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Digital Twins for Predictive, Preventive Personalized, and Participatory Treatment of Immune-Mediated Diseases.

Author: BensonMikael

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
ReviewAn article that critically examines existing research on a particular topic and summarizes the current state of knowledge in the field.

Overview

This article discusses the potential and challenges of using digital twins to personalize and optimize drug treatment for individual patients, particularly focusing on immune-mediated inflammatory diseases. The author emphasizes the need for characterizing altered gene interactions on a genome-, cellulome-, and organ-wide scale for successful clinical translation.
Paper Details　
Original Abstract of the Article :
Digital twins are computational models of complex systems, which aim to understand and optimize those systems more effectively than would be possible in real life. Ideally, digital twins can be translated to individual patients, to characterize and computationally treat their diseases with thousands...See full text at original site
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引用元：
https://doi.org/10.1161/ATVBAHA.122.318331

データ提供：米国国立医学図書館（NLM）

Digital Twins: A New Frontier for Personalized Medicine

This research explores the exciting potential of [digital twins], a cutting-edge approach to understanding and treating complex diseases. These computational models offer a personalized approach to medicine, mimicking individual patients and their specific disease profiles. The authors explore the application of digital twins for [predictive, preventive, personalized, and participatory treatment] of immune-mediated diseases, such as autoimmune disorders. The study emphasizes the significant challenges associated with developing and applying these models, acknowledging the vast complexity of disease processes and the need for [advanced technologies and interdisciplinary collaboration].

The Promise of Personalized Medicine

The development of digital twins holds immense promise for transforming healthcare by enabling [individualized treatment strategies] based on a patient's unique genetic makeup and disease characteristics. This personalized approach could potentially lead to [more effective treatments, fewer side effects, and improved patient outcomes].

Implications for Future Healthcare

The study highlights the transformative potential of digital twins in [revolutionizing disease diagnosis, treatment, and prevention]. The development of these models requires ongoing research and collaboration between [scientists, clinicians, and technology experts], pushing the boundaries of healthcare innovation.

Dr. Camel's Conclusion

Imagine a vast desert landscape with each sand dune representing a unique individual. Digital twins are like virtual explorers, traversing these dunes to create personalized maps for navigating the complexities of individual disease profiles. This research offers a glimpse into the future of medicine, where digital tools help us tailor treatments to each patient's needs, making healthcare more precise and effective.
Date :
  1. Date Completed 2023-02-24
  2. Date Revised 2023-02-24
Further Info :

Pubmed ID

36700428

DOI: Digital Object Identifier

10.1161/ATVBAHA.122.318331

Related Literature

Article Analysis
・Effective treatment of twins
SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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