Tuesday, 13th December Multi-Omics Inaugural Conference 2022

• Use of cellular barcoding to resolve subclonal heterogeneity in multiomics analysis - Delphine Merino
• Harnessing Spatial Approaches to Understand Tumor Immune Microenvironment linked to Anti-PD1 Treatment Response in Gastric Cancer - Tae Hyun Hwang
• Computational biology approaches to spatial-omics - Melissa Davis
• Visualizing in situ single-cell multi-omics with MERSCOPETM Powered by MERFISH - Thaddaeus Teo
• Griffith University Systems Biology - Nicholas West
• Precise Spatial Multiplexing with ChipCytometry: An Open-Source Solution to High-Throughput Spatial Biology - Thomas Campbell

Session supported by:

• Towards improved phenotyping of single-cell and spatial datasets through idem-cell integrated proteogenomics - Ghamdan Al-Eryani
• Uncovering subtype specific intra-tumoural heterogeneity in brain cancer - Sarah Best
• Oncofetal Ecosystem in HCC: Towards Spatial Precision Oncology - Ankur Sharma
• Exploring True Spatial Multiomics Enabled by PhenoCycler Fusion - Niro Ramachandran
• Spatial molecular profiling of lung pathology in Mycobacterium tuberculosis infected mice to define tissue microenvironments and regulators of TB granulomas - Meg L Donovan
• Multi-omic profiling of rogue lymphocytes in celiac disease - Raymond Louie
• Delineation of spatial tissue signatures of immunotherapy response groups in non-small cell lung cancer (NSCLC) - james Monkman
• Understanding innate lymphoid cell heterogeneity and development using computational methods - Sophie Curio

• Spatial tech to the clinic, how close are we? – A Singapore Odyssey to share - Joe Yeong
• Comparative skin cancer atlas and interactome: A multi-modal spatial approach to quantifying skin cancer diversity - Quan Nguyen
• Molecular dynamics of the human prefrontal cortex from gestation to adulthood - Ryan Lister
• Framework for therapeutic target discovery and multi-omic supported individualized medicine - Rocky Choi
• High fidelity multiplexed imaging across large patient cohorts to define novel spatial biomarkers of high prognostic value. - Selena Larkin
• Signature Regulatory Clustering (SiRCle) integration reveals mechanisms of phenotype regulation in renal cancer - Ariane Mora

• Data-driven platform for identifying variants of interest in COVID-19 - Priya Ramarao-Milne
• COVID-Critical Study - Gianluigi Li Bassi
• Artificial intelligence and multi-omics to predict immunotherapy response - Scott Allen
• Using multi-omics to define which patients with prostate cancer benefit from which therapy - Christopher Sweeney