Login Register

DEMO CON 2026 - NeuCitePress Biomedical Research Conference

Jun 20 – 22, 2026
India International Centre, New Delhi
Asia/Kolkata timezone

Contribution List

4 out of 4 displayed
  1. 11. Bayesian Adaptive Trial Design for Rare Pediatric Neurological Disorders
    Wei Chen (Peking University Health Science Center, Beijing)
    Poster Presentation
    Poster Session & Networking

    Background: Conventional RCTs infeasible for rare pediatric neurological disorders.

    Objective: Develop Bayesian adaptive framework for Dravet syndrome gene therapy trials.

    Methods: Response-adaptive randomization, Bayesian hierarchical models, external control borrowing. 10,000 simulations per scenario.

    Results: Sample size reduced 38%, type I error controlled at 2.5%. Power 87% with 60...

    Go to contribution page
  2. 10. Community Health Worker-Led Hypertension Management in Sub-Saharan Africa: Cluster Randomized Controlled Trial
    Chukwuma Okafor (University of Lagos College of Medicine, Nigeria)

    Background: Hypertension affects 200M+ adults in sub-Saharan Africa, control rates below 10%.

    Objective: Evaluate CHW-led task-shifting for hypertension management in Nigeria and Ghana.

    Methods: Cluster-RCT, 42 centers, 3,847 patients, 18 months. CHW-led BP monitoring, adherence counseling, lifestyle coaching.

    Results: SBP reduction 12.4 vs 4.2 mmHg (p<0.001). Control rates 42.1% vs 18.7%...

    Go to contribution page
  3. 9. Epigenetic Modifications in Circulating Tumor DNA as Prognostic Biomarkers for Triple-Negative Breast Cancer
    Wei Chen (Peking University Health Science Center, Beijing)

    Background: TNBC accounts for 15-20% of breast cancers with aggressive behavior and poor prognosis.

    Objective: To identify epigenetic modifications in ctDNA as non-invasive prognostic biomarkers.

    Methods: Genome-wide methylation profiling of ctDNA from 245 TNBC patients using bisulfite sequencing, 36-month follow-up.

    Results: 12 DMRs predicted PFS (HR=3.42, p<0.001). Methylation signature...

    Go to contribution page
  4. 8. Machine Learning-Based Early Detection of Diabetic Retinopathy Using Fundus Imaging: A Multi-Center Validation Study
    Priya Sharma (All India Institute of Medical Sciences (AIIMS), New Delhi)

    Background: Diabetic retinopathy affects approximately 103 million people worldwide. Early detection is critical, yet many healthcare systems lack sufficient ophthalmologists.

    Objective: To develop and validate a deep learning model for automated detection of referable DR from fundus photographs.

    Methods: Trained EfficientNet-B4 on 128,457 images, validated on 15,832 from three independent...

    Go to contribution page