Poster Announcement: Dr. Svetlana Illarionova on AI-Driven Digital Pathology



14th World Digital Pathology & AI UCG Congress & Exhibition

April 09–11, 2026 | Dubai, United Arab Emirates

The 14th World Digital Pathology & AI UCG Congress & Exhibition is delighted to announce Dr. Svetlana Illarionova as a Poster Presenter, showcasing groundbreaking research at the intersection of artificial intelligence and histopathology. This global congress serves as a premier platform for researchers, clinicians, and innovators to explore transformative advances shaping the future of pathology.


Introduction of the Poster Presenter

Dr. Svetlana Illarionova is an accomplished researcher specializing in AI-driven medical imaging and computer vision. Her work focuses on leveraging advanced deep learning techniques to improve diagnostic workflows and enhance accuracy in digital pathology. She brings strong academic expertise and global research exposure to the congress.


Biography

Dr. Svetlana Illarionova received her Ph.D. in Computer Science from the Skolkovo Institute of Science and Technology (Skoltech), Moscow, in 2023. Her academic background is deeply rooted in artificial intelligence, with particular emphasis on deep neural networks and their applications across medicine and healthcare technologies.

She has authored and co-authored more than 40 publications in reputable, peer-reviewed international journals, reflecting her consistent contributions to the scientific community and her dedication to advancing AI-enabled healthcare solutions.


Research Interests

Dr. Illarionova’s research interests include:

• Digital Pathology and Computational Histopathology

• Computer Vision in Medical Imaging

• Deep Learning and Generative AI Models

• Virtual Staining Technologies

• AI Applications in Diagnostic Medicine

Her work aims to bridge the gap between traditional pathology methods and next-generation AI-powered diagnostic tools.


Area of Poster Presentation

Poster Title:

“Benchmarking Generative Models for Virtual Staining: From H&E to IHC Translation in Histopathology”

This research explores the performance of generative AI models in enabling virtual staining, specifically translating Hematoxylin & Eosin (H&E) stained images into Immunohistochemistry (IHC) representations. The study demonstrates how AI can reduce dependency on costly laboratory reagents, accelerate diagnostic timelines, and support pathologists with enhanced visualization tools—marking a significant advancement in digital histopathology.


Benefits to the Scientific and Medical Community

• Enhances diagnostic efficiency and accuracy

• Reduces laboratory costs and turnaround time

• Supports AI-assisted decision-making in pathology

• Encourages adoption of virtual and computational pathology

• Promotes sustainable and scalable diagnostic solutions

This research offers practical value for pathologists, researchers, AI developers, and healthcare institutions worldwide.


Achievements & Academic Contributions

• Ph.D. in Computer Science from Skoltech, Moscow

• Over 40 peer-reviewed scientific publications

• Recognized expertise in AI, deep learning, and medical imaging

• Active contributor to global digital pathology research initiatives

Dr. Illarionova’s achievements underline her role as a promising leader in AI-driven pathology research.


Conclusion

The 14th World Digital Pathology & AI UCG Congress & Exhibition proudly welcomes Dr. Svetlana Illarionova and her innovative poster presentation. Her research exemplifies the transformative potential of AI and generative models in reshaping histopathology and diagnostic medicine.

We invite researchers, clinicians, industry experts, and delegates to join us in Dubai and engage with cutting-edge insights that are redefining the future of digital pathology.


Visit Our Speaker Page: https://digitalpathology.utilitarianconferences.com/speaker/dr-svetlana-illarionova 


Visit our website:

https://digitalpathology.utilitarianconferences.com/


 Online Registration:

https://digitalpathology.utilitarianconferences.com/virtual-registration

Accreditation Registration:

https://digitalpathology.utilitarianconferences.com/accreditation-registration


Sponsor Registration:

https://digitalpathology.utilitarianconferences.com/sponsor-registration

Exhibitor Registration:

https://digitalpathology.utilitarianconferences.com/exhibitor-registration

Submit Abstract:

https://digitalpathology.utilitarianconferences.com/submit-abstract

Registration Link:

https://digitalpathology.utilitarianconferences.com/registration


#DigitalPathology #AIinHealthcare #AIinPathology #VirtualStaining #Histopathology #GenerativeAI #MedicalImaging #DeepLearning #PosterPresentation #PathologyResearch #HealthcareInnovation #WorldDigitalPathologyCongress #DIGITALPATHOLOGYUCG

#UCGConferences #MedicalAI #CMECPD #DubaiConferences #FutureOfDiagnostics #AIResearch #HealthcareTechnology


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