International Conference on Computational Approaches for Diabetes - (ICCAFD-26)


30th - 1st October, 2026 | Greater Sudbury, Canada

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

31st August, 2026

Paper Submission Deadline

5th September, 2026

Last Date Of Registration

15th September, 2026

Date Of Conference

30th - 1st October, 2026

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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 8 SDG 8 — Decent Work and Economic Growth
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
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All Session Tracks

Track 01
Innovative Diagnostic Approaches in Diabetes

This track focuses on the latest advancements in diagnostic methodologies for diabetes, emphasizing clinical applications and patient outcomes. Participants will explore novel biomarkers and technologies that enhance early detection and monitoring of diabetes.

Track 02
Diabetes Management Strategies and Interventions

This session will cover comprehensive management strategies for diabetes, including lifestyle modifications, pharmacological treatments, and patient education. Emphasis will be placed on personalized approaches and the integration of technology in diabetes care.

Track 03
Complications of Diabetes: Mechanisms and Management

This track addresses the various complications associated with diabetes, including cardiovascular, renal, and neuropathic issues. Discussions will focus on the underlying mechanisms and innovative management strategies to mitigate these complications.

Track 04
Computational Models in Diabetes Research

This session will highlight the application of computational models and simulations in understanding diabetes pathophysiology. Researchers will present their findings on how these models can inform treatment strategies and improve patient outcomes.

Track 05
Advancements in Diabetes Treatment Technologies

This track will showcase cutting-edge technologies for diabetes treatment, including insulin delivery systems, continuous glucose monitoring, and artificial pancreas systems. Participants will discuss the implications of these technologies on patient management and quality of life.

Track 06
Regulatory and Economic Considerations in Diabetes Research

This session will explore the regulatory landscape and economic factors influencing diabetes research and treatment development. Experts will discuss the challenges and opportunities in bringing innovative therapies to market.

Track 07
Immunological Perspectives in Diabetes Pathogenesis

This track will delve into the immunological mechanisms underlying diabetes, focusing on autoimmunity and the role of immune cells in disease progression. Researchers will present insights into potential immunotherapeutic strategies for diabetes management.

Track 08
Biomarkers in Diabetes: Discovery and Application

This session will focus on the identification and application of biomarkers for diabetes diagnosis, prognosis, and treatment response. Discussions will include the potential of biomarkers in personalizing diabetes care.

Track 09
Beta Cell Biology and Immune Interactions

This track will explore the intricate relationship between beta cell function and immune responses in diabetes. Researchers will discuss findings related to beta cell preservation and regeneration as therapeutic targets.

Track 10
Experimental Approaches in Diabetes Therapy

This session will highlight experimental therapies for diabetes, including novel pharmacological agents and gene therapies. Participants will discuss the latest research findings and their potential clinical applications.

Track 11
Patient-Oriented Case Management in Endocrinology

This track will emphasize patient-centered approaches in the management of diabetes within endocrinology. Case studies will illustrate successful strategies for engaging patients in their care and improving health outcomes.