Introducing Optomatica's Tech Tips & Hacks series, designed to help you leverage AI and machine learning for maximum impact!
Tip #1: Predictive Analytics for Better Decision Making Utilize AI to analyze past data and predict future trends.
Please have a look at the following discovery: red blood cells maintain self immune tolerance and explain the pathogenesis of diseases including cancers and others: https://t.co/hslQbNTINH
The only identifiable function of Red Blood Cells (RBCs) is the delivery of Oxygen.
we partially know that RBCs transport proteins and molecules.
The question is what are those proteins and molecules?
You can find the answer in: https://t.co/5RXw2x8bH4
AC chromatography separated #Sars-Cov2 spike peptides’Ags (patients' RBC hemolysate is depicted using PAGE picture below. Notice that the two normals have a very low-intensity band at the molecular weight (between 10 & 17), while patients show several bands between 10 & 55.
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Hypothesis IV:
#Immune-Resp. is the state where:
#ABs CONC in plasma against an #Ag in hemolysate is HIGHER than this #Ag CONC in hemolysate.
#Immune-Toler is the state where:
#ABs CONC in plasma against an #Ag in hemolysate is LOWER than this #Ag CONC in hemolysate.
#Immune-Tolerance is the state where:
Antibodies concentration in plasma against a particular antigen in hemolysate is LOWER than this antigen concentration in hemolysate.
Hypothesis IV:
#Immune-Response is the state where:
Antibodies concentration in plasma against a particular antigen in hemolysate is HIGHER than this antigen concentration in hemolysate.
Continue Hypothesis IV: