東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Medical and Health Technologies." ]

切換: 標籤 | MARC模式 | ISBD

Personalized medicine meets artifici...

Cesario, Alfredo.

FindBook

Google Book

Amazon

博客來

Personalized medicine meets artificial intelligence = beyond "hype", towards the metaverse /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Personalized medicine meets artificial intelligence/ edited by Alfredo Cesario ... [et al.].
其他題名:	beyond "hype", towards the metaverse /
其他作者:	Cesario, Alfredo.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xi, 281 p. :ill., digital ;24 cm.
內容註:	Part I. State of the Art -- Chapter 1. Personalized Medicine Through Artificial Intelligence: A Public Health Perspective -- Chapter 2. Artificial Intelligence and Digital Health: An International Biomedical Perspective -- Chapter 3. GDPR as a First Step Towards Free Flow of Data in Europe -- Chapter 4. Digital Therapeutics: Scientific, Technological, and Regulatory Challenges -- Chapter 5. Intelligence-Based Medicine: The Academic Perspective and Deep Humanism -- Part II. Consolidated Evidence -- Chapter 6. The Role of Big Data and Artificial Intelligence in Clinical Research and Digital Therapeutics -- Chapter 7. Systems Pharmacology for Immunotherapy: A Network Analysis of Signaling Pathways in Multiple Sclerosis for Combination Therapy Development -- Chapter 8. Approaches to Generating Virtual Patient Cohorts with Applications in Oncology -- Chapter 9. Artificial Intelligence and Deep Phenotyping in COVID-19 -- Chapter 10. Multilevel Modelling with AI: The Synergy-COPD Endeavour -- Chapter 11. Artificial Intelligence and Radiotherapy: Impact on Radiotherapy Workflow and Clinical Example -- Chapter 12. Artificial Intelligence in Surgery -- Part III. Emerging and Future Technologies -- Chapter 13. How Start-ups and Established Organisations Together Can Drive Meaningful Healthcare Innovation in Personalised Medicine and AI -- Chapter 14. Artificial Intelligence Augmented Medtech: Towards Personalized Patient Treatment -- Chapter 15. Quantum Computing: Promises and Challenges -- Chapter 16. Metaverse Means Better: How the Metaverse Continuum Is Evolving Healthcare to the Next Level -- Chapter 17. Patients' Reactions to Anthropomorphic Technologies in Healthcare. The Predictor Roles of Perceived Anthropomorphism and Human-Like Interaction: A Preliminarily Study -- Chapter 18. Some Ethical and Educational Perspectives on Using Artificial Intelligence in Personalized Medicine and Healthcare -- Chapter 19. The "Human Factor" Beyond Humans: Perspectives for an AI-Guided Personalized Medicine.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Medical applications. -
電子資源:	https://doi.org/10.1007/978-3-031-32614-1
ISBN:	9783031326141

Personalized medicine meets artificial intelligence = beyond "hype", towards the metaverse /
Personalized medicine meets artificial intelligencebeyond "hype", towards the metaverse /[electronic resource] :edited by Alfredo Cesario ... [et al.]. - Cham :Springer International Publishing :2023. - xi, 281 p. :ill., digital ;24 cm.

Part I. State of the Art -- Chapter 1. Personalized Medicine Through Artificial Intelligence: A Public Health Perspective -- Chapter 2. Artificial Intelligence and Digital Health: An International Biomedical Perspective -- Chapter 3. GDPR as a First Step Towards Free Flow of Data in Europe -- Chapter 4. Digital Therapeutics: Scientific, Technological, and Regulatory Challenges -- Chapter 5. Intelligence-Based Medicine: The Academic Perspective and Deep Humanism -- Part II. Consolidated Evidence -- Chapter 6. The Role of Big Data and Artificial Intelligence in Clinical Research and Digital Therapeutics -- Chapter 7. Systems Pharmacology for Immunotherapy: A Network Analysis of Signaling Pathways in Multiple Sclerosis for Combination Therapy Development -- Chapter 8. Approaches to Generating Virtual Patient Cohorts with Applications in Oncology -- Chapter 9. Artificial Intelligence and Deep Phenotyping in COVID-19 -- Chapter 10. Multilevel Modelling with AI: The Synergy-COPD Endeavour -- Chapter 11. Artificial Intelligence and Radiotherapy: Impact on Radiotherapy Workflow and Clinical Example -- Chapter 12. Artificial Intelligence in Surgery -- Part III. Emerging and Future Technologies -- Chapter 13. How Start-ups and Established Organisations Together Can Drive Meaningful Healthcare Innovation in Personalised Medicine and AI -- Chapter 14. Artificial Intelligence Augmented Medtech: Towards Personalized Patient Treatment -- Chapter 15. Quantum Computing: Promises and Challenges -- Chapter 16. Metaverse Means Better: How the Metaverse Continuum Is Evolving Healthcare to the Next Level -- Chapter 17. Patients' Reactions to Anthropomorphic Technologies in Healthcare. The Predictor Roles of Perceived Anthropomorphism and Human-Like Interaction: A Preliminarily Study -- Chapter 18. Some Ethical and Educational Perspectives on Using Artificial Intelligence in Personalized Medicine and Healthcare -- Chapter 19. The "Human Factor" Beyond Humans: Perspectives for an AI-Guided Personalized Medicine.

The book provides a multidisciplinary outlook on using Artificial Intelligence (AI)-based solutions in the field of Personalized Medicine and its transitioning towards Personalized Digital Medicine. The first section integrates different perspectives on AI-based solutions and highlights their potential in biomedical research and patient care. In the second section, the authors present several real-world examples that demonstrate the successful use of AI technologies in various contexts. These include examples from digital therapeutics, in silico clinical trials, and network pharmacology. In the final section of the book, the authors explore future directions in AI-enhanced biomedical technologies and discuss emerging technologies such as blockchain, quantum computing and the "metaverse". The book includes discussions on the ethical, regulatory, and social implications for an AI-based personalized medicine. The integration of heterogeneous disciplines brings together multiple stakeholders and decision makers involved in the personalization of care. Clinicians, students, and researchers from academia and the industry can benefit from this book, since it provides foundational knowledge to drive advances in personalized biomedical research and health care.

ISBN: 9783031326141

Standard No.: 10.1007/978-3-031-32614-1doiSubjects--Topical Terms:

900591
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.285

Personalized medicine meets artificial intelligence = beyond "hype", towards the metaverse /
LDR:04332nmm a2200325 a 4500 001 2333534
003 DE-He213
005 20230826082635.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031326141 $q (electronic bk.)
020 $a 9783031326134 $q (paper)
024 7 $a 10.1007/978-3-031-32614-1 $2 doi
035 $a 978-3-031-32614-1
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78
072 7 $a PSA $2 bicssc
072 7 $a SCI086000 $2 bisacsh
072 7 $a PSA $2 thema
082 0 4 $a 610.285 $2 23
090 $a R859.7.A78 $b P467 2023
245 0 0 $a Personalized medicine meets artificial intelligence $h [electronic resource] : $b beyond "hype", towards the metaverse / $c edited by Alfredo Cesario ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xi, 281 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I. State of the Art -- Chapter 1. Personalized Medicine Through Artificial Intelligence: A Public Health Perspective -- Chapter 2. Artificial Intelligence and Digital Health: An International Biomedical Perspective -- Chapter 3. GDPR as a First Step Towards Free Flow of Data in Europe -- Chapter 4. Digital Therapeutics: Scientific, Technological, and Regulatory Challenges -- Chapter 5. Intelligence-Based Medicine: The Academic Perspective and Deep Humanism -- Part II. Consolidated Evidence -- Chapter 6. The Role of Big Data and Artificial Intelligence in Clinical Research and Digital Therapeutics -- Chapter 7. Systems Pharmacology for Immunotherapy: A Network Analysis of Signaling Pathways in Multiple Sclerosis for Combination Therapy Development -- Chapter 8. Approaches to Generating Virtual Patient Cohorts with Applications in Oncology -- Chapter 9. Artificial Intelligence and Deep Phenotyping in COVID-19 -- Chapter 10. Multilevel Modelling with AI: The Synergy-COPD Endeavour -- Chapter 11. Artificial Intelligence and Radiotherapy: Impact on Radiotherapy Workflow and Clinical Example -- Chapter 12. Artificial Intelligence in Surgery -- Part III. Emerging and Future Technologies -- Chapter 13. How Start-ups and Established Organisations Together Can Drive Meaningful Healthcare Innovation in Personalised Medicine and AI -- Chapter 14. Artificial Intelligence Augmented Medtech: Towards Personalized Patient Treatment -- Chapter 15. Quantum Computing: Promises and Challenges -- Chapter 16. Metaverse Means Better: How the Metaverse Continuum Is Evolving Healthcare to the Next Level -- Chapter 17. Patients' Reactions to Anthropomorphic Technologies in Healthcare. The Predictor Roles of Perceived Anthropomorphism and Human-Like Interaction: A Preliminarily Study -- Chapter 18. Some Ethical and Educational Perspectives on Using Artificial Intelligence in Personalized Medicine and Healthcare -- Chapter 19. The "Human Factor" Beyond Humans: Perspectives for an AI-Guided Personalized Medicine.
520 $a The book provides a multidisciplinary outlook on using Artificial Intelligence (AI)-based solutions in the field of Personalized Medicine and its transitioning towards Personalized Digital Medicine. The first section integrates different perspectives on AI-based solutions and highlights their potential in biomedical research and patient care. In the second section, the authors present several real-world examples that demonstrate the successful use of AI technologies in various contexts. These include examples from digital therapeutics, in silico clinical trials, and network pharmacology. In the final section of the book, the authors explore future directions in AI-enhanced biomedical technologies and discuss emerging technologies such as blockchain, quantum computing and the "metaverse". The book includes discussions on the ethical, regulatory, and social implications for an AI-based personalized medicine. The integration of heterogeneous disciplines brings together multiple stakeholders and decision makers involved in the personalization of care. Clinicians, students, and researchers from academia and the industry can benefit from this book, since it provides foundational knowledge to drive advances in personalized biomedical research and health care.
650 0 $a Artificial intelligence $x Medical applications. $3 900591
650 0 $a Precision medicine. $3 3661411
650 1 4 $a Biological Sciences. $3 1363809
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Medical and Health Technologies. $3 3595637
700 1 $a Cesario, Alfredo. $3 3664366
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-32614-1
950 $a Biomedical and Life Sciences (SpringerNature-11642)