Conveners
S26 Machine Learning and Digital Twin for Predictive Biofabrication
- Vaibhav Pal (The Pennsylvania State University)
- Will Shu (University of Strathclyde)
- Shery Huang (University of Cambridge)
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Shery Huang (University of Cambridge)16/09/2025, 11:00invited lecture
Cochlear implants restore hearing in patients with severe to profound deafness by delivering electrical stimuli inside the cochlea. Understanding stimulus current spread, and how it correlates to patient-dependent factors, is hampered by the poor accessibility of the inner ear and by the lack of clinically-relevant in vitro, in vivo or in silico models. Here, we present 3D printing-neural...
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Yuan Pang (Tsinghua University)16/09/2025, 11:20invited lecture
Biofabrication is an advanced technology that holds great promise for constructing highly biomimetic in vitro three-dimensional human organs. Such technology would help address the issues of immune rejection and organ donor shortage in organ transplantation, aiding doctors in formulating personalized treatments for clinical patients and replacing animal experiments. Artificial intelligence...
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Lisa Asciak (University of Strathclyde)16/09/2025, 11:40podium presentation
Introduction
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3D-printed physical organ models have revolutionised the surgical field with applications in training, planning, rehearsal, and patient education[1]. Recent advancements in digital health technologies, such as the introduction of digital twins (DT) in medicine, present further opportunities where these models could play an important role. By developing a mechanically-realistic,... -
Max Von Witzleben (Chair of Measurement and Sensor System Technique, TU Dresden)16/09/2025, 11:50podium presentation
Introduction
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Immunohistological staining remains the gold standard for visualizing specific cellular and tissue structures, but it involves complex, time-consuming protocols, specialized reagents, and expert personnel. Its application to three-dimensional constructs or organoids is further limited by penetration depth, uniformity, and reproducibility. Virtual stainingโdigitally generating... -
Sylwester Domaลski (Polbionica)16/09/2025, 12:00podium presentation
Artificial intelligence (AI) is rapidly evolving from an experimental curiosity to a robust companion throughout the scientific process. In the context of tissue engineering and biomaterials, AI is not limited to computational modeling or image processingโit now plays a supporting role at nearly every stage of the research lifecycle, from idea generation and literature review to experiment...
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Uri Breiman (CollPlant)16/09/2025, 12:10podium presentation
Introduction
Medical devices are being revolutionized with the development of new materials and manufacturing processes. Nowadays, technology enables accurate biofabrication of patient-specific parts, which, while holding high potential for providing the best solutions for patients, presents challenges in designing regulatory-approved devices. This becomes even more challenging once the...
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Jiezhong Shi (Imperial College London)podium presentation
Vasculature plays a crucial role in tissue engineering since it is essential for maintaining tissue viability by efficient nutrient and oxygen exchange as well as waste removal. The creation of biomimetic vascular networks is therefore critical for the development of functional tissue constructs. Sacrificial strategy has emerged as an effective method for engineering vascular structures by...
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