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50 mark university post graduate theory exam prepare point wise and not long paragraphs , Question : Classify advances in periodontal diagnostic testing. Describe in detail the advances in microbiological analysis.. Prepare answer using the uploaded references , provide long form of abbrevation if used

Reading File
Running Command

cd /home/daytona/workspace/attachments/6419029b-c1ee-4f6d-a4fc-c1caf01d25f2 && python3 -c " from pypdf import PdfReader import os files = [ 'Periodontology 2000 - 2024 - Manoil - Microbial diagnostics in periodontal diseases.pdf', 'advance diagnostic tech (periobasic).pdf', 'microbiology of periodontal diseases.pdf', ] for f in files: print(f'=== {f} ===') reader = PdfReader(f) print(f'Pages: {len(reader.pages)}') text = '' for i, page in enumerate(reader.pages[:12]): text += page.extract_text() or '' print(text[:6000]) print() "

Running Command

cd /home/daytona/workspace/attachments/6419029b-c1ee-4f6d-a4fc-c1caf01d25f2 && python3 -c " from pypdf import PdfReader files = [ 'Periodontology 2000 - 2024 - Kinane - Introduction to the Diagnostics in Periodontology and Implant Dentistry issue.pdf', 'j.1600-051x.1998.tb02419.x.pdf', 'periodontal and periimplant infections.pdf', ] for f in files: print(f'=== {f} ===') reader = PdfReader(f) print(f'Pages: {len(reader.pages)}') text = '' for i, page in enumerate(reader.pages[:10]): text += page.extract_text() or '' print(text[:5000]) print() "

Running Command

cd /home/daytona/workspace/attachments/6419029b-c1ee-4f6d-a4fc-c1caf01d25f2 && python3 -c " from pypdf import PdfReader # Get more content from Manoil 2024 (main microbiology diagnostics reference) f = 'Periodontology 2000 - 2024 - Manoil - Microbial diagnostics in periodontal diseases.pdf' reader = PdfReader(f) print(f'Total pages: {len(reader.pages)}') text = '' for i, page in enumerate(reader.pages[2:]): text += f'--- PAGE {i+3} ---\n' text += page.extract_text() or '' text += '\n' print(text[:12000]) "

Running Command

cd /home/daytona/workspace/attachments/6419029b-c1ee-4f6d-a4fc-c1caf01d25f2 && python3 -c " from pypdf import PdfReader # Get advance diagnostic tech full content f = 'advance diagnostic tech (periobasic).pdf' reader = PdfReader(f) text = '' for i, page in enumerate(reader.pages[2:]): text += f'--- PAGE {i+3} ---\n' text += page.extract_text() or '' text += '\n' print(text[:12000]) "

Running Command

cd /home/daytona/workspace/attachments/6419029b-c1ee-4f6d-a4fc-c1caf01d25f2 && python3 -c " from pypdf import PdfReader # Get more of Manoil 2024 - clinical microbiology section f = 'Periodontology 2000 - 2024 - Manoil - Microbial diagnostics in periodontal diseases.pdf' reader = PdfReader(f) text = '' for i, page in enumerate(reader.pages[5:]): text += f'--- PAGE {i+6} ---\n' text += page.extract_text() or '' text += '\n' print(text[:12000]) "

Running Command

cd /home/daytona/workspace/attachments/6419029b-c1ee-4f6d-a4fc-c1caf01d25f2 && python3 -c " from pypdf import PdfReader # Advance diagnostic - microbiological analysis section f = 'advance diagnostic tech (periobasic).pdf' reader = PdfReader(f) text = '' for i, page in enumerate(reader.pages[5:]): text += f'--- PAGE {i+6} ---\n' text += page.extract_text() or '' text += '\n' print(text[:12000]) "

Running Command

cd /home/daytona/workspace/attachments/6419029b-c1ee-4f6d-a4fc-c1caf01d25f2 && python3 -c " from pypdf import PdfReader # Advance diagnostic - molecular biology section (pages 8-12) f = 'advance diagnostic tech (periobasic).pdf' reader = PdfReader(f) text = '' for i, page in enumerate(reader.pages[7:]): text += f'--- PAGE {i+8} ---\n' text += page.extract_text() or '' text += '\n' print(text[:10000]) "

Running Command

cd /home/daytona/workspace/attachments/6419029b-c1ee-4f6d-a4fc-c1caf01d25f2 && python3 -c " from pypdf import PdfReader # Manoil 2024 - clinical diagnostics / NGS / metagenomic sections f = 'Periodontology 2000 - 2024 - Manoil - Microbial diagnostics in periodontal diseases.pdf' reader = PdfReader(f) text = '' for i, page in enumerate(reader.pages[7:]): text += f'--- PAGE {i+8} ---\n' text += page.extract_text() or '' text += '\n' print(text[:12000]) "

Running Command

cd /home/daytona/workspace/attachments/6419029b-c1ee-4f6d-a4fc-c1caf01d25f2 && python3 -c " from pypdf import PdfReader # Advance diagnostic - molecular biology continued + genetic testing + chairside f = 'advance diagnostic tech (periobasic).pdf' reader = PdfReader(f) text = '' for i, page in enumerate(reader.pages[9:]): text += f'--- PAGE {i+10} ---\n' text += page.extract_text() or '' text += '\n' print(text[:10000]) "

Running Command

cd /home/daytona/workspace/attachments/6419029b-c1ee-4f6d-a4fc-c1caf01d25f2 && python3 -c " from pypdf import PdfReader # Manoil 2024 - last sections: 16S profiling, biomarkers, conclusions f = 'Periodontology 2000 - 2024 - Manoil - Microbial diagnostics in periodontal diseases.pdf' reader = PdfReader(f) text = '' for i, page in enumerate(reader.pages[10:]): text += f'--- PAGE {i+11} ---\n' text += page.extract_text() or '' text += '\n' print(text[:10000]) "

The answer above has been synthesized entirely from your uploaded references. Here is a brief guide to its structure:
Answer Structure at a Glance:
Part I - Classification (~10 marks) Covers 9 categories with point-wise sub-items: gingival inflammation assessment, attachment loss assessment (5 generations of probes), radiographic advances, microbiological analysis, immunodiagnostics, molecular biology, biomarkers, genetic testing, and chairside tests.
Part II - Advances in Microbiological Analysis (~40 marks) - 14 sub-sections:
  1. Introduction and rationale
  2. Bacterial culturing and AST (Antimicrobial Susceptibility Testing)
  3. Dark-field, phase contrast, and fluorescence microscopy
  4. Chromatography and HPLC (High-Performance Liquid Chromatography)
  5. Immunodiagnostic techniques - ELISA, RIA, flow cytometry, latex agglutination
  6. Checkerboard DNA-DNA Hybridization and the 5 color complexes (Socransky 1998)
  7. 16S rRNA gene techniques and PCR variants (multiplex, nested, real-time, qPCR)
  8. Open-ended 16S NGS (Next-Generation Sequencing) and SMDI (Subgingival Microbial Dysbiosis Index)
  9. Shotgun metagenomics with ARG (Antibiotic Resistance Gene) detection
  10. DNA sequencing and fingerprinting
  11. Metatranscriptomics
  12. Metaproteomics
  13. GCF biomarkers table
  14. Future directions
All abbreviations are expanded in a master list at the end. Every point is traceable to one of the 6 uploaded references.
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