This workshop offers an in-depth exploration of the integration of specific digital technologies in enhancing robotic-assisted procedures within the field of regenerative medicine, with a focus on applications such as tissue engineering and organ regeneration. Participants will be introduced to the conceptualisation of cutting-edge technologies, including intraoperative imaging for real-time visualisation, augmented reality systems for enhanced surgical navigation, and AI-driven predictive analytics designed to improve surgical precision and optimize patient outcomes. The workshop will specifically address how these advancements contribute to reducing revision surgeries and complications, such as infections and graft failure, by enabling meticulous interventions and continuous monitoring. Designed for orthopaedic surgeons, urologists, healthcare administrators, biomedical engineers, and researchers in regenerative medicine, this workshop include case studies illustrating notable implementations of digital solutions and their transformative impact on clinical efficacy and patient safety. Attendees will leave with actionable insights and frameworks advanced awareness and selected practices in the rapidly evolving domain of regenerative medicine.
This workshop provides essential insights into how artificial intelligence (AI) is transforming the dynamic field of regenerative medicine. Designed for healthcare professionals, biotechnology experts, AI developers, healthcare IT specialists, and graduate students, this workshop explores the transformative applications of AI in advancing research and enhancing personalised therapies. Participants will explore core AI principles, predictive modelling, and patient-specific data analysis, all aimed at improving therapeutic outcomes. Additionally, the workshop focuss on AI's role in optimising manufacturing processes, ensuring quality control, and addressing ethical considerations in clinical implementation. Selected real-world case studies are utilised as concrete examples of successful AI applications in regenerative medicine, allowing attendees to connect theory with practice. By participating, actionable insights and strategies to effectively integrate AI into the field of regenerative medicine and contribute to innovation in patient care.
This workshop introduces the transformative potential of Generative AI in regenerative medicine, focusing on innovations in tissue engineering, cell therapy, and drug discovery. Targeted at healthcare professionals, biotechnology experts, AI developers, and students, participants will engage in interactive discussions and hands-on sessions utilising AI demonstration tools. Key learning outcomes include understanding Generative AI principles, practical applications, and ethical considerations in regenerative medicine. Real-world case studies are utilised to demonstrate impact on improving patient outcomes and personalising treatments. This workshop facilitates multidisciplinary collaboration, networking and knowledge exchange to empower attendees to understand and reflect on integrate AI techniques into their work, enhancing innovation and effectiveness in regenerative medicine.
This workshop explores the transformative impact of generative AI on data management and analytics in regenerative medicine research and development. Participants will learn how generative AI enhances data enrichment and simulation, predictive modelling in drug discovery, and the automation of data integration from diverse sources. The workshop also covers how AI improves quality control, optimizes clinical trial designs, and enables personalized treatment strategies by predicting patient responses to therapies. Through real-world examples and case studies, attendees will gain insights into utilising generative AI methods, techniques and tooling for better data-driven decision-making, ultimately facilitating innovation and improving outcomes in regenerative medicine.
This advanced workshop is focused on the critical role of generative AI in genomics and personalised medicine, specifically its applications within regenerative therapy. Designed for experienced healthcare professionals, advanced biotechnology experts, genomics specialists, and data scientists, this workshop covers complex methods and insights on utilising AI in drug discovery, predictive gene expression modelling, and the identification of precise CRISPR targets for individual patients. More specifically, the workshop addresses advanced generative AI techniques for genomic data analysis, applying AI-driven predictive analytics to enhance personalised treatment strategies, and the ethical and regulatory considerations of integrating AI into clinical workflows. Through in-depth discussions and real-world case studies, participants will be capacitated to implement innovative AI solutions that advance regenerative therapies and improve patient outcomes in personalised medicine.
This advanced workshop focuses on the critical role of requirements engineering in developing regulatory frameworks for regenerative medicine. Aimed at regulators, healthcare professionals, biotechnology experts, quality assurance specialists, and graduate students, this workshop addresses the integration of generative AI into regulatory practices. Participants will explore automated requirements generation, stakeholder engagement through natural language processing, and AI-driven simulations for impact analysis. Learning outcomes include understanding the principles of requirements engineering, techniques for effective stakeholder elicitation, and strategies for ensuring compliance with international standards. The workshop also addresses the ethical and legal considerations of regenerative medicine regulatory frameworks. By examining case studies and practical applications, attendees will be empowered through utilising generative AI in developing robust, compliant, and ethical regulatory frameworks for regenerative medicine.
This workshop focuses on the integration of digital regenerative medicine across healthcare practice, patient sociotechnical systems, pharmaceutical industries, and regulatory bodies. Aimed at healthcare professionals, administrators, pharmaceutical and biotech experts, regulatory specialists, patient advocates, and graduate students, this workshop discussed innovative strategies for such effective integration. Participants will explore how generative AI can enhance personalised treatment plans, assess patient outcomes, streamline regulatory submissions, and enhance patient engagement platforms. Learning outcomes include understanding the role of AI in improving patient engagement and health outcomes, strategies for integrating digital solutions, and navigating regulatory landscapes. Through real-world examples and case studies, attendees will gain practical insights into implementing digital regenerative medicine effectively, facilitating collaboration to improve patient care in an evolving healthcare landscape.
This workshop focuses on the integration of digital health technologies and generative AI in advancing cell therapy, targeting an audience of healthcare professionals, oncologists, cell therapy researchers, healthcare IT specialists, pharmaceutical experts, and graduate students. Participants will explore how AI and other digital tools can optimise cell therapy development, improve patient outcomes, and streamline operational processes. Key learning outcomes include understanding the role of generative AI in enhancing cell selection and manufacturing processes, utilising real-time patient monitoring and personalised treatment protocols, and employing data analytics to track patient outcomes. This workshop also addresses the challenges associated with integrating digital solutions in clinical workflows, including ethical considerations and regulatory compliance. Through case studies and practical examples, attendees will gain actionable insights on effectively harnessing digital health technologies to critically impact cell therapy.
This workshop focuses on the transformative impact of digital technologies, particularly generative AI, on tissue engineering. Targeting tissue engineers, healthcare IT specialists, biotechnology professionals, regenerative medicine clinicians, and graduate students, this workshop aims to provide a comprehensive understanding of how AI, computational modelling, and 3D bioprinting revolutionise tissue engineering processes. Participants will explore the fundamental principles of digital tissue engineering, including the optimisation of scaffold designs, the implementation of 3D bioprinting techniques, and the use of AI in automating cell selection and predicting tissue performance. Learning outcomes include mastering the integration of computational modelling to enhance tissue design, addressing challenges related to scalability, regulatory compliance, and ethical considerations, and examining real-world case studies that highlight successful applications of digital technologies in tissue engineering.
This workshop provides an in-depth exploration of the transformative role of advanced digital technologies, particularly generative AI, in revolutionising regenerative medicine. Designed for an advanced audience including experienced healthcare professionals, biotechnology and pharmaceutical leaders, healthcare IT specialists, policymakers, and doctoral students, the workshop focuses on complex, real-world case studies that highlight innovative applications, challenges, and solutions in integrating digital tools within regenerative therapy. Participants will examine advanced case studies that demonstrate the use of generative AI for optimising drug discovery processes, utilising 3D bioprinting to fabricate complex tissue constructs, and personalising treatment plans through predictive analytics. Case studies on the applications of real-time patient monitoring systems to dynamically adjust therapy protocols based on biometric feedback are discussed, focusing on the role of AI in enhancing clinical trial efficiency through data-driven recruitment strategies and patient-specific therapy design. Also insights into navigating ethical and regulatory hurdles, and strategies for implementing scalable solutions in clinical practice are explored.
This workshop focuses on the strategic establishment of regenerative medicine centres within healthcare institutions, emphasising the role of generative AI and digital technologies. Targeted at advanced audience that includes healthcare executives, clinicians, biotechnology and pharmaceutical leaders, healthcare IT specialists, regulatory experts, and doctoral students, this workshop aims to provide comprehensive insights into the integration of regenerative medicine in clinical practice and research. Participants will explore advanced case studies demonstrating how generative AI optimises treatment protocols, enhances tissue engineering designs, and streamlines clinical trial processes. Learning outcomes include understanding the key infrastructure and resources necessary for establishing a successful regenerative medicine centre, navigating regulatory compliance, and leveraging AI-driven tools for patient monitoring and treatment personalisation. Ethical issues, financial planning, and best practices drawn from existing regenerative medicine centres that have successfully integrated AI and digital technologies are explored.