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2024 | OriginalPaper | Chapter

Anwendungen von naturinspiriertem Computing und künstlichen Intelligenzalgorithmen bei der Lösung von Komplikationen bei personalisierten Therapien

Authors : Ritu Karwasra, Kushagra Khanna, Nitin Sharma, Rishabh Malhotra, Shivkant Sharma, Surender Singh, Asim Ali, Saurabh Verma

Published in: Von der Natur inspirierte intelligente Datenverarbeitungstechniken in der Bioinformatik

Publisher: Springer Nature Singapore

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Zusammenfassung

Die personalisierte Medizin beinhaltet die Praxis, einen maßgeschneiderten Service für die Empfänger auf der Grundlage einiger spezifischer Faktoren zu liefern, die mit den Patienten zusammenhängen. Die Kenntnis der richtigen genetischen Informationen, des Lebensstils und der Umwelt kann dazu beitragen, die passende Therapie, Dosis oder das richtige System auszuwählen. Die Präzisionsmedizin hat das Potenzial, das Behandlungsverfahren entsprechend den Anforderungen der einzelnen Patienten zu modifizieren, indem sie den maximalen therapeutischen Wert mit einer erhöhten Sicherheitsmarge gewährleistet. Das naturinspirierte Rechnen (NIC) ermöglicht die Entwicklung neuer Rechentechniken durch Beobachtung des natürlich auftretenden Phänomens zur Lösung komplexer Probleme in verschiedenen Umgebungseinstellungen. Das letzte Jahrzehnt hat die Anwendung von NIC und künstlicher Intelligenz (KI) Techniken in der Entwicklung der personalisierten Medizin speziell für die Identifizierung von Krankheitsmustern und ihrer richtigen Therapie für präzise Behandlung bewiesen. Die Kontrolle von unerwünschten Arzneimittelreaktionen und Unterschieden beim Enzymmetabolismus bei Individuen wird ebenfalls von fortgeschrittenen NIC- und KI-Rechentools berücksichtigt. Sie helfen bei der Lösung verschiedener Probleme der personalisierten Medizin, einschließlich der Diagnose von Krankheiten und ihrer Behandlungen. Die Theorie und Anwendungen ausgewählter naturinspirierter Algorithmen für die Präzisionsmedizin werden überprüft, zusammen mit praktischen Anwendungen und einer Diskussion ihrer Vorteile und Einschränkungen.

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previous chapter Soziale, emotionale und ethische (SEE) Attribute, die unsere Bioinformatiksysteme konfigurieren, um die verborgenen Kräfte zur Gestaltung menschlicher Entscheidungen zu aktivieren

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Title: Anwendungen von naturinspiriertem Computing und künstlichen Intelligenzalgorithmen bei der Lösung von Komplikationen bei personalisierten Therapien
Authors: Ritu Karwasra
Kushagra Khanna
Nitin Sharma
Rishabh Malhotra
Shivkant Sharma
Surender Singh
Asim Ali
Saurabh Verma
Publisher: Springer Nature Singapore
Book: Von der Natur inspirierte intelligente Datenverarbeitungstechniken in der Bioinformatik
Print ISBN: 978-981-9978-07-6

Electronic ISBN: 978-981-9978-08-3

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-981-99-7808-3_11

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