Hybrid Conferencee

International Conference on Molecular Diagnostics and Engineering Technologies (ICMDET - 26)

4th - 5th September 2026 | Almaty, Kazakhstan

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Almaty. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Almaty event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Almaty conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Almaty, 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 Almaty."
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 Molecular Diagnostics Technologies

This track focuses on the latest innovations in molecular diagnostics, emphasizing the integration of engineering principles. Participants will explore novel diagnostic devices and methodologies that enhance accuracy and efficiency in clinical settings.

Track 02

Predictive Modeling in Biotechnology

This session will delve into the application of predictive modeling techniques in biotechnology, highlighting their role in improving diagnostic outcomes. Discussions will include supervised and unsupervised learning approaches tailored for biological data.

Track 03

Deep Learning Applications in Molecular Diagnostics

This track will examine the transformative impact of deep learning algorithms on molecular diagnostics. Researchers will present case studies showcasing how these technologies enhance diagnostic accuracy and workflow automation.

Track 04

Anomaly Detection in Biomedical Systems

This session will address the critical role of anomaly detection techniques in monitoring biomedical systems. Participants will discuss methodologies for identifying deviations in diagnostic processes and their implications for patient safety.

Track 05

Feature Extraction Techniques in Biotechnology

This track will explore advanced feature extraction methods that facilitate the analysis of complex biological data. The focus will be on techniques that enhance model performance in predictive diagnostics.

Track 06

Workflow Automation in Laboratory Settings

This session will highlight innovations in workflow automation that streamline laboratory processes. Participants will discuss the integration of engineering technologies to enhance efficiency and reduce human error in diagnostics.

Track 07

Industrial IoT in Molecular Diagnostics

This track will explore the intersection of industrial IoT and molecular diagnostics, focusing on how connected devices can improve monitoring and data collection. Discussions will include case studies demonstrating real-time analytics in laboratory environments.

Track 08

Predictive Maintenance in Diagnostic Devices

This session will cover strategies for implementing predictive maintenance in diagnostic devices to minimize downtime and enhance reliability. Participants will explore data-driven approaches that optimize device performance and resource allocation.

Track 09

Digital Twin Technologies in Biotechnology

This track will investigate the application of digital twin technologies in the biotechnology sector, particularly in simulating and optimizing diagnostic processes. Participants will discuss the benefits of virtual modeling for predictive analytics.

Track 10

Process Optimization in Molecular Diagnostics

This session will focus on methodologies for process optimization within molecular diagnostics workflows. Researchers will present innovative approaches that enhance throughput and reduce costs in diagnostic laboratories.

Track 11

Biomarker Analysis and Its Engineering Implications

This track will examine the engineering aspects of biomarker analysis, emphasizing the importance of accurate detection and quantification. Participants will discuss the challenges and advancements in developing robust analytical techniques.