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Volume 2 Issue 12, December 2024

Deep generative models can generate synthetic data to tackle challenges inherent in real-world data within bioengineering and medicine. These challenges include concerns around privacy, biases in data, distributional shifts, underrepresentation of specific populations, and the scarcity of high-quality data. See Boris van Breugel et al

Cover image: Simon Bradbrook

Editorial

  • Biased and unrepresentative scientific data can lead to misleading conclusions and potentially harm patients. Artificial intelligence (AI) might be able to help make data more representative, but only if a standardized approach to assessing the quality of AI-generated data is established.

    Editorial

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Down to Business

  • Stress urinary incontinence (SUI), a frequently underdiagnosed condition that mainly affects women, lacks effective and long-term treatment options. MUVON Therapeutics has developed a tissue-engineered advanced therapy medicinal product for the treatment of SUI, based on autologous cells, which is being tested in a phase II clinical study — a challenging development effort.

    • Deana Mohr-Haralampieva
    • Steve Kappenthuler
    • Marcus Droege
    Down to Business
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Research Highlights

  • An article in Science Robotics presents a wireless bioelectronic robot that integrates living motor neurons and cardiomyocytes to power movement.

    • Caroline Beyer
    Research Highlight
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Reviews

  • Synthetic data can be created by deep generative models to address challenges associated with real data, such as privacy issues, bias and data scarcity. This Review discusses the generation and application of synthetic data in biomedicine and bioengineering, including quality assessment and validation.

    • Boris van Breugel
    • Tennison Liu
    • Mihaela van der Schaar

    Collection:

    Review Article
  • Synthetic gene circuits can endow cells with therapeutic functions. This Review discusses synthetic macromolecular systems, encompassing transcriptional, translational and post-translational mechanisms, that conditionally regulate protein expression and activity in response to specific internal or external stimuli, and their role in enhancing the therapeutic efficacy and safety of engineered cell therapies.

    • Ana Palma Teixeira
    • Martin Fussenegger
    Review Article
  • Volumetric compression is a pervasive phenomenon in the human body, manifesting during development, limb movement, digestion, tumorigenesis and injury. This Review provides an in-depth discussion of emerging engineering methods centred on volumetric compression, including foundational rationales, design principles and illustrative applications.

    • Yiwei Li
    • Ming Guo
    Review Article
  • Microbial catalysts must partition incoming substrate between synthesis of biomass and synthesis of a desired product. Two-stage bioprocesses can accommodate this tradeoff to maximize process productivity by temporal separation of growth and production phases. This Review discusses the challenges of maintaining a high metabolic activity during the production phase.

    • Kiyan Shabestary
    • Steffen Klamt
    • Elton P. Hudson
    Review Article
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