Track Categories
The track category is the heading under which your abstract will be reviewed and later published in the conference printed matters if accepted. During the submission process, you will be asked to select one track category for your abstract.
At Pathology 2026, Study of disease mechanisms through examination of tissues, organs, and bodily fluids. It focuses on identifying structural and functional changes that occur in disease states.
Forms the foundation of precision diagnosis, enabling the art of precision in healing
Key Highlights:
1.1 Disease morphology assessment
1.2 Tissue-based diagnosis
1.3 Cancer classification systems
1.4 Inflammation profiling
1.5 Diagnostic accuracy enhancement
At Pathology 2026, Examination of tissues removed during surgery to diagnose disease.It provides critical intraoperative and post-operative diagnostic insights.
Guides precise surgical decisions for scientifically driven healing outcomes
Key Highlights:
2.1 Intraoperative diagnosis
2.2 Tumor margin evaluation
2.3 Biopsy interpretation
2.4 Frozen section analysis
2.5 Surgical decision support
3. Genomic Pathology
At Pathology 2026, Integration of genomic data into disease diagnosis and classificationIt links molecular genetic alterations with disease behaviour and outcomes.
Enables precision healing through molecular-level disease understanding.
Key Highlights:
3.1 Gene mutations profiling
3.2 Cancer genome mapping
3.3 Personalized diagnostics
3.4 Molecular classification
3.5 Targeted therapy guidance
At Pathology 2026, Study of structural and functional changes in DNA under disease conditions. It explores how DNA alterations influence disease progression and repair. Reveals precision insights into disease evolution and repair mechanisms
Key Highlights:
4.1 DNA replication errors
4.2 Epigenetic modifications
4.3 Mutation tracking
4.4 Genome instability analysis
4.5 Repair pathway assessment
At Pathology 2026, Minimally invasive testing using blood or fluids to detect disease markersIt enables detection of circulating biomarkers without surgical intervention. Enhances precision detection without surgical intervention
Key Highlights:
5.1 Circulating tumor DNA
5.2 Exosome analysis
5.3 Real-time monitoring
5.4 Early cancer detection
5.5 Treatment response tracking
At Pathology 2026, Biological indicators in blood reflecting disease presence or progression. They provide measurable signals of physiological and pathological changes. Enables early precision-based disease identification
Key Highlights:
6.1 Protein marker analysis
6.2 Enzyme level tracking
6.3 Disease staging indicators
6.4 Prognostic evaluation
6.5 Screening applications
At Pathology 2026, Pattern-based profiling of serum components linked to disease states. It identifies unique molecular patterns associated with specific conditions. Supports refined diagnostic precision through molecular signatures.
Key Highlights:
7.1 Protein expression patterns
7.2 Immune response markers
7.3 Cancer signature mapping
7.4 Diagnostic fingerprinting
7.5 Predictive modelling
At Pathology 2026, Comprehensive analysis of plasma components for clinical insights. It evaluates proteins, metabolites, and circulating molecules in blood plasma. Advances precision diagnostics through systemic biological mapping
Key Highlights:
8.1 Metabolite profiling
8.2 Circulating RNA analysis
8.3 Protein quantification
8.4 Disease biomarker discovery
8.5 Therapeutic monitoring
At Pathology 2026, Study and application of cellular-level therapies in disease management. It focuses on manipulating cells to restore normal biological function.
Delivers healing through targeted cellular precision interventions.
Key Highlights:
9.1 Cell therapy design
9.2 Immune cell engineering
9.3 Regenerative applications
9.4 Cellular diagnostics
9.5 Tissue repair mechanisms
At Pathology 2026, Development of biological substitutes to restore damaged tissues. it combines biology and engineering to rebuild functional tissue structures.
Enables reconstructive precision in healing damaged organs
Key Highlights:
10.1 Scaffold design
10.2 Biomaterial integration
10.3 3D tissue fabrication
10.4 Regeneration modeling
10.5 Organ replacement research
At Pathology 2026, Use of stem cells for regeneration and disease treatment.It utilizes stem cell potential to repair and regenerate damaged tissues.
Promotes regenerative precision in healing complex disorders
Key Highlights:
11.1 Stem cell differentiation
11.2 Regenerative therapy
11.3 Tissue repair mechanisms
11.4 Cellular reprogramming
11.5 Clinical stem applications
At Pathology 2026, Study of tissue repair, regeneration, and healing processes in disease. It examines how tissues recover and regenerate after injury or disease.
Bridges pathology with healing science for precision recovery
Key Highlights:
12.1 Wound healing pathways
12.2 Fibrosis analysis
12.3 Regeneration biology
12.4 Cellular restoration
12.5 Healing biomarkers
At Pathology 2026, Medical specialty focused on operative treatment of diseases.It involves manual and technological interventions to treat pathological conditions. Translates diagnostic precision into therapeutic healing action
Key Highlights:
13.1 Minimally invasive techniques
13.2 Oncological surgery
13.3 Robotic-assisted procedures
13.4 Surgical precision tools
13.5 Post-operative recovery
At Pathology 2026, Use of digital imaging and AI for pathology diagnosis. It transforms traditional pathology slides into digital data for analysis.Enhances precision diagnostics through digital intelligence
Key Highlights:
14.1 Whole slide imaging
14.2 AI-based diagnosis
14.3 Remote pathology access
14.4 Image analysis automation
14.5 Data-driven reporting
At Pathology 2026, Use of predictive models to forecast cancer progression and outcomes. It applies data analytics and AI to anticipate disease behaviour.
Enables precision forecasting for personalized cancer care
Key Highlights:
15.1 Risk modelling
15.2 Treatment prediction
15.3 Survival analytics
15.4 AI oncology tools
15.5 Response forecasting
At Pathology 2026, New technologies and methods improving disease detection. It focuses on developing advanced tools for faster and accurate diagnosis. Drives precision diagnosis through innovative scientific tools
Key Highlights:
16.1 AI diagnostics
16.2 Point-of-care testing
16.3 Molecular imaging
16.4 Rapid screening tools
16.5 Smart biosensors
At Pathology 2026, Study of tissue death and subsequent healing mechanisms. It examines how damaged tissues undergo death and recovery processes. Explains precision balance between damage and recovery.
Key Highlights:
17.1 Cell death pathways
17.2 Tissue regeneration
17.3 Inflammatory response
17.4 Healing cascade
17.5 Repair biomarkers
At Pathology 2026, Study of impaired organ function due to disease or injury. It focuses on how organs lose function and respond to pathological stress. Enables precision targeting of organ-specific healing strategies.
Key Highlights:
18.1 Functional decline analysis
18.2 Multi-organ failure mechanisms
18.3 Biomarker correlation
18.4 Disease progression tracking
18.5 Therapeutic intervention points
At Pathology 2026, Harmful effects of metabolic imbalance and toxic accumulation. It studies how metabolic disturbances lead to cellular and organ damage. Supports precision detection of metabolic disruption in disease.
Key Highlights:
19.1 Metabolic pathway disruption
19.2 Toxic metabolite build-up
19.3 Cellular stress response
19.4 Liver/kidney toxicity markers
19.5 Detoxification pathways
At Pathology 2026, Study of foreign chemical substances in the body and their effects. It analyses how external compounds are metabolized and eliminated. Enhances precision toxicology in disease prevention and treatment.
Key Highlights:
20.1 Drug metabolism
20.2 Chemical toxicity
20.3 Detoxification enzymes
20.4 Exposure analysis
20.5 Pharmacokinetics
At Pathology 2026, Real-world clinical cases used for research and learning in medicine. It presents documented patient scenarios for clinical understanding. Strengthens precision medicine through evidence-based learning.
Key Highlights:
21.1 Clinical pattern recognition
21.2 Rare disease documentation
21.3 Treatment outcome analysis
21.4 Diagnostic challenges
21.5 Evidence-based insights