Hybrid Conferencee

International Conference on Genetic Epidemiology (IC-GE - 26)

28th - 29th November 2026 | Abu Dhabi, UAE

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Abu Dhabi conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Abu Dhabi, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Abu Dhabi."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Genetic Epidemiology

This track focuses on the latest methodologies and technologies in genetic epidemiology. It aims to explore how these advancements can enhance our understanding of disease mechanisms and risk factors.

Track 02

Public Health Implications of Genetic Research

This session will examine the intersection of genetic research and public health strategies. Discussions will highlight how genetic insights can inform public health policies and interventions.

Track 03

Disease Prevention through Genetic Insights

This track will explore the role of genetic epidemiology in disease prevention strategies. It will emphasize the importance of understanding genetic predispositions in developing targeted prevention programs.

Track 04

Health Policy and Genetic Epidemiology

This session will address the implications of genetic epidemiological findings on health policy formulation. Participants will discuss how genetic data can shape health policy decisions and resource allocation.

Track 05

Innovations in Disease Surveillance

This track will focus on innovative approaches to disease surveillance using genetic epidemiology. It will cover the integration of genomic data into traditional surveillance systems to enhance disease tracking and response.

Track 06

Biostatistical Methods in Genetic Epidemiology

This session will delve into advanced biostatistical techniques applicable to genetic epidemiological studies. It aims to provide insights into data analysis methods that can improve the interpretation of genetic data.

Track 07

Genomics and Health Systems

This track will explore the integration of genomics into health systems and its implications for patient care. Discussions will focus on how genomic information can enhance health system efficiency and effectiveness.

Track 08

Healthcare Innovation through Genetic Epidemiology

This session will highlight innovative healthcare solutions driven by genetic epidemiological research. It will showcase case studies where genetic insights have led to novel healthcare practices and technologies.

Track 09

Ethical Considerations in Genetic Epidemiology

This track will address the ethical implications of conducting genetic epidemiological research. Participants will engage in discussions about consent, privacy, and the responsible use of genetic data.

Track 10

Population Genetics and Disease Dynamics

This session will examine the role of population genetics in understanding disease dynamics. It will focus on how genetic diversity within populations influences disease susceptibility and transmission.

Track 11

Translational Research in Genetic Epidemiology

This track will explore the translation of genetic epidemiological findings into clinical practice. It aims to bridge the gap between research and application, highlighting successful case studies and future directions.