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   1   REGIONAL CONFERENCE  onon                                           O r g a n i s e d   b y :
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   PRECISION HEALTH
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                       Abstracts for 1st Regional Conference on Precision Health (RCPH)
                                 15-16th April 2026, Royale Chulan Kuala Lumpur
           Colorectal Screening: Past, Present, and the Next Decade - From FIT to AI-
                         Assisted Colonoscopy and Blood-Based Biomarkers
                                              Professor Dr. Rungsun Rerknimitr
                                             Chulalongkorn University, Thailand
                                                      ABSTRACT
      Current CRC Burden in Thailand:
      Colorectal cancer remains a significant public health concern in Thailand, ranking among the top three
      cancers. With Thailand's population of 66 million and an aging demographic of 15 million individuals
      over  age  50,  the  screening  challenge  is  magnified  by  severe  resource  limitations:  fewer  than  1,000
      endoscopists serve the entire nation, creating a critical bottleneck in screening capacity.
      Practical Two-Step Screening Strategy:
      For  resource-limited  settings  like  Thailand,  a  pragmatic  two-step  approach  is  more  feasible  than
      immediate  colonoscopy.  Risk  Stratification  :  The  Asia-Pacific  Colorectal  Screening  (APCS)  score
      identifies  high-risk  individuals  based  on  age,  gender,  family  history,  and  smoking  status,  enabling
      prioritization of colonoscopy resources. FIT-Based Triage : Quantitative FIT at a cutoff of 150 ng/mL
      optimizes  detection  rates  while  managing  endoscopy  capacity,  achieving  78.6%  sensitivity  for
      colorectal cancer and 17.5% for advanced neoplasia. This combination of clinical risk scoring with FIT
      creates  a  synergistic  effect,  significantly  improving  detection  efficiency  and  reducing  unnecessary
      procedures.
      AI-Assisted Colonoscopy: CADe and CADx:
      Artificial intelligence technologies are revolutionizing colonoscopy quality:
      Computer-Aided  Detection  (CADe)  improves  adenoma  detection  rates,  particularly  benefiting  less
      experienced  endoscopists.  Studies  demonstrate  that  AI-assisted  systems  significantly  enhance
      detection even  among  highly  skilled  practitioners. Computer-Aided  Diagnosis  (CADx)  predicts polyp
      histology  in  real-time,  enabling  the  "leave-in-situ"  or  "resect-and-discard"  approach  for  diminutive
      lesions. This supports the Preservation and Incorporation of Valuable Endoscopic Innovations (PIVI)
      protocol,  reducing  unnecessary  procedures  while  maintaining  diagnostic  accuracy.Blood-Based
      Biomarkers and Emerging Technologies.
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