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: Jun 23, 2021
Thretre: Development Country Applied Research: Ai in Public Health Care
Our case study commences with a set of patients with ALT (SGPT) higher reading ,near to almost double in figure, from upper bound of U/L for male patients. We hypothesis that ALT enzyme has leaked from liver as a result of liver damage.
To measure further damages, we analyze hs CRP(C-reactive protein), and Creatinine serum, which demonstrated a normal within range test data.
We carryout the analysis using Atellica Siemens Automated analyzer for the above sample.
We further move to conduct analysis using Hematology Autoanalyzer (Sysmex XN -2000) and Re-checked Manually. The test results for Hemoglobin , and ESR,
We also conduct total blood count for the blood cells and platelets(WBC RBC Platelets ) and find normal count within ranges for male patient.
For differential count we find the following blood cell count within normal range, For Neutrophil, Lymphocyte, Monocyte, Eosinophil, Basophil
For absolute Indices we find the following within range:
PCV(HCT), MCV, MCH, MCHC, RDW-CV, RDW-SD
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 find patient suffering from some degree of liver damage that may arise from Hepatitis A,B, C infection or corona virus infection. We move to corona virus and Hepatitis (A,B,C) tests
Application of ML, Ai Research Bio Medical Engineering, Case Study Analysis:
Research & Development - Liver Cancer, TF, Blood Cell count and Activation Status for B , T, NK -Lymphocyte
FT4 and TSH
We conduct Casts/LPF investigation for Epithelial Granular, hyaline and Cellular and results returned Not Found/LPF
For chemical examination, we conduct tests on Sp. Gravity, Reaction(PH),Protein, Sugar, Ex. Phosphate, Bile Salt, Bile Pigment, Ketones body, Urobilinogen (+), Bilirubin (+) tests and find them in Nil
For FT4 and TSH we conduct test in Vitros ECI/Advia Centaur XP/Architect I 1000 SR/ Liaison Random Access And Manually check and find the test values within the reference values respectively conducting no thyroid infection halting B cell activation.
We further conduct a TSH test in Atellica Siemens Automated analyzer and find the figure mlU/L near the upper boundary of the reference value; We conduct a diabetes test RBS and find the test value below the reference value that the patients did not suffer for Type 1 or type 2 diabetes.
We conducted a complete urine analysis, CUA using Automated urine analyzer Urised 3 and Labumat for physical examination for quality, color, appearance, sediment and find no risk factors.
For Microscopic examination, we seek presence of Pus Cell 1-2 /HPF /HPF for urinary track infection (<4) and Epithelial Cells 1-3 /HPF /HPF (<5) and no RBC, Spermatozoa, Mucus Threads , Yeast , Crystal or Casts.
We record Collected test results in Big Data to advance preventative medicine, for strain specific model establishment for mutation analysis.
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..