Technological Innovation for Cancer Risk Reduction and Detection - Agenda

Registration and Networking

Opening Remarks by UDST

Welcome Remarks by QCS

1. Describe the role of the IARC Handbooks in evaluating evidence-based strategies for cancer prevention.
2. Explain how the IARC Handbooks systematically assess lifestyle, behavioral, and environmental factors that influence cancer risk.
3. Identify key evidence-based recommendations from recent IARC Handbook volumes and their relevance to national cancer prevention programs.
4. Discuss how global evidence from the IARC Handbooks can inform policy development and public health decision-making.

1. Gain insight into the cancer burden and key trends in Qatar.
2. Understand how technology supports Qatar Cancer Plan 2023–2026.
3. Outline the five key technological enablers across the cancer continuum.
4. Recognize how digital tools improve prevention, diagnosis, treatment, and research.
5. Highlight the role of governance and partnerships in sustaining digital transformation.

10:10– 10:20

Appreciation

10:20– 10:30

Break

1. Describe the role of the World Health Organization (WHO) in global cancer prevention, early detection, and control efforts.
2. Explain the global and regional cancer burden, including key trends, challenges, and priority populations.
3. Summarize WHO guidance and major global initiatives on cancer, including strategies that support countries in strengthening cancer control programs.
4. Analyze the rationale for prioritizing women’s cancers, with emphasis on burden, preventability, and health system impact.
5. Discuss regional actions and emerging perspectives that inform future directions for cancer prevention and control within the Eastern Mediterranean Region.

1. Recognize the epidemiological trends and key risk factors associated with oral cavity cancer in Qatar and the wider GCC region.
2. Understand the expanding role of dental hygienists in early detection, risk assessment, and patient education for oral cancer prevention.
3. Explore how artificial intelligence (AI) technologies, such as predictive modeling, image analysis, and clinical decision support systems can enhance oral screening and diagnostic accuracy.
4. Evaluate practical strategies for integrating AI-assisted screening tools into dental hygiene practice, education, and community outreach programs.
5. Contribute to Qatar’s national cancer prevention and health-promotion strategies by aligning dental hygiene practices with innovative, evidence-based, and technology-driven care models.

Lunch/Prayer/ Poster Exhibit & Networking

Student Innovators for Cancer Risk Prevention and Early Detection

1. Overview of cancer's worldwide impact highlighting the need for effective detection and treatment strategies.
2. Exploring how artificial intelligence enhances medical diagnosis, treatment, and patient care.
3. Application of AI in breast cancer screening to improve early detection and accuracy.
4. Insights into the national screening program and PHCC’s experience with AI integration.

1. Define hereditary cancer.
2. Describe the prevalence of hereditary cancer.
3. Explain the importance of detecting hereditary cancer syndromes for early diagnosis, targeted prevention, and improved clinical outcomes.
4. Analyze case studies to identify patterns of hereditary cancer, assess risk, and apply evidence-informed decision-making for screening and prevention.

1. Understand immune evasion mechanisms particularly the PD-1/PD-L1 axis
2. Recognize the immunobiology of Cancer-Testis Antigens (CTAs) such as NY-ESO-1
3. Explore immunotherapeutic targeting strategies including anti-PD-1/PD-L1 blockade and NY-ESO-1–directed therapies
4. Interpret immune monitoring and biomarker dynamics (humoral and cellular immune responses)
5. Assess translational and clinical implications: case-based evidence on head and neck and gastric cancers.
6. Identify novel directions in precision immuno-oncology: role of soluble immune mediators and HLA-restricted peptide mapping in advancing precision immunooncology.

1. Describe the health risks and carcinogenic properties of formaldehyde as identified in current scientific literature.
2. Identify historical and current practices in healthcare settings related to the use and handling of formaldehyde.
3. Recognize the categories of healthcare personnel and environments most at risk of formaldehyde exposure.
4. Explain the regulatory standards and occupational exposure limits governing formaldehyde use in healthcare.
5. Discuss recent innovations and technologies aimed at minimizing cancer risk associated with formaldehyde use.
6. Evaluate and apply practical control measures to reduce formaldehyde exposure in healthcare settings.

Coffee Break

Panel Discussion with QCS

Moderator: Dr. Hadi Abu Rasheed, Scientific Advisor – Qatar Cancer Society

• Ms. Heba Nassar, Head of Community Awareness Department – Qatar Cancer Society
• Ms. Dana Mansour, Head of Psychosocial Support Department – Qatar Cancer Society
• Mr. Tahir Abulubbad, IT Team Lead – Qatar Cancer Society

1. Review our current understanding of cancers, (treatment and outcomes)
2. A brief overview of cancer genomics especially in relation to pediatric tumors
3. Discuss the updates on recent changes in the diagnostic nomenclature based on genetic information
4. Discuss some of the rapidly developing personalized treatment options

1. Understand and explain the impact of digital technologies, AI, robotics, and virtual care on nursing practice, cancer care delivery, and patient outcomes
2. Analyze and evaluate the ethical, practical, and organizational considerations in adopting AI and technology innovations in nursing practice
3. Apply and demonstrate nursing leadership and professional competencies to integrate AI-driven tools and technology innovations into nursing education.

1. Describe key standards and best practices for model implementation, validation, and reporting in applied AI systems.
2. Explain the principles of Responsible AI and evaluate how ethical, legal, and societal considerations guide AI development and deployment.
3. Apply concepts of model monitoring and MLOps to ensure continuous performance, reliability, and governance of AI models in real-world environments.

Announcement of Award for Best Posters