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akaturk Akademik ölçüm

Makale detayı · 2025 · article

Understanding the Functionality of Probiotics on the Edge of Artificial Intelligence (AI) Era

Dergi Fermentation
ISSN2311-5637
YÖKSİS OpenAlex Açık erişim · gold Üst %1
Yıl2025
Atıf33OpenAlex
Atıf38Semantic Scholar · 4 etkili
Yüzdelik%99,6
FWCI17,571,00 = dünya ortalaması
Scopus (SJR)Q1
WoS (JCR)Q2

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıFermentation
  • Katalog eşleşmesi (ISSN)Fermentation
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

This review focuses on the potential utilization of artificial intelligence (AI) tools to deepen our understanding of probiotics, their mode of action, and technological characteristics such as survival. To that end, this review provides an overview of the current knowledge on probiotics as well as next-generation probiotics. AI-aided omics technologies, including genomics, transcriptomics, and proteomics, offer new insights into the genetic and functional properties of probiotics. Furthermore, AI can be used to elucidate key probiotic activities such as microbiota modulation, metabolite production, and immune system interactions to enable an improved understanding of their health impacts. Additionally, AI technologies facilitate precision in identifying probiotic health impacts, including their role in gut health, anticancer activity, and antiaging effects. Beyond health applications, AI can expand the technological use of probiotics, optimizing storage survival and broadening biotechnological approaches. In this context, this review addresses how AI-driven approaches can be facilitated by strengthening the evaluation of probiotic characteristics, explaining their mechanisms of action, and enhancing their technological applications. Moreover, the potential of AI to enhance the precision of probiotic health impact assessments and optimize industrial applications is highlighted, concluding with future perspectives on the transformative role of AI in probiotic research.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

33atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 1 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2026 Storage-Time-Aware Chemometric Deep Learning Model for Predicting Phenolic Retention and Antioxidant Capacity in Kefir Enriched with Alginate-Encapsulated Grape Seed ExtractAtıf 0 · OpenAlex

Yazarlar

7
  1. Remziye Aşar 1
  2. Sinem Erenler 2
  3. DİLARA DEVECİOĞLU İSTANBUL TEKNİK ÜNİVERSİTESİ 3
  4. HÜMEYRA İSPİRLİ BAYBURT ÜNİVERSİTESİ 4
  5. HATİCE FUNDA KARBANCIOĞLU GÜLER İSTANBUL TEKNİK ÜNİVERSİTESİ 5
  6. HALE İNCİ ÖZTÜRK 6
  7. ENES DERTLİ 7