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Revolutionizing Healthcare: Harnessing AI for Antibiotic Stewardship and Precision Medicine George Edison
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 2 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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The applications of artificial intelligence (AI) in drug development to combat antibiotic resistance, precision medicine, and antimicrobial stewardship are the main topics of this review, which examines the relationship between AI and antibiotic management and healthcare. The review emphasizes the revolutionary potential of AI in improving patient outcomes, optimizing antibiotic therapy, and tackling the worldwide problem of antibiotic resistance through a thorough analysis of recent research, case studies, and future prospects. The creation of AI-powered prediction models for antibiotic resistance, the incorporation of AI into clinical decision support systems, and the progression of gnomically-driven precision medicine techniques are some of the major themes. In addition, the paper addresses the difficulties and moral questions pertaining to the application of AI in clinical practice, such as concerns about algorithmic bias, data privacy, regulatory compliance, and provider acceptability. Researchers, physicians, legislators, and industry stakeholders can use artificial intelligence (AI) to transform antibiotic management and influence the course of infectious diseases in the future by placing a high priority on openness, cooperation, and interdisciplinary interaction.

Harnessing Artificial Intelligence in Healthcare and Petroleum Industries Advances in Fraud Detection and Novel Approaches in Cancer Medicine George Edison
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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This review explores the transformative role of artificial intelligence (AI) in enhancing sustainability and operational efficiency in the healthcare and petroleum industries. It highlights the potential of AI technologies to revolutionize patient care through improved diagnostics, personalized medicine, and optimized resource allocation in healthcare, while also addressing critical ethical considerations such as data privacy, algorithmic bias, and accountability. In the petroleum sector, AI applications in resource extraction, predictive maintenance, and emissions monitoring present significant opportunities for reducing environmental impact and increasing operational efficiency. The review emphasizes the necessity of establishing ethical frameworks and regulatory standards to navigate the complexities associated with AI deployment, ensuring that its benefits are distributed equitably across diverse populations. Furthermore, it underscores the importance of collaboration among stakeholders, including policymakers, industry leaders, and ethicists, to promote responsible AI usage that prioritizes sustainability and equity. By harnessing AI's capabilities thoughtfully, both sectors can advance toward a more efficient, equitable, and sustainable future while addressing the pressing challenges of our time.

Developments in Artificial Intelligence for Petroleum Industry Fraud Detection and cybersecurity: An Extensive Analysis and Learnings from Animal Behavior George Edison
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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This thorough analysis looks at how animal behavior insights and artificial intelligence (AI) can be combined to improve fraud detection in a variety of sectors. Novel techniques for detecting and thwarting fraudulent actions are created by utilizing cutting-edge AI technologies and taking cues from resilient and adaptable animal behaviors. The study explores the convergence of AI and animal behavior, reviews the historical development of AI in fraud detection, and emphasizes the creation and application of hybrid models. Important case studies from industries including banking, e-commerce, healthcare, telecommunications, and energy show how these integrative solutions can be successfully used in real-world situations. The paper also discusses upcoming technologies, industry-specific innovations, and the significance of ethical considerations as future prospects in AI-driven fraud detection. To guarantee the appropriate use of AI, privacy concerns, bias and fairness, openness and accountability, and regulatory compliance are carefully considered. This work highlights the possibilities and difficulties of this multidisciplinary approach to fraud detection by presenting a multifaceted picture of AI and animal-inspired methods. This will help researchers, practitioners, and policymakers make informed decisions.

Cutting-Edge Applications of Artificial Intelligence in Healthcare, Petroleum Fraud Detection, and Innovative Strategies in Cancer Treatment George Edison
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4892

Artificial intelligence (AI) integration in the petroleum and healthcare sectors is quickly changing operating procedures and improving results in both domains. This overview examines the various applications of AI, including fraud detection, tailored medicine, and cancer diagnosis. By evaluating enormous datasets from several sources, such as genetic and electronic health records, artificial intelligence (AI) tools in the healthcare industry greatly increase diagnostic accuracy, enable early diagnosis, and customize treatment plans. AI-supported telemedicine and remote monitoring improve patient access to care and streamline healthcare delivery. By forecasting equipment failures, detecting fraudulent activity, and improving drilling operations, artificial intelligence (AI) improves operational efficiency in the petroleum industry, lowering costs and increasing safety. Notwithstanding these developments, there are still several obstacles to the successful application of AI, including issues with data quality, algorithmic bias, regulatory compliance, and ethical considerations. Strong data management procedures, openness in AI decision-making, and interdisciplinary cooperation between technologists, medical practitioners, and industrial stakeholders are all necessary to meet these issues. With possible advancements in big data integration, AI-driven telemedicine, and predictive analytics, the future of AI in various fields is marked by ongoing innovation. The entire potential of AI technology will eventually be unlocked by adopting responsible AI practices and encouraging teamwork, which will result in better patient outcomes, more operational integrity, and sustainable growth in a landscape that is becoming more complicated by the day.

Revolutionizing Healthcare: The Role of Artificial Intelligence in Cancer Medicine and Resistance Management George Edison
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.5256

I will write about use of AI in healthcare and how it is altering practice of medicine and advancement in the practice of research in general healthcare. This paper shall therefore make efforts at highlighting the critical use of AI in dealing with antibiotic stewardship and resistance, synthesize new ideas involving the concept to enhance the utilization of antibiotics, reduce on resistance as well as promote the wellbeing of patients. Such comparability is made to improvement in cancer treating, where the AI is enhancing the early diagnoses, unique patient treatment, and biopharmaceuticals and cancer resistances tracking. However, with the use of machine learning, predictive modelling and data analytics, AI is providing solution based on problems that cannot be solved directly using the diseases and cancer. Thus, despite the fact that this paper provided just some examples of AI’s application in two fairly significant spheres of healthcare, it is possible to confidently state that employing the given technologies may bring efficient amendment in the spheres of medical practice and enhance the health of people all over the globe.

Cutting-Edge Applications of Artificial Intelligence in Healthcare, Petroleum Fraud Detection, and Innovative Strategies in Cancer Treatment George Edison
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4892

Artificial intelligence (AI) integration in the petroleum and healthcare sectors is quickly changing operating procedures and improving results in both domains. This overview examines the various applications of AI, including fraud detection, tailored medicine, and cancer diagnosis. By evaluating enormous datasets from several sources, such as genetic and electronic health records, artificial intelligence (AI) tools in the healthcare industry greatly increase diagnostic accuracy, enable early diagnosis, and customize treatment plans. AI-supported telemedicine and remote monitoring improve patient access to care and streamline healthcare delivery. By forecasting equipment failures, detecting fraudulent activity, and improving drilling operations, artificial intelligence (AI) improves operational efficiency in the petroleum industry, lowering costs and increasing safety. Notwithstanding these developments, there are still several obstacles to the successful application of AI, including issues with data quality, algorithmic bias, regulatory compliance, and ethical considerations. Strong data management procedures, openness in AI decision-making, and interdisciplinary cooperation between technologists, medical practitioners, and industrial stakeholders are all necessary to meet these issues. With possible advancements in big data integration, AI-driven telemedicine, and predictive analytics, the future of AI in various fields is marked by ongoing innovation. The entire potential of AI technology will eventually be unlocked by adopting responsible AI practices and encouraging teamwork, which will result in better patient outcomes, more operational integrity, and sustainable growth in a landscape that is becoming more complicated by the day.

Revolutionizing Healthcare: The Role of Artificial Intelligence in Cancer Medicine and Resistance Management George Edison
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.5256

I will write about use of AI in healthcare and how it is altering practice of medicine and advancement in the practice of research in general healthcare. This paper shall therefore make efforts at highlighting the critical use of AI in dealing with antibiotic stewardship and resistance, synthesize new ideas involving the concept to enhance the utilization of antibiotics, reduce on resistance as well as promote the wellbeing of patients. Such comparability is made to improvement in cancer treating, where the AI is enhancing the early diagnoses, unique patient treatment, and biopharmaceuticals and cancer resistances tracking. However, with the use of machine learning, predictive modelling and data analytics, AI is providing solution based on problems that cannot be solved directly using the diseases and cancer. Thus, despite the fact that this paper provided just some examples of AI’s application in two fairly significant spheres of healthcare, it is possible to confidently state that employing the given technologies may bring efficient amendment in the spheres of medical practice and enhance the health of people all over the globe.

Revolutionizing Energy Harvesting: Solar Cell Integration with Radio Waves for AI, IT, and Business Applications George Edison
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 4 (2023): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i2.3210

The dynamic convergence of solar cell technologies, radio waves, information technology (IT), artificial intelligence (AI), and business applications is examined in this study. The combination of these technological components has created a diverse array of innovative opportunities that provide cost-effective, environmentally friendly, and game-changing solutions for a range of businesses. We start by exploring the basic ideas behind solar cells, demonstrating their ability to transform light from the sun into electrical energy, and looking at the various kinds of solar cells and how they work together to gather energy. With uses ranging from off-grid, rural locations to space exploration and residential and commercial installations, solar cells have emerged as key players in the shift to clean, renewable energy sources. Next, we delve into the world of radio waves, which are essential to radar systems, wireless communication, remote sensing, and other fields. We clarify the various uses of radio waves and the difficulties they pose, paving the way for their cooperation with solar cell technology. The combination of radio waves with solar cells opens up new opportunities for business, IT, and artificial intelligence applications. With this connection, off-grid communication networks may be made more sustainable and wireless devices and sensors can be installed in remote or energy-constrained areas. There could be a huge impact on AI-driven applications such as Internet of Things (IoT), smart cities, precision agriculture, and remote data collection. Integration of solar-powered radio wave technology improves sustainability, resilience, and connectedness in the field of information technology. It enables companies to improve supply chain operations, lower energy costs, operate profitably in isolated or disaster-prone places, and support sustainable practices. Among the noteworthy trends influencing the IT sector are edge computing and digital inclusion. We also examine the significant effects of solar-powered radio wave technologies on the business sector. It increases supply chain optimization, energy efficiency, environmental monitoring, and remote monitoring and control. Key themes in this environment include resilience, scalability, and sustainability. Businesses are looking for creative ways to adapt to changing customer demands and legal obligations.

Revolutionizing Solar Power: Harnessing the Potential of Radio wave-Augmented Solar Cells for Clean Energy Unleashed" George Edison
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 2 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Research at the nexus of radio wave and solar cell technology has been stimulated by the hunt for cleaner and more effective energy sources. This review article digs into the developing world of radio wave-augmented solar cells, examining the many facets that characterize the potential and difficulties of this technology. Ten topics that jointly explain the complex interrelationship between radio waves and solar cells make up the review's organizational framework. In the first section, the idea and significance of radio wave-augmented solar cells are introduced, providing light on the possibility of using radio waves as a second energy source in addition to conventional solar radiation. The investigation then focuses on the propagation characteristics and rectification mechanisms that allow the conversion of radio wave energy into usable electricity, as well as the nature of radio wave energy and how it interacts with solar cells. One of the main goals of the review is to comprehend the mechanics underlying the interaction between radio waves and solar cells. This section explains the rectification concept, which enables the conversion of alternating radio wave currents into direct current electricity and is motivated by nonlinear electrical responses within particular materials. When radio wave energy is added to conventional solar radiation to improve energy conversion, dual-energy-input systems are built on the foundation of this rectification process. After that, a comprehensive analysis of the benefits and drawbacks of radio wave-augmented solar cells follows. Extended operational windows, consistent energy generation, adaptability in application circumstances, and better energy accessibility are some of these benefits. On the other hand, issues including efficiency trade-offs, material compatibility, technical complexity, cost factors, and technological maturity present difficulties. The parts that follow examine current research, efficiency enhancements, environmental effects, and the incorporation of radio wave technologies into already-built solar infrastructure. Exploration of developments in materials science, nanotechnology, and tandem solar cell topologies highlights the possibility for increased performance and efficiency. The paper then broadens its focus to explore the larger implications of radio wave-augmented solar cells, including grid integration, commercial feasibility, and energy storage issues, in addition to environmental sustainability and energy accessibility. The review stresses possible pathways for efficiency breakthroughs, scalability, hybrid integration, and technical synergy when taking into account the technology's future possibilities. However, it also recognises problems like the development of new materials, the complexity of engineering, the precise measurement of improvements, standardization, laws, and economic feasibility. Solar cells that have been enhanced by radio waves are showing promise as a revolutionary new source of renewable energy. To fully utilize this technology, the review emphasizes the necessity of interdisciplinary cooperation, materials science innovation, engineering ingenuity, and thorough testing. Radio wave-augmented solar cells provide a glimpse into a future where varied energy sources come together to alter our approach to energy generation and pave the way for a more robust and sustainable energy environment as the worldwide search for cleaner energy grows more intense.

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