Page 178 - AI for Good Innovate for Impact
P. 178

AI for Good Innovate for Impact



                          Use  Case 26: AI-Enhanced Organoid  Platform for Pandemic

                      Preparedness and Personalized Medicine















                      Country: China, Hong Kong SAR
                      Organization:Cooperative Open Intelligent Computing Industry Alliance (Collaborating with
                      C2itech Limited)

                      Contact person: Alex Li alex.li@ c2itech .HK. Phone: +852 98765443 (WhatsApp)


                      1      Use Case Summary Table


                       Category             Healthcare
                       Problem addressed    The Artificial Intelligence (AI)-Enhanced Organoid Platform aims to
                                            revolutionize pandemic preparedness and personalized medicine by
                                            leveraging cutting-edge AI technologies. It integrates 3D organoid
                                            models with deep learning algorithms to simulate human respiratory
                                            tract responses, predict viral mutations, and optimize drug discovery
                                            processes.

                       Solution  to  the  prob- Inefficient Drug Screening: Traditional methods for respiratory virus
                       lem                  drug testing are slow and costly, delaying critical treatments during
                                            outbreaks.
                                            Unpredictable Viral Evolution: Current tools cannot accurately forecast
                                            high-risk viral variants, hindering proactive vaccine development.
                                            Limited Access to Personalized Medicine: Developing regions lack
                                            affordable, tailored treatments for respiratory diseases.

                       Technology keywords  Deep learning models, Generative AI, AI-powered image analysis

                       Metadata (type of data) a) Viral genome databases, WHO outbreak data; b) C2i’s organoid
                                            datasets, clinical trial data

                       Data availability    a) Publicly available; b) Privately available
                       Model training       Working on: Pre-training of hybrid BioNeMo + DeepSeekMoE archi-
                                            tecture (using ESM-2/Geneformer backbones) on federated biological
                                            datasets.
                                            Current Focus: Domain-specific fine-tuning for drug discovery work-
                                            flows (target: **>93% accuracy** by end-Nov).
                       Testbeds or pilot  2 biotech partners testing protein function prediction in Hong Kong
                       deployments          and Shanghai
                                            2 hospital labs validating gene expression analysis in Hong Kong
                                            Initial Metrics: Latency <80ms, user satisfaction > 4.7/5





                  142
   173   174   175   176   177   178   179   180   181   182   183