1. Government-, University- and Hospital-Supported Projects
Project 1
Project Title: Suzhou Industrial Park Affective Computing & Interactive Health Interdisciplinary Innovation (Research) Platform
Project Type: Governmental Research Project – SIP Construction of High-Level Innovation Platform
Project Period: 1 October 2025–30 September 2027, or 1 January 2026–31 December 2028; to be confirmed
Project Code: To be confirmed
Funding: RMB 1 million or RMB 800,000; to be confirmed
Principal Investigator: Zhijie Xu
Brief Description: The platform integrates multimodal affective computing, large language models, privacy-preserving edge AI, digital humans, medical visualisation and interactive rehabilitation. It provides an interdisciplinary foundation for mental wellbeing, healthy ageing and intelligent care.
Project 2
Project Title: Construction of an Artificial Intelligence Platform for Accurate Cytologic Screening of Cervical Cancer
Project Type: XJTLU Key Programme Special Fund – Applied Technology Research
Project Period: Commenced in 2020; completion date to be confirmed
Project Code: To be confirmed
Funding: RMB 1 million
Principal Investigator: Jionglong Su
Brief Description: The project develops AI methods for cervical cytology screening, including cell and chromosome analysis, image segmentation and decision support. It demonstrates a translational pathway from biomedical algorithms to a clinically relevant screening platform.
Project 3
Project Title: SWISS AI Foundation Model Research Grant
Project Type: SWISS AI Grant
Project Period: To be confirmed
Project Code: To be confirmed
Funding: CHF 80,000, stated as approximately RMB 650,000 in the submitted record
Principal Investigator: Xiaowu Sun
Collaborating Institution: Lausanne University Hospital (CHUV), Switzerland
Brief Description: The project develops foundation-model approaches for cardiovascular imaging in collaboration with CHUV. It builds on expertise in coronary angiography, cine CMR and 4D-flow MRI to support quantitative assessment, cross-centre validation and cardiovascular risk prediction.
Project 4
Project Title: Multi-Scale Language Models Collaboration for Multi-turn Empathetic Dialogue Generation
Project Type: National Natural Science Foundation of China – Young Scientists Fund
Project Period: 1 January 2026–31 December 2028
Project Code: 62502396
Funding: RMB 300,000
Principal Investigator: Yangbin Chen
Brief Description: The project investigates collaboration between language models of different scales to generate coherent, controllable and empathetic multi-turn dialogue. Applications include mental-health interviews, caregiver support, digital humans and embodied care agents.
Project 5
Project Title: Development of intelligent plastic paper splint in distal radius fracture
Project Type: Suzhou Traditional Chinese Medicine Hospital R&D Project
Project Period: 2024–2026
Project Code: To be confirmed
Funding: RMB 200,000
Principal Investigator: Jie Sun
Co-Principal Investigator: Qinglei Bu
Clinical Partner: Suzhou Traditional Chinese Medicine Hospital
Brief Description: The project combines a traditional fracture splint with sensing, IoT communication and remote monitoring. Pressure, posture and rehabilitation data can support safer treatment, personalised recovery assessment and future hospital validation.
Project 6
Project Title: Enhancing Depression Detection via Multimodal Data Fusion and Hierarchical Cross-Attention Networks
Project Type: XJTLU Research Development Fund
Project Period: 1 July 2025–30 June 2028
Project Code: RDF-24-02-008
Funding: RMB 100,000
Principal Investigator: Yangbin Chen
Brief Description: The project integrates speech, language, facial and video signals to support more objective assessment of depression. It provides a foundation for multimodal screening, longitudinal state modelling and clinically informed intelligent interaction.
Project 7
Project Title: Implementing Artificial Intelligence Models to Support Early Detection of Congenital Heart Defects in Routine Prenatal Ultrasound Scanning
Project Type: To be confirmed
Project Period: Active; formal dates to be confirmed
Project Code: To be confirmed
Funding: RMB 100,000
Principal Investigator: Netzahualcoyotl Hernandez-Cruz
Brief Description: The project investigates AI support for detecting congenital heart defects during routine prenatal ultrasound. It builds on fetal cardiac-view localisation and ultrasound-video analysis, with potential for wider clinical and resource-limited deployment.
Project 8
Project Title: Advancing Cancer Bioimage and Bioinformation Analysis through Artificial Intelligence Methods
Project Type: XJTLU Research Development Fund
Project Period: In progress; formal dates to be confirmed
Project Code: To be confirmed
Funding: RMB 100,000
Principal Investigator: Hejia Qiu
Brief Description: The project integrates cancer imaging, biological information and clinical data for prognosis and patient stratification. It supports interpretable tumour biomarkers and future studies of disease progression and treatment response.
Brief Description: The laboratory develops knowledge engines, retrieval-augmented generation, continual learning and intelligent agents. These technologies can support biomedical evidence retrieval, clinical knowledge services, patient education and auditable research assistants.
Project 2
Project Title: XJTLU AIAC – Mind with Heart Robotics Co. Ltd. Embodied Emotional Intelligence Joint Lab
Flagship Project: An’an Cyber Panda
Company: Mind with Heart Robotics; legal company suffix to be confirmed
Brief Description: The laboratory combines multimodal perception, empathetic dialogue, robotics and human–robot interaction with industrial engineering and manufacturing. An’an provides an embodied platform for emotional support, elderly care and special-education research.
Project 3
Project Title: Development of an Interpretable System for Intelligent Multimodal Medical Diagnosis
Company: 南京朴归信息科技有限公司 Official English company name was not provided in the submitted materials.
Project Type: Collaborative Research Project
Project Period: 18 September 2024–30 August 2028
Project Code: RDS10120240248
Funding: RMB 500,000
Principal Investigator: Haiyang Zhang
Brief Description: The project integrates medical images, clinical information and knowledge evidence within an interpretable diagnostic system. It focuses on causal de-biasing, uncertainty, explainability and reliability across datasets and healthcare settings.
Project 4
Project Title: Development of plant protein composite fiber scaffold solutions
Company: Suzhou Mingde Biotechnology Co.,Ltd
Project Type: Industry Collaborative Project
Project Period: June 2025–June 2028
Project Code: To be confirmed
Funding: RMB 500,000
Principal Investigator: Jie Sun
Brief Description: The project combines plant-protein biomaterials, fibre fabrication, machine learning and 3D biofabrication. It seeks to optimise scaffold composition, manufacturing parameters and biological performance for regenerative medicine and advanced tissue models.
Project 5
Project Title: To be confirmed
Company: Hansoh Pharmaceutical Group Company
Project Type: Industry Project
Project Period: December 2025–December 2026
Project Code: To be confirmed
Funding: RMB 385,000
Principal Investigator: Jingxin Liu
Brief Description: The collaboration applies digital pathology and medical AI to pharmaceutical research and biomarker assessment. Relevant technical strengths include histochemical scoring, PD-L1 quantification, cellular analysis, cross-stain segmentation and virtual staining.
1. Government-, University- and Hospital-Supported Projects
Project 1
Project 2
Project 3
Project 4
Project 5
Project 6
Project 7
Project 8
2. Industry Partnerships and Joint Laboratories
Project 1
Project 2
Project 3
Official English company name was not provided in the submitted materials.
Project 4
Project 5