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A machine-learning approach to track how yellow fever mosquito moves through the environment


A machine-learning approach to track how yellow fever mosquito moves through the environment
The yellow fever mosquito (
Aedes aegypti) is a main vector of deadly diseases like dengue fever, chikungunya, and the Zika virus, which result in hundreds of thousands of deaths worldwide each year. Because
Ae. aegypti prefers to bite humans and there are no vaccines for many of these diseases they carry, developing methods to control these insects is imperative in the fight to control illness.
In a study recently published in
Proceedings of the National Academy of Sciences, a Yale-led research team developed a new method to track how ....

United States , Giuseppe Amatulli , Norah Saarman , Adalgisa Caccone , Jeffrey Powell , Evlyn Pless , Emily Henderson , Department Of Ecology , University Of California , Proceedings Of The National Academy Sciences , Yale School Of The Environment , Utah State University , Research Computing , Yale Department Of Ecology , National Academy , Yale School , Evolutionary Biology , Dengue Fever , Yellow Fever , Zika Virus , ஒன்றுபட்டது மாநிலங்களில் , ஜெஃப்ரி போவல் , எமிலி ஹென்டர்சன் , துறை ஆஃப் சூழலியல் , பல்கலைக்கழகம் ஆஃப் கலிஃபோர்னியா , யேல் பள்ளி ஆஃப் தி சூழல் ,

Study explores individual differences of SARS-CoV-2 infection in ACE2-expressing stem cells


Study explores individual differences of SARS-CoV-2 infection in ACE2-expressing stem cells
The clinical phenotype of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is remarkable for its wide range of severity among individual patients. Genetic variations are known to mediate part of these differences.
To examine these differences, researchers in a new study used human induced pluripotent stem cells (iPSCs) from different genetically diverse individuals. These cells are used to model genetic disease since they contain the donor’s genetic information.
The study, published as a preprint on the
bioRxiv server, uses a panel of iPSCs from over 500 individuals. The researchers preferred undifferentiated iPSCs to reduce the time required to differentiate them, especially since infection is not always reliable. ....

Liji Thomas , Image Credit , Sars Cov 2 , Stem Cells , Angiotensin Converting Enzyme 2 , Cell Membrane , Corona Virus , Genetic Information , Induced Pluripotent Stem Cells , Severe Acute Respiratory , Severe Acute Respiratory Syndrome , படம் கடன் , தண்டு செல்கள் , செல் சவ்வு , கொரோனா வைரஸ் , ஜெநெடிக் தகவல் , கடுமையானது எடுப்போசை சுவாச , கடுமையானது எடுப்போசை சுவாச நோய்க்குறி ,