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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

V. Veeraraghavan

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4 papers indexed here

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Review Aug 2026

Age Estimation in Forensic Dentistry Using Artificial Intelligence: An Umbrella Review

Artificial intelligence (AI) frameworks, particularly deep learning architectures, have emerged as powerful tools to optimize the objectivity and efficiency of dental age estimation. This umbrella review systematically synthesized and critically appraised the current evidence from existing systematic reviews regard...

A. Supriya, V. Veeraraghavan, S. S et al. · 0 citations
Open access Jul 2026

Integrated proteomic profiling and in silico miRNA and lncRNA analysis of glucose-capped fisetin silver nanoparticle-mediated cell proliferation arrest in breast cancer

GF-Ag NPs can modulate the expression of key genes and signalling pathways involved in breast cancer progression and apoptosis, suggesting that GF-Ag NPs can modulate the expression of key genes and signalling pathways involved in breast cancer progression.

K. Subhalakshmi, V. Veeraraghavan, A. Sivagnanam et al. · 0 citations
Jul 2026

Network Predictions to Cellular Evidence: Exploring as a Multi-target Modulator in Head and neck squamous cell carcinoma.

BACKGROUND Head and neck squamous cell carcinoma (HNSCC) involves complex dysregulation of metabolic, inflammatory, and proliferative pathways, limiting the effectiveness of single target therapies. Medicinal plants containing multiple bioactive compounds may provide complementary strategies to modulate cancer related...

Chandini Rajkumar, Saranya Ramsridhar, V. Veeraraghavan et al. · 1 citation
Open access Jul 2026

Predictive Analysis for Success and Complications in Dental Implant Therapy using Artificial Intelligence Models

AI-based modeling offers a robust, data-driven approach for predicting dental implant success by integrating multifactorial clinical parameters and incorporating such models into clinical workflows can enhance patient-specific risk assessment and improve long-term implant outcomes.

V. Veeraraghavan, A. Jebin A, Isha Dusane et al. · 0 citations

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