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

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Von der Natur inspirierte intelligente Datenverarbeitungstechniken in der Bioinformatik

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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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Authors and Affiliations

  1. Central Council for Research in Unani Medicine (CCRUM), Ministry of AYUSH, Govt of India, New Delhi, Indien

    Ritu Karwasra & Asim Ali

  2. Llyod Institute of Management and Technology, Greater Noida, Uttar Pradesh, Indien

    Kushagra Khanna & Rishabh Malhotra

  3. Shriram Murti College of Engineering & Technology (Pharmacy), Bareilly, Indien

    Nitin Sharma

  4. Department of Pharmacology, Gurugram University, Gurugram, Indien

    Shivkant Sharma

  5. Department of Pharmacology, All India Institute of Medical Sciences, New Delhi, Indien

    Surender Singh

  6. Tumor Biology, ICMR-National Institute of Pathology, New Delhi, Indien

    Saurabh Verma

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  1. Ritu Karwasra
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  2. Kushagra Khanna
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  3. Nitin Sharma
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  1. Department of Computer Sciences, Jamia Millia Islamia, New Delhi, India

    Khalid Raza

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Karwasra, R. et al. (2024). Anwendungen von naturinspiriertem Computing und künstlichen Intelligenzalgorithmen bei der Lösung von Komplikationen bei personalisierten Therapien. In: Raza, K. (eds) Von der Natur inspirierte intelligente Datenverarbeitungstechniken in der Bioinformatik. Springer, Singapore. https://doi.org/10.1007/978-981-99-7808-3_11

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