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A Russian father and son's Ice Age scheme to slow a Siberian thaw

In one of the planet’s coldest places, 130km south of Russia’s Arctic coast, scientist Sergey Zimov can find no sign of permafrost as global warming permeates Siberia’s soil.
As everything from mammoth bones to ancient vegetation frozen inside it for millennia thaws and decomposes, it threatens to release vast amounts of greenhouse gases.
Zimov, who has studied permafrost from his scientific base in the diamond-producing Yakutia region for decades, is seeing the effects of climate change in real time.
Driving a thin metal pole meters into the Siberian turf, where temperatures are rising at more than three times the world average, with barely

Yakutia , Sakha-yakutiya- , Russia , Kolyma , Russia-general- , Denmark , Soviet , Maxim-shemetov , Sergey-zimov , Alexander-fedorov , Tom-balmforth , Nikita-zimov

New AI-assisted method could help counter COVID-19 mutations


New AI-assisted method could help counter COVID-19 mutations
USC researchers have developed a new method to counter emergent mutations of the coronavirus and hasten vaccine development to stop the pathogen responsible for killing thousands of people and ruining the economy.
Using artificial intelligence (AI), the research team at the USC Viterbi School of Engineering developed a method to speed the analysis of vaccines and zero in on the best potential preventive medical therapy.
The method is easily adaptable to analyze potential mutations of the virus, ensuring the best possible vaccines are quickly identified -- solutions that give humans a big advantage over the evolving contagion. Their machine-learning model can accomplish vaccine design cycles that once took months or years in a matter of seconds and minutes, the study says.

United-kingdom , United-states , South-africa , Brazil , Paul-bogdan , Emily-henderson , Pfizer , Nature-research-scientific , National-center , Viterbi-school-of-engineering , Corresponding-author , Associate-professor

New AI tool can thwart coronavirus mutations


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USC researchers have developed a new method to counter emergent mutations of the coronavirus and hasten vaccine development to stop the pathogen responsible for killing thousands of people and ruining the economy.
Using artificial intelligence (AI), the research team at the USC Viterbi School of Engineering developed a method to speed the analysis of vaccines and zero in on the best potential preventive medical therapy.
The method is easily adaptable to analyze potential mutations of the virus, ensuring the best possible vaccines are quickly identified -- solutions that give humans a big advantage over the evolving contagion. Their machine-learning model can accomplish vaccine design cycles that once took months or years in a matter of seconds and minutes, the study says.

United-kingdom , United-states , South-africa , Brazil , Shahin-nazarian , Zikun-yang , Paul-bogdan , Nature-research-scientific , National-center , Viterbi-school-of-engineering , Ming-hsieh-department-of-electrical , National-science-foundation

Award-Winning Bioengineering Grad Student Has Sense for Medical Innovation

Award-Winning Bioengineering Grad Student Has Sense for Medical Innovation
utdallas.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from utdallas.edu Daily Mail and Mail on Sunday newspapers.

United-states , India , Texas , California , California-institute-of-technology , San-diego , Dallas , University-of-texas , American , Danielle-clark , Subramanian-krishnan , Ambalika-tanak

Automated analysis of routine ECG detects cardiac problems


Automated analysis of routine ECG detects cardiac problems
Researchers say their method shows “unprecedented accuracy in the interpretation of numerous ECG results and delivers a diagnosis of different cardiac disorders simultaneously.”
Prof. Yael Yaniv and her research team. Photo courtesy of Technion Spokesperson’s Office
Technion-Israel Institute of Technology researchers have developed a way to detect heart problems based on routine electrocardiography (ECG).
They have also built a database and an analytic tool to provide an automated diagnosis of eight common types of heart disease, quickly and with unprecedented accuracy.
ECG is the most common test of heart function. The noninvasive exam measures the electrical signals generated by the heart muscle tissue through electrodes placed in 12 locations on the skin.

Russia , Moscow , Moskva , Israel , Russian , Arutyun-avetisyan , Vladimir-markov , Assaf-schuster , Vadim-gliner , Yael-yaniv , Nature-research-scientific , Russian-academy-of-sciences