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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Microorganisms play a fundamental role in vaccine development, gene therapy, and therapeutic production. Their biological properties are harnessed to advance medicine and public health. Beyond immunization, microorganisms contribute to gut health, antibiotic synthesis, and genetic disease treatment.Live Attenuated and Inactivated VaccinesLive attenuated vaccines, such as the measles, mumps, and rubella (MMR) vaccine, utilize weakened forms of pathogens to closely resemble natural infections.
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  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Artificial Intelligence
  9. Knowledge Representation And Reasoning
  11. Active Inference Ai And The Spatial Web For Medicine: A New Paradigm For Medical Research, Treatment, And Education.
  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Artificial Intelligence
  9. Knowledge Representation And Reasoning
  11. Active Inference Ai And The Spatial Web For Medicine: A New Paradigm For Medical Research, Treatment, And Education.

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Active Inference AI and the Spatial Web for Medicine: A New Paradigm for Medical Research, Treatment, and Education.

Dan Mapes1,2

  • 1VERSES AI, Vancouver, British Columbia, Canada.

Cancer Journal (Sudbury, Mass.)
|November 18, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Active Inference AI, inspired by neuroscience, offers a precise alternative to Large Language Models for medicine. It enhances research, treatment, and education by leveraging domain-specific knowledge graphs.

Keywords:
Active Inference AILLMSpatial Webeducation

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Area of Science:

  • Artificial Intelligence in Medicine
  • Neuroscience-inspired AI
  • Computational Neuroscience

Background:

  • Current AI models like Large Language Models (LLMs) are general-purpose, data-intensive, and lack precision for specialized medical domains.
  • There is a need for AI that offers accuracy, adaptability, and interpretability in medical applications.
  • The Spatial Web is emerging as a new platform for global medical knowledge sharing.

Purpose of the Study:

  • To introduce Active Inference AI as a novel, domain-specific AI approach for medicine.
  • To highlight the synergistic potential of Active Inference AI and the Spatial Web.
  • To outline the applications of Active Inference AI in medical research, treatment, and education.

Main Methods:

  • Development of Active Inference AI, distinct from LLM technology.
knowledge graphs
medicine
research
treatment
  • Utilizing small, domain-specific models built on expert-curated knowledge graphs and factor graphs.
  • Integration with the Spatial Web for enhanced knowledge sharing.

    • Main Results:

    • Active Inference AI enables precise reasoning, learning, and decision-making in well-defined medical contexts.
    • This approach provides adaptability and interpretability superior to LLMs.
    • Potential to accelerate medical research, enhance treatments via digital twins and diagnostics, and revolutionize medical education.

    Conclusions:

    • Active Inference AI represents a significant advancement in AI for medicine, offering specialized capabilities.
    • The combination of Active Inference AI and the Spatial Web creates a powerful new paradigm for medical and scientific evolution.
    • This AI facilitates more accurate, explainable, and efficient medical knowledge creation, application, and dissemination.