Welcome to the

International Conference on Internet of Medical Things and Bioinformatics (ICIOMTB-26)

 20th September 2026  ||    Visakhapatnam, India  ||    Hybrid Mode
Proudly organized by the International Research & Conference Forum (IRCF)

Join global experts to present, connect, and innovate.

Conference Session Tracks

This ICIOMTB features a diverse range of session tracks designed to cover key research areas, emerging trends, and interdisciplinary innovations within the field of Bioinformatics.

Each track offers researchers, academicians, industry professionals, and practitioners a platform to present their work, exchange ideas, and explore the advancements shaping the future of the domain.

Aligned with the SDGs

UN Sustainable Development Goals

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, fostering 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

All Session Tracks

Browse every track scheduled for this conference.

01
Track

Advancements in Predictive Modeling for Healthcare

This track focuses on the latest methodologies in predictive modeling within the context of healthcare. Emphasis will be placed on supervised and unsupervised learning techniques that enhance patient outcomes.

02
Track

Deep Learning Applications in Bioinformatics

This session will explore the integration of deep learning algorithms in bioinformatics research. Participants will discuss innovative applications that drive insights from complex biological data.

03
Track

Anomaly Detection Techniques in Medical IoT

This track will cover the development and implementation of anomaly detection methods in Internet of Medical Things environments. The focus will be on ensuring patient safety and system reliability through advanced monitoring techniques.

04
Track

Feature Extraction Strategies for Bioinformatics Data

This session aims to highlight effective feature extraction techniques that facilitate the analysis of bioinformatics data. Researchers will present novel approaches that improve data interpretability and model performance.

05
Track

IoT Integration for Enhanced Healthcare Workflows

This track will examine the integration of IoT technologies in healthcare workflows to streamline processes and improve patient care. Discussions will include case studies and best practices for successful implementation.

06
Track

System Monitoring and Evaluation in Smart Healthcare

This session will focus on methodologies for system monitoring and evaluation in smart healthcare environments. Participants will share insights on maintaining system integrity and optimizing performance through real-time analytics.

07
Track

Industrial IoT and Predictive Maintenance in Healthcare

This track will address the role of industrial IoT in predictive maintenance strategies for healthcare equipment. The discussions will highlight the importance of resource allocation and operational efficiency.

08
Track

Digital Twin Technologies in Bioinformatics

This session will explore the application of digital twin technologies in the field of bioinformatics. Participants will discuss how these technologies can simulate biological processes and enhance research outcomes.

09
Track

Wearable Devices and Real-Time Health Monitoring

This track will focus on the advancements in wearable devices that enable real-time health monitoring. Researchers will present findings on the impact of these technologies on patient engagement and health management.

10
Track

Sensor Integration for Enhanced Data Collection

This session will delve into the strategies for effective sensor integration in medical IoT systems. The focus will be on improving data collection processes to support bioinformatics research.

11
Track

Workflow Automation in Bioinformatics Research

This track will discuss the role of workflow automation in streamlining bioinformatics research processes. Participants will explore tools and techniques that enhance productivity and data analysis efficiency.

Submit Your Abstract Register Now