DRAGON SYMPOSIUM 2024

15 Oct 2024, 9:00AM (GMT+8) at CREATE Tower, Theatrette (L2)

CREATE Tower

We are excited to announce the DRAGON Symposium (Discovery of Theranostic Agents for an Aging Population), taking place on October 15th at the CREATE Theatrette, Utown Campus, NUS in Singapore hosted by TUMCREATE. Hosted by Prof. Angela Casini, Chair of Medicinal and Bioinorganic Chemistry at the Technical University of Munich (TUM), the event, themed "Supramolecular Approaches to Theranostics: The Way Forward," will gather leading experts from academia and the industry. Featuring speakers from the Technical University of Munich, the National University of Singapore and Nanyang Technological University, the symposium will explore pioneering research on supramolecules and self-assembled materials, theranostics, and innovative strategies for imaging and therapy. Explore cutting-edge developments in supramolecular cancer radiotheranostics, bio-inspired and multifunctional materials, and their additive manufacturing, as well as AI-driven molecular design, and more, as we discuss the future of personalised medicine and therapeutic discovery for aging populations. Don’t miss this opportunity to engage with thought leaders and shape the future of medicinal chemistry and precision healthcare.

Introduction

Registration starts

Welcome and Introductory remarks 

Program 1

Cancer Radiotheranostics

Aggregation-induced emission (AIE) photosensitizers for photodynamic therapy

Supramolecular coordination complexes: from drug delivery to theranostics

Integration of Metal-Organic Framework (MOF) Materials to Functional Systems

Coffee Break

Program 2

Application of exosome mimetics in pathological conditions

Supramolecular biomaterials with a time switch

Peptide Coacervates as Universal Vehicles for Intracellular Delivery of Macrom

Lunch

Program 3

Bioorthogonal Conjugation for Precise Imaging & Therapeutic Degradation

Harnessing the full combinatorial power of radioisotopes, fluorophores and drugs in translational oncological applications

Multimodal theranostics 

Program 4

Designing theranostic biomaterials through 3D printing

To accelerate atomistic simulations to study non-covalent interactions.

Machine learning  

Graph Transformers for Molecular and Material Science

Using LLMs to find promising candidates for X.

Triaging Scholarly Information Overload

Wrap up

Concluding Remarks

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DRAGON SYMPOSIUM 2024

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