Consultation In Applied Research Using Ai & ML @ Institute Of Bio Medical Engineering, Applied Research Using BigData in Public Health
Non Prejudicial Disclosure, Intellectual Property: Solution Design Using Ai in Bio Medical Engineering,
Date: May 18 - Dec 1 , 2022
Thretre: Development Country Applied Research: Ai in Public Health Care
Case 12: Omnicorn , Covid 19 & Lymphatic Immune system
Rheumatolog, Omnicorn Virology: Patient with COVID-19 & rhematic fever
Our patient is a 40 yr old male who has suffered rhematic fever ( as understood from his history developed from untreated strep throat caused by bacteria called group A streptococcus. ) , he has had antibiotics for over 20 yrs or more since the age of 11 , with WBC count greater than RBC.
The main symptoms -- fever, muscle aches, swollen and painful joints, and toncil / glands of Lymphatic Immune system
has fever 101 degree FH, headache with very frequent coughing. He has been vaccinated twice against covid-19 and is now identified with Covid-19 positive even after being twice vaccinated. Has quarantined for over 5+ days. We identified that he has been exposed to omnicorn.
Vitors 5600/Advia Centaur Xpt/Immulite 2000 XPi/Liaison / Maglumi 2000 Plus Random Access Immunoassay Analyzer,
Urised 3 and Labumat Urine Analyzer
Atellica Siemens Automated Analyzer
Vitros ECI /Advia Centaur XP/Architect I 1000 SR/Liaison Random Access
Checked Manually
Summary:
Thru A total immunology report presented via examination, We plan to research and find if the patient is suffering from Omnicorn.
We record data for special cased, patient damanged by properly untreated strep throat caused by bacteria group: A streptococcus.
Application of ML, Ai Research Bio Medical Engineering, Case Study Analysis:
Research & Development - Covid 19 & Lymphatic Immune system, Rheumatology
Damage Analysis:
For differential analysis and count, We plan to conduct the following tests to research on immune-mediated disorders of the musculoskeletal system, soft tissues, autoimmune diseases, vasculitides, and inherited connective tissue disorders due to exisitng symptoms of rhematic fever
Note: A3iNet is a hybrid Deep Learning HDNN, Neural Network Systems, applied to Complex Systems Of Systems' Scientific and Industrial Systems Integration as Solution enforced with Ai for Large Scale Enterprise Integration, LSSI, developed by Swedish World Wide & Aerovition Digital Inc..