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2024 | OriginalPaper | Buchkapitel

Bedeutende Innovationen in naturinspirierten intelligenten Computertechniken zur Identifizierung von Biomarkern und potenziellen therapeutischen Mitteln

verfasst von : Kayenat Sheikh, Salwa Sayeed, Aisha Asif, Mohd Faizan Siddiqui, Misbahuddin M. Rafeeq, Ankita Sahu, Shaban Ahmad

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

Verlag: Springer Nature Singapore

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Zusammenfassung

Die Computerbiologie hat die Arbeitsweise von Gesundheitssystemen und biomedizinischer Technik verändert. Naturinspirierte intelligente Rechenansätze (NIIC) zur Vorhersage potenzieller Biomarker und Arzneimittelziele könnten eine erstaunliche Brücke zwischen Biologie/Natur und heutigen fortschrittlichen und anspruchsvollen Bereichen wie künstlicher Intelligenz, tiefem Lernen, computerbasiertem Sehen und anderen sein. Die Analyse von Krankheitsbiomarkern ist ein aufkommendes Interessengebiet. Mehrere molekulare Bewertungen wurden entwickelt, um Biomarker zu erkennen, die auf spezifische Therapien ansprechen. Die Erkennung dieser Moleküle und das Verständnis ihrer molekularen Mechanismen ist entscheidend für die Prognose von Krankheiten und die Entwicklung von Therapeutika in einem späten Stadium. Durchbrüche in der Genomik und transkriptionellen Analysen haben unser Verständnis der schlecht verstandenen genomischen Materie oder dunklen Materie erheblich erweitert. Die systematische Identifizierung von Krankheiten assoziierten lncRNAs hat unser Verständnis der zugrunde liegenden molekularen Mechanismen komplexer Krankheiten erweitert, aber es hat sich auch gezeigt, dass sie einen inhärenten Vorteil gegenüber proteinkodierenden Genen bei der Diagnose, Prognose und Behandlung von Krankheiten hat. Angesichts der geringeren Effizienz und der erhöhten Zeit- und Kostenbelastung biologischer Experimente hat sich die computergestützte Inferenz von Krankheiten assoziierten RNAs unter Verwendung von naturinspirierten intelligenten Rechenmethoden als vielversprechender Ansatz zur Beschleunigung der Untersuchung von lncRNA-Funktionen und zur Ergänzung des experimentellen Analysenwerts herausgestellt. In diesem Kapitel haben wir die Grundlagen der NIIC-Techniken, ihre Rolle bei der Diagnose verschiedener Krankheiten und ihre zukünftige Rolle in der Gesundheitsbranche diskutiert.

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Vorheriges Kapitel Die Rolle der naturinspirierten Intelligenz bei der genomischen Diagnose antimikrobieller Resistenzen

Nächstes Kapitel Von der Natur inspirierte Rechentechniken zur Entwicklung von Medikamenten und Therapeutika

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Titel: Bedeutende Innovationen in naturinspirierten intelligenten Computertechniken zur Identifizierung von Biomarkern und potenziellen therapeutischen Mitteln
verfasst von: Kayenat Sheikh
Salwa Sayeed
Aisha Asif
Mohd Faizan Siddiqui
Misbahuddin M. Rafeeq
Ankita Sahu
Shaban Ahmad
Verlag: Springer Nature Singapore
Buch: Von der Natur inspirierte intelligente Datenverarbeitungstechniken in der Bioinformatik
Print ISBN: 978-981-9978-07-6

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

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-981-99-7808-3_13

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