Hale İnci Öztürk

Dr. Hale İnci Öztürk

Food Engineering, Yıldız Technical University, Istanbul, İstanbul, Turkey (Türkiye)
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2017 in Journal of Functional Foods
Verified
Journal Article
Closed access
TDTALHA DEMİRCİ
TALHA DEMİRCİ
KAKübra Aktaş
Kübra Aktaş
DSDidem Sözeri
Didem Sözeri
HÖHale İnci Öztürk
Hale İnci Öztürk
NANihat Akın
Nihat Akın

1 April 2018 in LWT
Verified
Journal Article
Closed access
HÖHale İnci Öztürk
Hale İnci Öztürk
SASümeyye Aydın
Sümeyye Aydın
DSDidem Sözeri
Didem Sözeri
TDTALHA DEMİRCİ
TALHA DEMİRCİ
DSDurmuş Sert
Durmuş Sert
NANihat Akın
Nihat Akın


2 November 2020 in Journal of the Science of Food and Agriculture
Verified
Journal Article
Closed access
PDF file
EÖEdibe Rabia Özkan
Edibe Rabia Özkan
TDTALHA DEMİRCİ
TALHA DEMİRCİ
HÖHale İnci Öztürk
Hale İnci Öztürk
NANihat Akın
Nihat Akın

5 May 2025 in Fermentation
Verified
Journal Article
Open access
PDF file
RARemziye Aşar
Remziye Aşar
SESinem Erenler
Sinem Erenler
DDDilara Devecioglu
Dilara Devecioglu
HİHümeyra İspirli
Hümeyra İspirli
FKFunda Karbancioglu-Guler
Funda Karbancioglu-Guler
EDEnes Dertli
Enes Dertli
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.

1 January 2020 in LWT
Verified
Journal Article
Closed access
TDTALHA DEMİRCİ
TALHA DEMİRCİ
DSDurmuş Sert
Durmuş Sert
KAKübra Aktaş
Kübra Aktaş
DADidem Sözeri Atik
Didem Sözeri Atik
HÖHale İnci Öztürk
Hale İnci Öztürk
NANihat Akın
Nihat Akın