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Geisinger researchers find AI can predict death risk

Researchers at Geisinger have found that a computer algorithm developed using echocardiogram videos of the heart can predict mortality within a year.
The algorithm an example of what is known as machine learning, or artificial intelligence (AI) outperformed other clinically used predictors, including pooled cohort equations and the Seattle Heart Failure score. ....

United States , Chris Haggerty , Alvaro Ulloa Cerna , Geisinger Health Plan , Department Of Translational Data Science , Pennsylvania Department Of Health , Seattle Heart Failure , Nature Biomedical , Translational Data Science , Pennsylvania Department , Biomedical Environmental Chemical Engineering , Algorithms Models , Medicine Health , Death Dying , Mortality Longevity , Robotry Artificial Intelligence , ஒன்றுபட்டது மாநிலங்களில் , கிறிஸ் க்கேர்த்தி , அல்வாரோ யூலோவ சிஇஆர்என்ஏ , கேய்சிங்கேர் ஆரோக்கியம் திட்டம் , துறை ஆஃப் மொழிபெயர்ப்பு தகவல்கள் அறிவியல் , பென்சில்வேனியா துறை ஆஃப் ஆரோக்கியம் , சீட்டில் இதயம் தோல்வி , இயற்கை உயிர் மருத்துவ , மொழிபெயர்ப்பு தகவல்கள் அறிவியல் , பென்சில்வேனியா துறை ,

Repeated testing for COVID-19 is vital, economic and public health analysis shows


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As a new presidential administration takes steps to examine options to control the spread of COVID-19 through increased testing, epidemiologists at The University of Texas at Austin and other institutions have a new analysis that shows the value of having all people in the U.S. tested on a regular, rotating basis to slow the spread of the novel coronavirus and the loss of life from COVID-19. The team s model is outlined in a paper published online today in
The Lancet Public Health.
With the introduction of accurate and inexpensive rapid tests, researchers say there is an optimal testing schedule that minimizes costs as well as the loss of life and economic damage from hospitalizations and quarantine in different regions, based on the rate at which the virus is spreading. ....

United States , Pastorey Piontti , Matteo Chinazzi , Alessandro Vespignani , Abhishek Pandey , Meaganc Fitzpatrick , Lauren Ancel Meyers , Benjaminj Cowling , Alisonp Galvani , Michael Lachmann , Yale University , Modeling Consortium , Us Centers For Disease , University Of Maryland , National Institutes Of Health , Lancet Public Health , University Of Hong Kong , University Of Texas At Austin , Northeastern University , Yale School Of Public Health , Santa Fe Institute , Lancet Public , National Institutes , Disease Control , Yale School , Public Health ,

New AI tool can thwart coronavirus mutations


 E-Mail
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 , Shahin Nazarian , Zikun Yang , Paul Bogdan , Nature Research Scientific , National Center , Viterbi School Of Engineering , Ming Hsieh Department Of Electrical , National Science Foundation , Defense Advanced Research Projects Agency , Us Army Research Office , Northrop Grumman , Nature Research , Immune Epitope Database , Virus Pathogen Resource , Ming Hsieh Department , Computer Engineering , Career Award , Research Office , Young Faculty Award , Director Award , Algorithms Models , Clinical Trials , Infectious Emerging Diseases ,

South Africa: the rising temperatures will cost up to 20% of per capita GDP


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Temperature rise due to climate change has negatively affected labour productivity in the past decades and will keep damaging it, potentially at a higher extent than what has been estimated in the literature up to now. In South Africa, a future scenario with severe climate change will feature a reduction of per capita GDP of up to 20% by the end of the century, compared to an idealized future without the impacts of a changing climate.
This is what emerges from the study Climate change and development in South Africa: the impact of rising temperatures on economic productivity and labour availability , coordinated by the CMCC Foundation and RFF-CMCC European Institute on Economics and the Environment (EIEE) and conducted in collaboration with the Athens University of Economics and Business, recently published in the Journal ....

South Africa , South African , Shouro Dasgupta , Soheil Shayegh , European Institute On Economics , Athens University Of Economics , Athens University , Journal Climate , Overlapping Generations , Business Economics , Algorithms Models , Social Behavioral Science , Developing Countries , Poverty Wealth , Climate Change , ஐரோப்பிய நிறுவனம் ஆன் பொருளாதாரம் , ஏதென்ஸ் பல்கலைக்கழகம் ஆஃப் பொருளாதாரம் , ஏதென்ஸ் பல்கலைக்கழகம் , இதழ் காலநிலை , வணிக பொருளாதாரம் , சமூக நடத்தை அறிவியல் , வளரும் நாடுகள் , பாவர்டீ செல்வம் , காலநிலை மாற்றம் ,