One Health

Conference Sessions

Agenda Topics

Explore cutting-edge discussions, innovations, and collaborative strategies shaping the future of global health science and translational research.

Molecular and cellular pathogenesis of non-communicable diseases Mechanisms driving cancer, metabolic syndrome, neurodegeneration, and cardiovascular disease at the subcellular level.
Genomics, epigenetics, and disease susceptibility How genetic variation, epigenetic modifications, and gene-environment interactions influence disease risk, onset, and progression.
Host-pathogen interactions and immune evasion Molecular strategies employed by viruses, bacteria, and parasites to subvert human innate and adaptive immunity.
The human microbiome in health and disease Microbial community dynamics, host-microbe crosstalk, and their roles in immunity, metabolism, and chronic conditions.
Translational models for mechanistic discovery Organoids, organ-on-chip, and advanced animal models that recapitulate human disease for target validation and mechanistic insight.

Precision therapeutics and biomarker-guided treatment Development of companion diagnostics and targeted agents tailored to molecular disease subtypes.
Pharmacogenomics and individualized drug response Genetic and metabolic determinants of drug efficacy and toxicity to optimize dosing and reduce adverse events.
Novel drug delivery and advanced formulation technologies Nanomedicine, sustained-release systems, and gene/cell therapy vectors designed to improve tissue targeting and bioavailability.
Drug repurposing and combination therapy strategies Computational and experimental approaches to identify new uses for existing drugs and synergistic multi-target regimens.
Clinical pharmacology and therapeutic safety Pharmacovigilance, pharmacokinetic/pharmacodynamic modelling, and real-world evidence to ensure safe and effective medicine use.

Nutritional biochemistry and metabolic regulation Macro- and micronutrient signalling pathways influencing metabolism, inflammation, and cellular ageing.
Personalised nutrition and precision health Using genomics, metabolomics, and gut microbiome profiling to tailor dietary recommendations for disease prevention.
Functional foods, nutraceuticals, and bioactive compounds Evidence-based evaluation of dietary components that modulate disease risk, from polyphenols to fermented products.
Diet-microbiome-host interactions How dietary patterns shape the gut microbiome and influence metabolic, immune, and neurological health.
Public health nutrition and health equity Population-level strategies addressing malnutrition, obesity, and diet-related non-communicable diseases across the life course.

Point-of-care and home-based diagnostic platforms Lab-on-a-chip, lateral-flow, and smartphone-integrated tests for rapid disease detection at the point of need.
Liquid biopsy and next-generation molecular diagnostics Circulating tumour DNA, exosomes, and multi-omics panels for early cancer detection, monitoring, and minimal residual disease assessment.
Implantable and wearable therapeutic devices Closed-loop insulin pumps, neuromodulators, and smart drug-eluting implants that respond to physiological signals.
Surgical robotics and image-guided intervention Minimally invasive platforms integrating real-time imaging, haptics, and autonomous assistance to improve precision and outcomes.
Biosensors for continuous physiological monitoring Minimally invasive or non-invasive sensors for glucose, lactate, cardiac markers, and other analytes, enabling proactive care.

AI-driven clinical decision support and diagnostic imaging Machine learning algorithms for radiology, pathology, and early disease detection from multimodal clinical data.
Digital biomarkers and remote patient monitoring Wearable and smartphone-based sensors capturing continuous physiological data to predict clinical deterioration and guide care.
Natural language processing and real-world data mining Extracting actionable insights from electronic health records, clinical notes, and patient-generated text for research and care.
AI for drug discovery and development In silico screening, generative chemistry, and predictive toxicology to accelerate preclinical pipelines and reduce attrition.
Ethical, regulatory, and fairness frameworks for health AI Addressing bias, transparency, validation, and data governance to enable trustworthy AI deployment in healthcare systems.