Explore the Advanced Scientific Sessions of the 16th Emirates Pathology, Digital Pathology & Cancer Conference (CME/CPD Accredited)
Explore the Advanced Scientific Sessions of the 16th Emirates Pathology, Digital Pathology & Cancer Conference (CME/CPD Accredited)
March 09–11, 2026 | Dubai, UAE
The field of pathology is undergoing a transformative evolution, driven by disruptive technologies, digital innovations, precision diagnostics, and AI-powered breakthroughs. At the 16th Emirates Pathology, Digital Pathology & Cancer Conference, global experts, researchers, and healthcare professionals will come together to share knowledge, present new findings, and discuss future developments shaping diagnostic medicine.
With a diverse range of scientific tracks—from AI in pathology to experimental research and renal pathology—the conference offers a dynamic platform for presenting your work, publishing your expertise, and gaining global recognition.
This blog explores Tracks 31–35, highlighting their significance, emerging trends, and why every researcher, pathologist, clinician, and academic should consider submitting an abstract before the November 30, 2025 deadline.
Stay professionally updated and earn credits while interacting with pioneers in the field.
Meet pathologists, oncologists, research scientists, digital pathology innovators, AI specialists, and academic leaders.
Presenting your work provides opportunities for international publication, academic recognition, and future collaborations.
Join in-person in Dubai or participate virtually from anywhere in the world.
Below is an in-depth explanation of the featured scientific tracks, incorporating trending topics relevant to today’s diagnostic and research landscape.
Artificial Intelligence (AI) is one of the most revolutionary technologies transforming pathology today. This track explores how AI elevates diagnostic accuracy, reduces workload, and supports predictive analytics.
AI-powered image analysis
Deep learning models for histopathology
Whole-slide imaging (WSI) interpretation
Predictive algorithms for cancer detection
Automation in lab workflows
Real-time diagnostic support tools
Generative AI for medical imaging enhancement
Explainable AI (XAI) to improve transparency in diagnostics
Pathology-Large Language Models (pLLMs) in research
AI-integrated LIS systems
Digital twins for personalized treatment planning
AI in pathology is not the future—it is the present. This track welcomes technical papers, clinical applications, and real-world AI model validations.
Oral and maxillofacial pathology plays a vital role in diagnosing diseases affecting the oral cavity, jaws, salivary glands, soft tissues, and craniofacial structures.
Oral cancer pathology
Odontogenic cysts and tumors
Molecular and genetic markers in oral diseases
Salivary gland pathology
Mucosal lesions and autoimmune conditions
Craniofacial developmental disorders
HPV-driven oral cancers
AI-enhanced detection of precancerous lesions
Biomarkers for oral squamous cell carcinoma
3D pathology models in dental research
This track attracts dental researchers, oral surgeons, oncologists, and clinicians working at the intersection of dentistry and pathology.
Pathology continues to diversify with numerous subspecialties emerging to address complex clinical needs. This track highlights the full spectrum of specialized diagnostic fields.
Dermatopathology
Hematopathology
Neuropathology
Ophthalmic pathology
Pediatric pathology
Gastrointestinal and liver pathology
Thoracic and cardiac pathology
Precision diagnostics in subspecialty pathology
Immunohistochemistry advancements
Next-generation sequencing (NGS) in targeted diagnosis
Rare disease pathology
Multidisciplinary tumor boards
Presenters are encouraged to submit research reflecting innovations, difficult cases, rare findings, or novel diagnostic methods within any pathology subspecialty.
This track focuses on cutting-edge experimental studies that push boundaries in understanding disease mechanisms, pathogenesis, and biomarker discovery.
Disease modeling and mechanisms
Genomic and proteomic research
Biomarker discovery for early detection
Experimental oncology
Translational pathology
Lab-based innovations and methodologies
CRISPR gene-editing applications
Organoid and lab-grown tissue models
Molecular pathway-targeted therapies
Single-cell sequencing
Immune system–tumor microenvironment studies
Researchers seeking to showcase groundbreaking scientific discoveries will find this track ideal.
Kidney diseases represent a significant global health burden, and accurate pathology remains crucial for diagnosis and treatment planning.
Glomerular, tubular, interstitial, and vascular diseases
Renal biopsy interpretation
Transplant pathology
Urinary tract cancers
Urinary biomarkers
Inflammatory and infectious pathology
AI-driven renal biopsy scoring
Molecular nephropathology
Digital pathology for transplant monitoring
Biopsy-free diagnostic technologies
Renal oncology precision markers
This track supports submissions from nephrologists, urologists, renal pathologists, and research scientists.
Submit your abstract to join global leaders in pathology, digital innovation, and cancer research.
Submit Today: https://pathology.utilitarianconferences.com/submit-abstract
Contact on WhatsApp: https://wa.me/+971551792927