Innovation

Innovations & IPs

• Automated staining protocol for seven-colour immunofluorescence of human and animal tissue sections for diagnostic and prognostic use (TEC-18-96)
• PD-L1 monoclonal antibody as a diagnostic tool to predict anti-PD-L1 and anti-PD-1 immunotherapy response in cancer (IMC/Z/12757)
• IHC staining for CD38 predict anti-PD-1 immunotherapy response (TEC-18-92) and in house engineered antibody (2023-019)
• IHC staining for CD39 predict PD-1/PD-L1 inhibitor immunotherapy response (IMC/Z/11149) and in-house engineered antibody (IMC/Z/13882)
• PD-L2 monoclonal antibody as a diagnostic tool to predict anti-PD-L1 and anti-PD-1 immunotherapy response in cancer (2023-020)
• Methodology for development of a direct multiplex immunohistochemistry prototype kit for CD39 and PD-L1 detection (2023-021)
• 74 Antibodies Optimised for Immunohistochemistry (IHC) (IMC/Z/13562, licensed to ImmunoQs.)
• Multiplex immunohistochemistry/immunofluorescence (mIHC/IF) for PD-L1 testing in triple negative breast cancer: a translational assay compares to conventional IHC (DxD/Z/11878, licensed out to Lucence Diagnostic)
• IHC-based clinical assay for EBC-129 ADC for cancer. (2021-01-11)
• CD8+ T-cell prediction with AI in histological images. (Ref. 2024-021)
• Method for Testing Multiple Tissue Samples on A Single Stereo-seq Spatial Transcriptomics Chip (ASTAR ref Z2024-280; RE 2024-016)
• Blood-based Biomarkers for Lung Cancer (2024-009 - Z2024-158)
• Integrated platform for neoantigen identification using patient derived tumor biopsy (2023-010 - IMC/Z/14352)
• Albumin-based Multifunctional Nanocarriers for Cancer Vaccine Delivery (Z2024-108; PCT/SG2025/050559)
• Whole slide blood smear assay on slides for high throughput protein and cell analysis (Z2024-755)
• Whole slide smear imaging assay for high throughput cell culture analysis (Z2024-825)
• PD-L1-expressing tumour cell prediction on haematoxylin and eosin-stained whole slide images (Z2024-656)
• Low and High Molecular Weight Protein Enrichment (Z2024-690)
• A computer-implemented method for cell-level detection a prediction of cancer biomarker associated features (ref: IP2024-030-01; PCT/SG2025/050432)
• Antibody-drug conjugate target protein expression prediction on haematoxylin and eosin-stained whole slide images (Z2024-655, Licensed to ViewsML.)
• Predictive Model for Mortality Risk Stratification Using Laboratory Biomarkers in Singaporeans (TD 2025-020, Licensed to Lucence Diagnostics)

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Professional Membership

• Co-founder World Immunotherapy Council Asian Chapter
• Co-Chair World Immunotherapy Council 2019, 2023, 2025
• Committee Member of Society of Immunotherapy for Cancer (SITC)
• Co-founder and Committee Member Clinical Day (CLINICCAI) of International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI
• Executive Secretary of Singapore Society of Oncology – Cancer immunotherapy consortium
• Education/Diagnostics Co-Lead, SingHealth Duke-NUS Cell Therapy Centre
• Executive Committee Member, Singapore Society of Pathology
• Founder, Spatial JEDI Council
• Board & Committee Member, Asian Society of Digital Pathology (ASDP)
• Board member, Digital Pathology Special Interest Group, MICCAI
• Lead & Committee Member of Society for Immunotherapy for Cancer (SITC)
• Committee Member, Cancer Peak, Singapore General Hospital
• Membership of United States and Canada Academy of Pathology (USCAP)
• Fellow of British Royal College of Pathologist (RCPath)
• Membership of Pathology Society of Great Britain and Ireland (SocPath)
• Membership of Singaporean Society for Immunology (SgSi)
• Adjunct Membership of International Academy of Pathology (IAP) - Singapore Division
• Membership of European Society of Pathology
• NIH Alliance of Digital Pathology
• Singapore Biodesign Alumni (Winner of BEP program 2021)
• Member Board of Directors, African & Asian Society of Digital Pathology (ASDP)
• Board Member, Medical Image Computing and Computer Assisted Intervention (MICCAI) Society
• Board Member, MICCAI Special Interest Group on Computational Pathology
• Committee member, American Society of Clinical Oncology (ASCO)