AI-Driven Personalized Nutrition Apps and Platforms for Enhanced Diet and Wellness

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 125 - 158

Published: Feb. 13, 2025

Health is essential for general well-being and productivity, in order to properly meet dietary needs prevent lifestyle-related disorders, creative solutions such as personalized nutrition applications are required. Nutrition apps driven by artificial intelligence (AI) provide individualized nutritional health solutions. These track intake, physical activity, parameters using data-driven insights, sophisticated algorithms, user-centric design. Through gamification, voice assistants, chatbots, AI promotes customer involvement. In addition encouraging preventative healthcare, these systems can aid the prevention of obesity, malnutrition, chronic diseases. However, there still obstacles data privacy, algorithmic bias, legal concerns, validation databases. For precise dependable answers, cooperation between engineers, nutritionists, medical specialists essential.

Language: Английский

---

Impact of Vitamin D Levels on Clinical Outcomes in SARS-CoV-2 Infections

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Background and aim: Since its emergence in 2019, SARS-CoV-2 has caused the global COVID-19 pandemic, presenting significant challenges for healthcare systems worldwide. Extensive research focused on diagnostics, treatments, vaccine development to combat virus. Given need effective strategies reduce infection rates, disease progression, severity, this study aimed investigate potential role of vitamin D (25OHD) mitigating severity COVID-19. Methods: A cross-sectional was conducted evaluate relationship between serum levels symptoms. Vitamin were measured using Roche Diagnostics assay 100 SARS-CoV-2-infected patients confirmed by real-time polymerase chain reaction (PCR). Patients categorized as symptomatic or asymptomatic, correlation symptom analyzed. Results: The findings demonstrated that a proportion had below 20 ng/mL. In contrast, approximately 25% asymptomatic exceeding 30 Statistical analysis association low increased (p=0.007). Conclusion: This suggests deficiency may contribute supplementation could potentially risk severe disease. However, confirm these support recommendations, further research, including randomized controlled trials large-scale population studies, is necessary.

Language: Английский

---

Revolutionizing Food Safety in the Airline Industry: AI-Powered Smart Solutions

Trends in Food Science & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 104970 - 104970

Published: March 1, 2025

Language: Английский

---

Technology Leadership for Program Success

Advances in public policy and administration (APPA) book series, Journal Year: 2024, Volume and Issue: unknown, P. 489 - 506

Published: Dec. 5, 2024

In today's rapidly evolving business landscape, modern enterprises face unprecedented challenges in aligning technology initiatives with strategic goals. This chapter explores the integration of Artificial Intelligence (AI) and Agile methodologies to drive program success achieve digital transformation. By examining real-world case studies, highlights how AI-enhanced decision-making, predictive analytics, automation can be seamlessly integrated into workflows, enhancing flexibility, collaboration, innovation. The fusion AI not only accelerates development cycles but also fosters a data-driven culture, enabling respond swiftly changing market demands. provides actionable insights best practices for leaders harness synergy between methods, ensuring sustainable complex, dynamic environments.

Language: Английский

---

Data Engineering for AI in Healthcare From ETL to Advanced Analytics on Cloud Platforms for Smart Education

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 173 - 190

Published: Dec. 20, 2024

This chapter explores the pivotal role of data engineering in healthcare sector, particularly context artificial intelligence (AI) applications aimed at enhancing smart education and sustainable learning environments. The discussion begins with an overview lifecycle, emphasizing extraction, transformation, loading (ETL) processes essential for preparing advanced analytics. It delves into integration cloud platforms, highlighting their scalability, flexibility, accessibility managing vast datasets from diverse sources. further examines application AI techniques analysis, offering insights predictive modeling, machine learning, deep approaches that can improve outcomes educational initiatives.

Language: Английский

---

AI-Driven Network Optimization Improving Connectivity and User Experience Through Intelligent Design in Smart Education

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 59 - 76

Published: Dec. 20, 2024

In the evolving landscape of smart education, need for robust and efficient network connectivity is paramount delivering seamless learning experiences. This chapter explores integration AI-driven optimization techniques aimed at enhancing improving user experiences in educational environments. By leveraging intelligent design principles, this work examines how AI algorithms can dynamically manage resources, predict traffic patterns, facilitate adaptive environments that respond to real-time demands. Key topics include application machine performance monitoring, role optimizing bandwidth allocation, strategies ensuring reliability scalability networks. The also discusses case studies illustrating practical implementation optimization, showcasing improvements student engagement, accessibility, overall outcomes.

Language: Английский

---

Cloud-Native AI Applications Designing Resilient Network Architectures for Scalable AI Workloads in Smart Education

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 155 - 172

Published: Dec. 20, 2024

In the era of digital transformation, cloud-native AI applications have become integral to evolution smart education and sustainable learning environments. This chapter explores design implementation resilient network architectures tailored for scalable workloads within these domains. It delves into challenges optimizing AI-driven educational platforms, addressing concerns such as reliability, scalability, cost-effectiveness. By leveraging technologies, microservices, edge computing, this outlines strategies creating flexible, scalable, fault-tolerant systems that adapt dynamic demands modern Case studies from real-world in classrooms online platforms highlight practical implications benefits architectures. The further emphasizes role sustainability technology, focusing on energy-efficient infrastructure cloud resource management ensure environmentally responsible implementations.

Language: Английский

---

AI-Driven DevOps Transforming Software Delivery in the Cloud Era for Smart Education

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 43 - 58

Published: Dec. 20, 2024

This chapter explores the transformative role of AI-driven DevOps in enhancing software delivery processes within context smart education. As educational institutions increasingly adopt cloud technologies to support digital learning environments, integration Artificial Intelligence (AI) into practices becomes essential. outlines fundamental principles DevOps, including automation, continuous integration, and delivery, how these streamline development deployment. By leveraging AI, can achieve improved operational efficiency, rapid deployment tools, enhanced user experiences. The also highlights case studies demonstrating successful implementations education settings, showcasing benefits predictive analytics, intelligent data-driven decision-making.

Language: Английский

---