Scientific Sessions

Scientific Session Day 1
Scientific Session Day 2
Scientific Session Day 3

Session 1Metagenomic Sequencing for Clinical Diagnostics

Metagenomic sequencing is an advanced technique that allows the detection of all genetic material in a clinical sample without the need for prior culture. It can identify bacteria, viruses, fungi, and parasites simultaneously, making it ideal for undiagnosed infections, complex polymicrobial infections, or emerging pathogens. The process involves collecting a clinical sample, extracting nucleic acids, preparing sequencing libraries, performing high-throughput sequencing, and analyzing the data with bioinformatics tools to identify pathogens and, in some cases, antimicrobial resistance genes. Compared to traditional diagnostics, metagenomics offers broad-spectrum detection, rapid identification, culture-independent analysis, and the ability to detect co-infections and resistance genes. Clinically, it is used for neurological infections, respiratory infections, sepsis, gastrointestinal infections, and outbreak investigations. Despite its advantages, challenges remain, including high costs, data interpretation, interference from host DNA, and the need for clinical validation. Future directions include point-of-care sequencing, machine learning-assisted analysis, integration with electronic health records, and personalized treatment strategies. Overall, metagenomic sequencing is transforming clinical microbiology by providing comprehensive, rapid, and precise pathogen detection, improving patient outcomes and public health surveillance.

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Session 2AI-Driven Microbiology & Automated AST Systems

AI-Driven Microbiology and Automated Antimicrobial Susceptibility Testing (AST) systems represent a transformative leap in clinical microbiology, combining artificial intelligence, machine learning, and robotics to revolutionize pathogen detection, identification, and resistance profiling. AI algorithms can rapidly analyze complex microbiological data, including colony morphology, growth patterns, and genomic sequences, enabling precise and early pathogen identification even in polymicrobial infections. Automated AST platforms streamline susceptibility testing by reducing manual labor, minimizing human error, and delivering faster, standardized results for guiding antimicrobial therapy. Integration of AI with these systems further enhances predictive capabilities, allowing clinicians to anticipate resistance trends, optimize antibiotic selection, and improve patient outcomes. These technologies are particularly impactful in high-throughput laboratories, outbreak management, and critical care settings, where rapid, accurate, and reproducible microbiological insights are crucial. As AI models continue to evolve with advanced bioinformatics and big data integration, they promise a future where microbiology is not only faster and more reliable but also predictive, personalized, and fully aligned with the principles of antimicrobial stewardship.

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Session 3Rapid Molecular Diagnostics for Critical Pathogens

Rapid Molecular Diagnostics for Critical Pathogens have transformed clinical microbiology by enabling timely, precise, and culture-independent detection of high-risk infectious agents. These advanced techniques—including PCR, real-time PCR, multiplex PCR panels, isothermal amplification, and next-generation sequencing—allow clinicians to identify bacteria, viruses, fungi, and parasites within hours rather than days, which is critical in severe infections such as sepsis, meningitis, respiratory failure, and outbreaks of emerging pathogens. By providing high sensitivity and specificity, molecular diagnostics facilitate early initiation of targeted therapy, reduce empirical broad-spectrum antibiotic use, and improve patient outcomes. Modern assays often include the simultaneous detection of multiple pathogens and antimicrobial resistance genes, supporting rapid infection control decisions and optimized antimicrobial stewardship. Their integration into point-of-care platforms, automated workflows, and bioinformatics-driven analysis further enhances accessibility and speed, making these tools indispensable in both routine clinical practice and pandemic response. Despite challenges such as cost, technical expertise, and the need for continuous assay validation, rapid molecular diagnostics represent the gold standard for critical pathogen detection, revolutionizing infectious disease management and public health preparedness.

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Session 4Whole Genome Sequencing for Hospital Outbreak Detection

Whole Genome Sequencing (WGS) has emerged as a transformative tool in hospital outbreak detection and infection control. By providing the complete genetic blueprint of pathogens, WGS enables unprecedented resolution in identifying and differentiating closely related strains, allowing epidemiologists and clinicians to trace the exact source and transmission routes of infections within healthcare settings. Unlike conventional methods such as pulsed-field gel electrophoresis or multilocus sequence typing, WGS can detect microevolutionary changes between isolates, pinpointing outbreaks with high precision and distinguishing between unrelated cases. Its applications span bacterial, viral, and fungal pathogens, making it indispensable for controlling multidrug-resistant organisms, Clostridioides difficile, methicillin-resistant Staphylococcus aureus, and nosocomial viral outbreaks. WGS not only facilitates rapid outbreak recognition but also informs targeted infection prevention strategies, guides antimicrobial stewardship by detecting resistance genes, and supports real-time surveillance. Integration of WGS data with hospital epidemiology systems has revolutionized proactive infection control, enabling healthcare facilities to implement timely interventions, reduce transmission, and ultimately improve patient safety. As sequencing costs decrease and bioinformatics pipelines become more robust, WGS is increasingly poised to become a standard, routine tool for outbreak investigation and hospital epidemiology worldwide.

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Session 5Antimicrobial Resistance Surveillance Using Genomics

Antimicrobial resistance (AMR) is a global health crisis, threatening the effectiveness of modern medicine. Genomic surveillance has emerged as a transformative tool to combat this challenge by enabling precise detection, monitoring, and characterization of resistant pathogens at the DNA level. Through techniques like whole-genome sequencing (WGS) and metagenomics, scientists can identify resistance genes, track their evolution, and understand transmission dynamics across clinical, agricultural, and environmental settings. Unlike traditional phenotypic methods, genomic surveillance provides high-resolution insights into resistance mechanisms, emerging strains, and outbreak patterns, allowing for proactive interventions. Integrating genomic data with bioinformatics and global databases accelerates real-time AMR tracking, informs treatment strategies, and supports public health policies. As sequencing costs decrease and analytical tools improve, genomic surveillance of antimicrobial resistance is poised to become a cornerstone of infection control, antibiotic stewardship, and pandemic preparedness

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Session 6Biofilm-Associated Infections & Rapid Detection Tools

Biofilm-associated infections represent a major challenge in modern healthcare due to their resilience against antibiotics and the host immune system. These infections, often linked to indwelling medical devices, chronic wounds, and persistent bacterial infections, are notoriously difficult to diagnose using conventional methods. Rapid detection tools, including molecular assays, biosensors, and imaging technologies, are revolutionizing clinical diagnostics by enabling timely identification of biofilm-forming pathogens. Early and accurate detection is critical for effective treatment, reducing morbidity, and preventing the spread of infection. Advances in rapid diagnostic techniques not only improve patient outcomes but also optimize antibiotic stewardship in healthcare settings.

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Session 7Diagnostic Stewardship: Ensuring Accurate, Cost-Effective Testing

Diagnostic stewardship is a strategic approach in healthcare that ensures the right tests are ordered for the right patient at the right time, optimizing clinical outcomes while minimizing unnecessary costs. By integrating evidence-based guidelines, rapid diagnostics, and laboratory expertise, diagnostic stewardship reduces misdiagnoses, prevents overuse of resources, and enhances patient safety. It bridges the gap between clinical decision-making and laboratory practice, promoting timely, accurate, and cost-effective testing. As healthcare systems face increasing pressure to improve efficiency and quality, diagnostic stewardship has emerged as a cornerstone in precision medicine and value-based care.

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Session 8Clinical Microbiome Applications in Disease Prediction

The human microbiome has emerged as a transformative frontier in clinical medicine, offering unparalleled insights into disease prediction and personalized healthcare. By analyzing microbial communities across the gut, skin, oral cavity, and other body sites, clinicians and researchers can identify early biomarkers for conditions such as inflammatory bowel disease, diabetes, cardiovascular disorders, and even certain cancers. Advanced techniques like metagenomic sequencing, multi-omics integration, and AI-driven predictive modeling enable the detection of subtle shifts in microbial composition that often precede clinical symptoms. Leveraging these microbial signatures allows for early intervention, risk stratification, and the development of personalized treatment plans, making microbiome-based diagnostics a cornerstone of precision medicine. Continuous research in this domain is driving the translation of microbiome data into actionable clinical strategies, revolutionizing disease prevention, monitoring, and management.

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Session 9Automation & Smart Microbiology Laboratories

Automation and smart technologies are transforming microbiology laboratories by integrating robotics, artificial intelligence, and advanced data analytics to streamline workflows, improve accuracy, and enhance diagnostic efficiency. Smart microbiology labs utilize automated sample processing, digital imaging, and real-time monitoring to reduce human error, accelerate pathogen detection, and enable precision in microbial research and clinical diagnostics. These innovations not only optimize laboratory productivity but also enhance patient outcomes and support large-scale epidemiological studies. The convergence of automation and intelligent systems is setting a new standard for modern microbiology, making labs safer, faster, and more reliable than ever before

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Session 10Novel Antimicrobial Susceptibility Platforms & Rapid Testing

Novel antimicrobial susceptibility platforms and rapid testing technologies are revolutionizing clinical microbiology by providing faster, more accurate detection of bacterial resistance patterns. Cutting-edge platforms, including microfluidic devices, automated AST systems, and molecular-based assays, enable clinicians to tailor antibiotic therapy in real time, reducing treatment failures and combating the global threat of antimicrobial resistance (AMR). These innovations enhance diagnostic precision, minimize hospital stays, and improve patient outcomes while supporting antimicrobial stewardship programs.

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Session 11CRISPR-Based Viral Diagnostics (Ultra-Rapid Detection)

CRISPR-based viral diagnostics represent the cutting edge of pathogen detection, offering ultra-rapid, highly sensitive, and specific identification of viral infections. Leveraging the precision of CRISPR-Cas systems, these diagnostics can detect viral RNA or DNA within minutes, enabling point-of-care testing without the need for complex laboratory infrastructure. Recent innovations, such as CRISPR-Cas12 and Cas13 platforms, allow multiplex detection, minimal sample preparation, and real-time results, making them transformative for managing outbreaks and controlling viral spread. Their scalability, portability, and cost-effectiveness position CRISPR diagnostics as a revolutionary tool in clinical virology, epidemiology, and public health, providing faster intervention and improved patient outcomes.

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Session 12Real-Time Viral Genomic Surveillance & Variant Tracking

Real-time viral genomic surveillance and variant tracking are revolutionizing infectious disease control by enabling rapid detection of emerging viral strains, monitoring mutation patterns, and guiding public health interventions. Advanced sequencing technologies combined with powerful bioinformatics platforms allow researchers to track viral evolution, identify variants of concern, and predict potential impacts on vaccine efficacy. This proactive approach ensures timely response to outbreaks, informs treatment strategies, and strengthens global preparedness against viral threats.

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Session 13mRNA Vaccine Advancements Beyond COVID-19

The success of mRNA vaccines against COVID-19 has paved the way for groundbreaking advancements in vaccine technology beyond the pandemic. Researchers are now developing mRNA-based vaccines targeting a wide range of infectious diseases, including influenza, Zika, HIV, and respiratory syncytial virus (RSV). Beyond infectious diseases, mRNA vaccines are showing promising potential in cancer immunotherapy, offering personalized treatment options by encoding tumor-specific antigens. Innovations in delivery systems, stability, and immune response modulation are accelerating the development of next-generation mRNA vaccines, positioning them as a versatile platform for rapid, safe, and effective disease prevention and treatment.

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Session 14Long COVID Mechanisms & Biomarkers

Long COVID is driven by a complex interplay of persistent viral reservoirs, chronic inflammation, immune dysregulation, microclot formation, endothelial dysfunction, autonomic imbalance, and mitochondrial impairment. These mechanisms contribute to long-lasting symptoms such as fatigue, cognitive dysfunction, dyspnea, and multisystem involvement. Emerging biomarkers—viral RNA remnants, elevated cytokines (IL-6, IL-1β, TNF-α), autoantibodies, microclots with trapped inflammatory proteins, dysregulated T-cell subsets, altered metabolomics, and endothelial injury markers (vWF, P-selectin)—are becoming essential tools for early detection, risk stratification, and monitoring therapeutic response. Advanced omics, including proteomics, transcriptomics, and metabolomics, are unveiling new signatures that help differentiate Long COVID from other post-viral syndromes, enabling more targeted and personalized management strategies.

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Session 15Zoonotic Virus Emergence & Spillover Prediction Models

Zoonotic virus emergence and spillover prediction models integrate ecological, genomic, epidemiological, and climate data to anticipate when and where pathogens jump from animals to humans. Modern AI-driven risk-mapping, machine-learning surveillance, reservoir–host interaction analysis, and real-time environmental monitoring help identify hotspots before outbreaks occur. By combining wildlife sampling, host-pathogen evolution tracking, and human-animal interface assessment, these models enable early warning, targeted interventions, and improved global preparedness against future pandemics.

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Session 16Virus Evolution Mapping Using AI & Big Data

Virus Evolution Mapping using AI and Big Data is transforming modern infectious disease research by enabling real-time tracking of viral mutations, transmission patterns, and outbreak dynamics. Advanced machine-learning models analyze massive genomic datasets to detect emerging variants, predict evolutionary trajectories, and identify mutation hotspots with high accuracy. By integrating metagenomic sequences, epidemiological information, and global surveillance data, AI systems can rapidly generate high-resolution phylogenetic maps that guide vaccine updates, therapeutic development, and public-health interventions. This powerful combination of AI and Big Data ensures faster detection of novel threats, improved outbreak preparedness, and precision responses to evolving viral pathogens.

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Session 17Broad-Spectrum Antiviral Drug Development

Broad-spectrum antiviral drug development focuses on creating therapeutics that can target multiple viruses simultaneously, offering rapid, scalable solutions against both known and emerging pathogens. Modern strategies include host-targeted antivirals, pan-viral inhibitors, RNA polymerase and protease blockers, and advanced platforms such as AI-driven drug discovery and CRISPR-based antiviral systems. These drugs are crucial for combating viral outbreaks where pathogen identification is delayed or where multiple viruses co-circulate. With rising global health threats, broad-spectrum antivirals provide a powerful frontline defense, enabling faster outbreak control, reduced resistance, and improved preparedness for future pandemics.

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Session 18Climate-Driven Viral Outbreak Risks

Climate change is accelerating the emergence and spread of viral outbreaks by altering temperature, humidity, and ecological patterns that affect virus survival and transmission. Rising global temperatures expand the geographical range of vectors like mosquitoes and ticks, enabling diseases such as dengue, Zika, chikungunya, and West Nile virus to invade new regions. Extreme weather events—including floods, heatwaves, and storms—disrupt sanitation, weaken immunity, and intensify human–wildlife interactions, increasing spillover risks. Melting permafrost may also release ancient viruses, adding another layer of uncertainty. Understanding climate-driven viral risks is essential for strengthening surveillance, early-warning systems, and global preparedness strategies.

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Session 19Host–Virus Interaction Insights for Novel Therapies

Understanding host–virus interactions is central to developing next-generation antiviral therapies. Modern research explores how viruses hijack cellular pathways, evade immune responses, and manipulate host gene expression. Advanced tools such as CRISPR screens, single-cell omics, protein–protein interaction mapping, and AI-driven structural modeling are identifying new host targets that remain stable across viral variants. These insights are enabling innovative therapeutic strategies, including host-targeted antivirals, immune-modulating drugs, broad-spectrum inhibitors, and personalized treatment approaches. By decoding the molecular dialogue between viruses and host cells, scientists are accelerating the design of more effective, variant-proof, and precision-based therapies for emerging infectious diseases.

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Session 20Novel Therapies for Chronic Viral Infections (HIV, HBV, HCV)

Novel therapies for chronic viral infections such as HIV, HBV, and HCV are rapidly evolving with the integration of gene-editing technologies, long-acting antivirals, immune-modulating agents, and combination therapeutic strategies. For HIV, innovations include long-acting injectable regimens, broadly neutralizing antibodies (bNAbs), and CRISPR-based approaches targeting latent reservoirs. HBV research is shifting toward functional cures through RNA-interference drugs, entry inhibitors, capsid assembly modulators, and therapeutic vaccines aimed at eliminating cccDNA activity. For HCV, although direct-acting antivirals (DAAs) provide >95% cure rates, next-generation treatments focus on pan-genotypic regimens, resistance-free therapies, and access-accelerating innovations. Across all three viruses, the trend moves toward personalized therapy, reduced treatment burden, higher cure potential, and integration of immunotherapy to overcome viral persistence.

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Session 21Ultra-Fast Point-of-Care Tests for Infectious Diseases

Ultra-fast point-of-care (POC) tests are revolutionizing infectious disease diagnosis by delivering accurate, real-time results within minutes directly at the patient’s bedside, in clinics, or in remote settings. Leveraging cutting-edge technologies such as microfluidics, CRISPR-based detection, nanopore sensors, isothermal amplification (LAMP/RPA), and lab-on-chip platforms, these systems enable rapid screening for viral, bacterial, and fungal infections without the need for complex laboratory infrastructure. Their exceptional speed, portability, low sample volume requirement, and high sensitivity make them invaluable tools for early detection, outbreak control, antimicrobial stewardship, and personalized treatment decisions. These next-generation POC tests are shaping the future of diagnostics with enhanced precision, automation, connectivity, and AI-driven result interpretation.

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Session 22New TB Regimens, Diagnostics & Elimination Strategies

New tuberculosis (TB) regimens and diagnostics are transforming global elimination efforts by making treatment faster, safer, and more accessible. Shorter all-oral regimens such as BPaL, BPaLM, and 4-month rifapentine-moxifloxacin therapy are reducing treatment duration and improving patient outcomes, especially for drug-resistant TB. Rapid molecular diagnostics like GeneXpert Ultra, TrueNat MTB, whole-genome sequencing, and AI-driven radiology enable earlier detection and precise drug-resistance profiling. Elimination strategies now focus on active case finding, TB preventive therapy (TPT) for high-risk groups, digital adherence technologies, and integrating TB programs with primary healthcare. Together, these innovations are accelerating progress toward the WHO’s End TB targets.

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Session 23Global AMR Crisis: New Policies, New Solutions

Antimicrobial Resistance (AMR) has emerged as one of the world’s most urgent public-health threats, demanding bold global policies and innovative, cross-sector solutions. Rising resistance across bacteria, viruses, fungi, and parasites is eroding the effectiveness of existing treatments, increasing mortality, and escalating healthcare costs. To combat this crisis, countries are adopting national AMR action plans, strengthening antimicrobial stewardship, promoting rapid diagnostics, and investing in next-generation therapeutics such as phage therapy, novel antibiotics, and AI-driven surveillance systems. Global collaborations, One Health strategies, strict regulation of antimicrobial use, and public awareness initiatives are now shaping the future of AMR control. Together, these efforts represent a decisive shift—from reactive response to proactive prevention.

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Session 24High-Threat Pathogens: Mpox, Nipah, Ebola, CCHF

High-threat pathogens such as Mpox, Nipah virus, Ebola virus, and Crimean-Congo Hemorrhagic Fever (CCHF) represent some of the world’s most dangerous emerging and re-emerging infections due to their high fatality rates, zoonotic transmission, and outbreak potential. Mpox continues to evolve with new global clusters; Nipah remains a severe encephalitic disease with bat-borne spillover and limited antiviral options; Ebola outbreaks highlight gaps in surveillance and community response; and CCHF persists as a tick-borne hemorrhagic fever with rapid nosocomial spread risk. Strengthening genomic surveillance, rapid diagnostics, cross-border preparedness, One-Health strategies, and vaccine/therapeutic development is essential to mitigate these threats. Global collaboration, early detection, and real-time outbreak intelligence are key to preventing large-scale public health emergencies.

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Session 25AI-Powered Epidemic Forecasting & Outbreak Prediction

AI-powered epidemic forecasting and outbreak prediction represent a revolutionary shift in infectious disease surveillance. By integrating machine learning, real-time epidemiological data, genomic sequencing, mobility patterns, climate variables, and digital health records, AI models can detect early warning signals of emerging outbreaks with unmatched speed and accuracy. These systems not only predict disease spread and transmission hotspots but also support public health authorities in optimizing resource allocation, planning interventions, and preventing large-scale epidemics. With advanced neural networks, natural language processing, and predictive analytics, AI enhances early detection, reduces response time, and transforms global preparedness for infectious disease threats—making it a critical tool in the post-pandemic era.

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Session 26Climate Change & Emerging Infectious Diseases

Climate change is rapidly reshaping the global landscape of infectious diseases by altering temperature, humidity, and ecological patterns that influence pathogen survival and transmission. Rising temperatures expand the habitats of vectors such as mosquitoes and ticks, leading to the spread of diseases like dengue, chikungunya, malaria, Zika, and Lyme disease into previously unaffected regions. Extreme weather events—floods, heatwaves, storms—intensify outbreaks of waterborne and airborne infections by disrupting sanitation systems and weakening population immunity. Melting permafrost and shifting wildlife migration patterns increase the risk of novel zoonotic spillovers. As climate variability accelerates, robust surveillance systems, predictive modelling, climate-informed public health strategies, and strengthened global preparedness become essential to prevent and control emerging infectious threats.

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Session 27Candida auris & Other Multidrug-Resistant Fungal Threats

Candida auris & other multidrug-resistant fungal threats represent an urgent global health challenge due to their ability to resist multiple antifungal classes, persist in healthcare environments, and cause severe invasive infections with high mortality. C. auris spreads rapidly in hospitals, survives on surfaces for weeks, and often requires advanced diagnostic tools such as MALDI-TOF or molecular assays for accurate detection. Alongside C. auris, pathogens like azole-resistant Aspergillus fumigatus, multidrug-resistant Candida glabrata, and emerging rare molds are driving a rise in difficult-to-treat fungal infections. These organisms complicate patient management, demand strict infection-control strategies, and highlight the need for genomic surveillance, antifungal stewardship, and development of next-generation antifungal agents.

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Session 28One Health Approach for Pandemic Prevention

The One Health approach is a collaborative, multisectoral strategy that recognizes the interconnectedness of humans, animals, and the environment in preventing pandemics. By integrating surveillance systems, strengthening laboratory networks, monitoring zoonotic spillover, and improving antimicrobial stewardship, One Health enables early detection of emerging pathogens before they spread globally. It promotes coordinated action among public health experts, veterinarians, environmental scientists, and policymakers to reduce disease transmission at the human–animal–environment interface. This holistic model enhances global health security, supports rapid outbreak response, and provides a sustainable framework for preventing future pandemics in an increasingly interconnected world.

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Session 29Vector-Borne & Travel-Related Diseases in a Globalized World

Vector-borne and travel-related diseases are rising rapidly as global mobility, urbanization, and climate shifts expand the habitats of mosquitoes, ticks, and other vectors. In today’s interconnected world, pathogens such as dengue, Zika, chikungunya, malaria, West Nile virus, and tick-borne illnesses are spreading faster and appearing in new regions with no prior immunity. Increased international travel accelerates the movement of infected individuals, creating opportunities for outbreaks and global health emergencies. Strengthening real-time surveillance, implementing vector-control strategies, expanding diagnostic capacity, and promoting travel medicine practices are essential to reducing disease burden. Integrated One Health approaches are now critical to predicting risks, preventing emerging threats, and ensuring preparedness in a globalized landscape.

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Session 30Vaccination Strategies for Future Pandemics

Vaccination strategies for future pandemics are at the forefront of global health preparedness, integrating advanced technologies, rapid response frameworks, and equitable distribution models. Leveraging mRNA and vector-based platforms, predictive immunology, and artificial intelligence for vaccine design, these strategies aim to accelerate development and deployment during emerging infectious disease outbreaks. Emphasis is placed on prioritizing high-risk populations, enhancing cold-chain logistics, and fostering global collaboration to ensure timely immunization coverage. Real-time genomic surveillance and adaptive vaccination campaigns further enhance resilience, ensuring that future pandemics can be met with precision, efficiency, and minimal societal disruption.

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