Publications by authors named "Jinbo Kuang"

Article Synopsis
  • The study created a deep learning model to predict DNA mismatch repair status in colorectal cancer using whole-slide images.
  • The model was validated with over 400 images from various sources and utilized advanced techniques like domain adaptation and multiple instance learning.
  • It achieved high accuracy with a dual-threshold strategy, allowing over half of the patients to avoid unnecessary testing while maintaining excellent sensitivity and specificity.
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Background: Tumor-infiltrating lymphocytes (TILs) are clinically significant in triple-negative breast cancer (TNBC). Although a standardized methodology for visual TILs assessment (VTA) exists, it has several inherent limitations. We established a deep learning-based computational TIL assessment (CTA) method broadly following VTA guideline and compared it with VTA for TNBC to determine the prognostic value of the CTA and a reasonable CTA workflow for clinical practice.

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Objective: To assess the use of eye care and its predictors among diabetic patients in China.

Design: Cross-sectional, clinic-based study.

Participants: Diabetic patients 18 years of age or older were recruited consecutively from an urban tertiary and community hospitals and from a rural clinic in Guangdong, China.

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