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Design Example: Frog Muscle Response01:14

Design Example: Frog Muscle Response

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A student is tasked to work on an intriguing experiment involving an RL (Resistor-Inductor) circuit to study the muscle response of a frog's leg to electrical stimulation. The RL circuit plays a crucial role in this experiment, providing the means to control and measure the electrical impulses that trigger muscle contraction.
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Trust By Design: Enabling Responsible Precision Health Through Blockchain-Powered Digital Twins And Trusted AI.

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Blockchain and trusted artificial intelligence (AI) can power precision health digital twins, enhancing personalized medicine. Key focuses include governance, interoperability, and cybersecurity for resilient healthcare infrastructures.

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Area of Science:

  • Health Informatics
  • Artificial Intelligence
  • Blockchain Technology

Background:

  • Precision health aims to tailor medical treatment to individual characteristics.
  • Digital twins offer a virtual replica of a patient for simulation and analysis.
  • Integrating advanced technologies presents opportunities and challenges in healthcare.

Purpose of the Study:

  • To explore the convergence of blockchain, AI, and other technologies for precision health digital twins.
  • To discuss governance, interoperability, and cybersecurity in this context.
  • To examine the impact on advancing precision healthcare and personalized medicine.

Main Methods:

  • An executive session dialogue format was used.
  • Exploration of the synergy between blockchain, artificial intelligence, genomics, and 6G wireless technology.
  • Analysis of use cases in genomics, radiology, theranostics, and end-of-life care.

Main Results:

  • The convergence of these technologies can enable robust precision health digital twins.
  • Identified opportunities and barriers in implementing these advanced healthcare solutions.
  • Emphasized the critical role of trust, patient sovereignty, and resilient infrastructure.

Conclusions:

  • Blockchain and trusted AI are pivotal for responsible precision health digital twins.
  • Patient-centricity and secure, interoperable systems are essential for future healthcare.
  • The discussed technologies promise to significantly advance personalized medicine.