Human Digital Twins and Machine Learning Applications in Precision Medicine and Surgery: Current State and Future Directions DOI Creative Commons
Arindam Basu

Artificial intelligence, Journal Year: 2024, Volume and Issue: unknown

Published: June 10, 2024

Human digital twins (“HDT”) are one-on-one replicas of human beings, organs such as the heart and lungs, or pathophysiological processes immune systems, where physical counterparts tethered with each other. Critical to HDT is a connector (“bridge”) that links counterparts. Sensors on bodies obtain real-time data pass them through bridge twin. The twin runs artificial intelligence/machine learning (“AI/ML”) algorithms this input resulting output passed via connected being. This combination being, counterpart unique HDTs distinguishing from simulations, clones, assistants. prime drivers precision medicine personalised care. While most common clinical uses yet in cardiology surgery, technology will evolve, new be explored bring about paradigm shift medical In chapter we have discussed HDTs, principles, methods construction, use HDTs. We also discuss key limitations ethics related

Language: Английский

Digital twins as global learning health and disease models for preventive and personalized medicine DOI Creative Commons
Xinxiu Li, Joseph Loscalzo, A. K. M. Firoj Mahmud

et al.

Genome Medicine, Journal Year: 2025, Volume and Issue: 17(1)

Published: Feb. 7, 2025

Abstract Ineffective medication is a major healthcare problem causing significant patient suffering and economic costs. This issue stems from the complex nature of diseases, which involve altered interactions among thousands genes across multiple cell types organs. Disease progression can vary between patients over time, influenced by genetic environmental factors. To address this challenge, digital twins have emerged as promising approach, led to international initiatives aiming at clinical implementations. Digital are virtual representations health disease processes that integrate real-time data simulations predict, prevent, personalize treatments. Early applications DTs shown potential in areas like artificial organs, cancer, cardiology, hospital workflow optimization. However, widespread implementation faces several challenges: (1) characterizing dynamic molecular changes biological scales; (2) developing computational methods into DTs; (3) prioritizing mechanisms therapeutic targets; (4) creating interoperable DT systems learn each other; (5) designing user-friendly interfaces for clinicians; (6) scaling technology globally equitable access; (7) addressing ethical, regulatory, financial considerations. Overcoming these hurdles could pave way more predictive, preventive, personalized medicine, potentially transforming delivery improving outcomes.

Language: Английский

Citations

3
Advancements in digital twin modeling for underground spaces and lightweight geometric modeling technologies DOI

Haofeng Gong,

Dong Su,

Shiqi Zeng

et al.

Automation in Construction, Journal Year: 2024, Volume and Issue: 165, P. 105578 - 105578

Published: June 24, 2024

Language: Английский

Citations

10
Digital Twins’ Advancements and Applications in Healthcare, Towards Precision Medicine DOI Open Access

Konstantinos Papachristou,

Paraskevi Katsakiori, Panagiotis Papadimitroulas

et al.

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(11), P. 1101 - 1101

Published: Nov. 11, 2024

This review examines the significant influence of Digital Twins (DTs) and their variant, Human (DHTs), on healthcare field. DTs represent virtual replicas that encapsulate both medical physiological characteristics-such as tissues, organs, biokinetic data-of patients. These models facilitate a deeper understanding disease progression enhance customization optimization treatment plans by modeling complex interactions between genetic factors environmental influences. By establishing dynamic, bidirectional connections physical objects digital counterparts, these technologies enable real-time data exchange, thereby transforming electronic health records. Leveraging increasing availability extensive historical datasets from clinical trials real-world sources, AI can now generate comprehensive predictions future outcomes for specific patients in form AI-generated DTs. Such also offer insights into potential diagnoses, progression, responses. remarkable paves way precision medicine personalized health, allowing high-level individualized interventions therapies. However, integration faces several challenges, including security, accessibility, bias, quality. Addressing obstacles is crucial to realizing full DHTs, heralding new era personalized, precise, accurate medicine.

Language: Английский

Citations

9
Revolutionizing Healthcare: A Review Unveiling the Transformative Power of Digital Twins DOI Creative Commons
Adithya Balasubramanyam, Richa Ramesh, Rhea Sudheer

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 69652 - 69676

Published: Jan. 1, 2024

In the dynamic landscape of healthcare, Digital Twin (DT) technology has emerged as a transformative force, holding promise revolutionizing patient care and industry practices. This article surveys literature over period 2020 to 2023 on comprehensive exploration DT in elucidating its roles, benefits, implications for smart personalized healthcare. The study addresses fundamental questions concerning potential DT, investigating varied roles benefits revolutionary impact industry, essential requirements crafting system tailored demands research further unveils key layers necessary implementing healthcare system, examining applications that extend from diagnostics treatment strategies. Methodologically, paper navigates through different model discussions, providing structured approach understanding implementation Despite potential, delves into limitations challenges faced by technology, offering balanced perspective current state. conclusion, synthesizes findings, outlines methodologies, discusses challenges, sets stage future research, presenting holistic overview pitfalls, pathways integrating industry.

Language: Английский

Citations

7
The Rise of Digital Twins in Healthcare: A Mapping of the Research Landscape DOI Open Access

Sneha M Kuriakose,

Jeena Joseph,

A. Rajimol

et al.

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: July 25, 2024

The place of digital twin technology in any healthcare system is a truly disruptive innovation that has profound consequences all across medical research and practice. Digital twins represent the virtual replicas correspond to some physical entity by pulling real-time data streams from different sources model biological systems for health monitoring personalization treatment strategies. This paper presents detailed review current landscape into healthcare. Through bibliometric analysis, we obtained 1,663 publications 2012 2024, basically sourced Scopus database, establishing portion trends, productive authors, influential sources, collaboration networks this fast-evolving field. Descriptively, our results indicate although area started way back, bulk began be realized 2018 onwards, with appreciable contributions coming interdisciplinary fields artificial intelligence, machine learning, analytics. Even challenges interoperability other privacy concerns, change brought on undoubtedly considerable promise chronic disease management, predictive analytics, drug discovery, surgical planning. work brings immense insight new domain health, which shall set up strong foundation future area.

Language: Английский

Citations

7
Digital Twins for Healthcare Using Wearables DOI Creative Commons
Zachary D. Johnson, Manob Jyoti Saikia

Bioengineering, Journal Year: 2024, Volume and Issue: 11(6), P. 606 - 606

Published: June 13, 2024

Digital twins are a relatively new form of digital modeling that has been gaining popularity in recent years. This is large part due to their ability update real time physical counterparts and connect across multiple devices. As result, much interest directed towards using the healthcare industry. Recent advancements smart wearable technologies have allowed for utilization human healthcare. Human can be generated biometric data from patient gathered wearables. These then used enhance care through variety means, such as simulated clinical trials, disease prediction, monitoring treatment progression remotely. revolutionary method still its infancy, such, there limited research on wearables generate applications. paper reviews literature pertaining twins, including methods, applications, challenges. The also presents conceptual creating body sensors.

Language: Английский

Citations

5
Digital twin–based healthcare facilities management DOI

Amit Kumar Tyagi,

Richa Richa

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 47 - 65

Published: Jan. 1, 2025

Language: Английский

Citations

0
Towards a Healthier Hospital Environment: The Role of Digital Twins in Achieving Optimal Environmental Comfort DOI Creative Commons
Fabrizio Cumo, Anna Maria Giovenale, Elisa Pennacchia

et al.

Digital twins and applications., Journal Year: 2025, Volume and Issue: 2(1)

Published: Jan. 1, 2025

ABSTRACT Indoor environmental comfort is fundamental to human health as people spend 90% of their time indoors. This aspect even more crucial in hospitals, where the concept closely linked well‐being, ethics and aspects. Emerging methodologies technologies such digital twin, building information modelling, internet things, sensing data analytics offer new opportunities ensure healthier environments efficient management. paper provides an assessment how digitalisation can support decision‐making processes related maintaining high levels indoor hospital settings, particularly by analysing real‐time processing application machine learning promote proactive interventions these facilities. The methodological approach was based on four phases: defining objectives identifying input build feed model, KPIs evaluate system's correct functioning enabling be integrated into system achieve set goal. result a twin for managing operating room its services, with aim guiding decisions accurate improving operational efficiency, comfort, safety regarding diffusion medical gases.

Language: Английский

Citations

0
Digital Twin for Maintenance and Smart Manufacturing: The Mediating Role of Replacement Maintenance in the Saudi Industrial Sector DOI Creative Commons

Hamdy Elgebaly,

Basma Elhariry,

Amr Noureldin

et al.

Journal of Lifestyle and SDGs Review, Journal Year: 2025, Volume and Issue: 5(4), P. 06107 - 06107

Published: March 24, 2025

Objectives: This study examines the role of digital twin technology in optimizing maintenance within smart manufacturing. It explores mediating effect replacement on relationship between twins and manufacturing outcomes Saudi industrial sector, focusing energy efficiency, waste reduction, operational performance. Theoretical Framework: Grounded Industry 4.0 principles, this research highlights how enhances predictive resource optimization. aligns with Arabia’s Vision 2030 by promoting advanced solutions. Method: A quantitative approach is employed using structural equation modeling (SEM) to analyze data from 21 leading food industry companies, including Almarai, Savola, Al Mangal Foods, Wataniya Poultry. The evaluates twin-enabled strategies their impact Results Discussion: findings reveal that partially mediates Digital maintenance, reduces downtime, optimizes use, improved efficiency reduction. These support broader adoption technologies. Research Implications: underscores need for further exploration AI-driven analytics deeper integration improve sustainability. Originality/Value: provides empirical evidence offering valuable insights businesses aiming enhance production align initiatives.

Language: Английский

Citations

0
The Virtual Revolution of Digital Twins in Chronic Healthcare Management DOI

M Lavanya,

A. Ashwini,

S. Balasubramaniam

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 169 - 200

Published: March 28, 2025

The introduction of digital twin technology is transforming chronic disease management and ushering in a new era precision medicine proactive care. concept the virtual representation physical entity that uses real-time data to provide comprehensive up-to-date health status patient. In context management, these counterparts allow healthcare providers monitor patient real-time, predict progression develop personalized treatment strategies. This paradigm shift enables patients physicians move from reactive predictive preventive integration into not without its challenges. Issues such as privacy, interoperability need for robust computing infrastructure be addressed realize full potential. By fostering collaboration between providers, this innovation can redefine future deliver more effective solutions management.

Language: Английский

Citations

0