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Artificial intelligence helps identify new key-lock pairs against coronavirus

Artificial intelligence helps identify new key-lock pairs against coronavirus
The human immune defense is based on the ability of white blood cells to accurately identify disease-causing pathogens and to initiate a defense reaction against them. The immune defense is able to recall the pathogens it has encountered previously, on which, for example, the effectiveness of vaccines is based. Thus, the immune defense the most accurate patient record system that carries a history of all pathogens an individual has faced. This information however has previously been difficult to obtain from patient samples.
The learning immune system can be roughly divided into two parts, of which B cells are responsible for producing antibodies against pathogens, while T cells are responsible for destroying their targets. The measurement of antibodies by traditional laboratory methods is relatively simple, which is why antibodies already have several uses in healthcare. ....

Eteläuomen Läi , Satu Mustjoki , Emmi Jokinen , Md Jani Huuhtanen , Emily Henderson , University Of Helsinki , Machine Learning At Aalto University , Aalto University , Researchers At Aalto University , Milky Way , Computational Biology , Machine Learning , Artificial Intelligence , Immune System , Hepatitis B , எமிலி ஹென்டர்சன் , பல்கலைக்கழகம் ஆஃப் ஹெல்சின்கி , ஆல்டோ பல்கலைக்கழகம் , ஆராய்ச்சியாளர்கள் இல் ஆல்டோ பல்கலைக்கழகம் , பால் வழி , கணக்கீட்டு உயிரியல் , இயந்திரம் கற்றல் , செயற்கை உளவுத்துறை ,

Artificial intelligence model developed by Finnish researchers predicts which key of immune system opens locks of coronavirus

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Artificial intelligence model developed by Finnish researchers predicts which key of immune system opens locks of coronavirus
With an artificial intelligence (AI) method developed by researchers at Aalto University and University of Helsinki, researchers can now link immune cells to their targets and for example uncouple which white blood cells recognize SARS-CoV-2. The developed tool has broad applications in understanding the function of immune system in infections, autoimmune disorders, and cancer.
The human immune defense is based on the ability of white blood cells to accurately identify disease-causing pathogens and to initiate a defense reaction against them. The immune defense is able to recall the pathogens it has encountered previously, on which, for example, the effectiveness of vaccines is based. Thus, the immune defense the most accurate patient record system that carries a history of all pathogens an individual has faced. This informa ....

Eteläuomen Läi , Satu Mustjoki , Emmi Jokinen , Md Jani Huuhtanen , University Of Helsinki , Machine Learning At Aalto University , Aalto University , Researchers At Aalto University , Milky Way , Computational Biology , Machine Learning , பல்கலைக்கழகம் ஆஃப் ஹெல்சின்கி , ஆல்டோ பல்கலைக்கழகம் , ஆராய்ச்சியாளர்கள் இல் ஆல்டோ பல்கலைக்கழகம் , பால் வழி , கணக்கீட்டு உயிரியல் , இயந்திரம் கற்றல் ,

Artificial intelligence model predicts which key of the immune system opens the locks of coronavirus

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The human immune defense is based on the ability of white blood cells to accurately identify disease-causing pathogens and to initiate a defense reaction against them. The immune defense is able to recall the pathogens it has encountered previously, on which, for example, the effectiveness of vaccines is based. Thus, the immune defense the most accurate patient record system that carries a history of all pathogens an individual has faced. This information however has previously been difficult to obtain from patient samples.
The learning immune system can be roughly divided into two parts, of which B cells are responsible for producing antibodies against pathogens, while T cells are responsible for destroying their targets. The measurement of antibodies by traditional laboratory methods is relatively simple, which is why antibodies already have several uses in healthcare. ....

Eteläuomen Läi , Satu Mustjoki , Emmi Jokinen , Md Jani Huuhtanen , University Of Helsinki , Machine Learning At Aalto University , Aalto University , Researchers At Aalto University , Milky Way , Computational Biology , Machine Learning , பல்கலைக்கழகம் ஆஃப் ஹெல்சின்கி , ஆல்டோ பல்கலைக்கழகம் , ஆராய்ச்சியாளர்கள் இல் ஆல்டோ பல்கலைக்கழகம் , பால் வழி , கணக்கீட்டு உயிரியல் , இயந்திரம் கற்றல் ,