COVID-19 Spike protein that facilitates viral entry into host cells – a discovery that can facilitate a faster vaccine and antiviral drug development.

The group from Seoul National University in South Korea, University of Cambridge in the UK and Lehigh University in the US produced the first open-source all-atom models of a full-length S protein.

The researchers say this is of particular importance because the S protein plays a central role in viral entry into cells, making it a main target for vaccine and antiviral drug development.

"Our models are the first full-length SARS-CoV-2 spike (S) protein models that are available to other scientists," said Wonpil Im, a professor in Lehigh University.

"Our team spent days and nights to build these models very carefully from the known cryo-EM structure portions. Modeling was very challenging because there were many regions where simple modeling failed to provide high-quality models," he wrote in a paper published in The Journal of Physical Chemistry B.

Scientists can use the models to conduct innovative and novel simulation research for the prevention and treatment of Covid-19.

Though the coronavirus uses many different proteins to replicate and invade cells, the Spike protein is the major surface protein that it uses to bind to a receptor.

The total number of global COVID-19 cases was nearing 9 million, while the deaths have increased to over 467,000, according to the Johns Hopkins University.

With 2,279,306 cases and 119,967 deaths, the US continues with the world's highest number of COVID-19 infections and fatalities, according to the CSSE.

Brazil comes in the second place with 1,083,341 infections and 50,591 deaths.

The practice of washing your hands for 20 seconds is one of the best preventive measures you can take to avoid the spread of any virus including coronavirus as recommended by the WHO.

The modern day concept of handwashing was introduced by Hungaraian doctor Ignaz Semmelweis, in 19-th century Vienna. Semmelweis proposed the practice of washing hands with chlorinated lime solutions in 1847 while working in the city's general hospital.

Decades later, in the modern times too the practise has not lost it's relevance. To connect with savvy consumers the message is being sent through social media? But social media can also be a dark place where misinformation is rampant; consumers can end up being misguided and compromised on sensitive issues like health and hygiene.

Dettol, recently kickstarted its #HandWashChallenge on TikTok aiming to raise awareness on four simple steps of handwashing. Strategically aimed at creating awareness among audience, a unique song has been created pairing it extremely well with the hashtag #HandWashChallenge. The hashtag filter has a branded Dettol strip across the top with the hashtag and names the steps involved in washing hands. The user can dance out the steps to the challenge and share it with their friends to further amplify the message on hygiene and safety.

Commenting on the same, Pankaj Duhan, Chief Marketing Officer, RB Health South Asia said, "We are elated with the response to the #HandWashChallenge, it has definitely become one of the most successfully led initiatives by any of our brands at RB. Understanding the consumer's mindset is of the utmost importance to us, therefore our campaign communication is built in a way that creates meaningful conversations to drive awareness amongst consumers. The participation by TikTok users across India has helped deliver the right message in a more engaging and interactive manner.

"I personally would like to encourage more and more people to join this global health & hygiene educational exercise. Together, let us all build a healthier nation, four steps at a time."

He further said, "Over the past couple of weeks we have witnessed a lot of misinformation floating around hygiene practices, especially over the internet. Realizing the gravity of the issue and being the responsible brand, we felt it was our prerogative to initiate this awareness campaign."

The campaign witnessed several quirky activities on each day leading to increased consumer interest. Joining the force were some of Bollywood's popular celebrities like Kartik Aaryan and Urvashi Rautela among several other TikTok influencers who have millions of followers on the platform. As part of Phase II, Dettol plans to take the challenge global by encouraging more users to participate while the audience worldwide.

The challenge has witnessed over 18 Billion views and generated over 123K user participation videos in one week of starting the campaign.

New York, Feb 26:  A new wearable sensor that works in conjunction with artificial intelligence (AI) technology could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs, says a study.

The researchers said the system could eventually help avert up to one in three heart failure readmissions in the weeks following initial discharge from the hospital and help patients sustain a better quality of life.

"This study shows that we can accurately predict the likelihood of hospitalisation for heart failure deterioration well before doctors and patients know that something is wrong," says the study's lead author Josef Stehlik from University of Utah in the US.

"Being able to readily detect changes in the heart sufficiently early will allow physicians to initiate prompt interventions that could prevent rehospitalisation and stave off worsening heart failure," Stehlik added.

According to the researchers, even if patients survive, they have poor functional capacity, poor exercise tolerance and low quality of life after hospitalisations.

"This patch, this new diagnostic tool, could potentially help us prevent hospitalizations and decline in patient status," Stehlik said.

For the findings, published in the journal Circulation: Heart Failure, the researchers followed 100 heart failure patients, average age 68, who were diagnosed and treated at four veterans administration (VA) hospitals in Utah, Texas, California, and Florida.

After discharge, participants wore an adhesive sensor patch on their chests 24 hours a day for up to three months.

The sensor monitored continuous electrocardiogram (ECG) and motion of each subject.

This information was transmitted from the sensor via Bluetooth to a smartphone and then passed on to an analytics platform, developed by PhysIQ, on a secure server, which derived heart rate, heart rhythm, respiratory rate, walking, sleep, body posture and other normal activities.

Using artificial intelligence, the analytics established a normal baseline for each patient. When the data deviated from normal, the platform generated an indication that the patient's heart failure was getting worse.

Overall, the system accurately predicted the impending need for hospitalization more than 80 per cent of the time.

On average, this prediction occurred 10.4 days before a readmission took place (median 6.5 days), the study said.