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Volume 2, Issue 1, 2024
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Advancement of Artificial Intelligence in Drug Discovery: A Comprehensive Review
The traditional drug discovery process is notoriously time-consuming, expensive, and damaged, with high failure rates. However, the recent surge in Artificial Intelligence (AI) has presented itself as a game-changer in this field. This comprehensive review delves into the profound impact of AI on various aspects of drug discovery, encompassing crucial stages like target identification, molecular analysis, compound screening, and e Read More
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Artificial Intelligence in Modernization of Pharmaceutical and Healthcare Industry: A Review
Authors: Moumita Das Kirtania, Dibya Sinha, Shreya Biswas, Sania Sultana and Ranjan KirtaniaArtificial intelligence (AI) falls under the purview of computer technology, which analyzes complex data and helps solve problems in different segments. Big Data, Machine Learning, and AI are currently being used by the major pharmaceutical industries to minimize time and costs and increase possibilities. Artificial intelligence is used in the pharmaceutical industry in diverse ways, such as drug discovery and developme Read More
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Artificial Intelligence in Pharmaceutical Industry: Revolutionizing Drug Development and Delivery
Artificial Intelligence (AI) has ushered in a profound revolution within the pharmaceutical sector, effectively streamlining the processes of drug development and delivery. The application of AI-driven tools and methodologies, including machine learning and natural language processing, in the realm of pharmaceutical research and development has yielded recent breakthroughs. This accelerated the drug discovery process by Read More
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Scientific Writing – ChatGPT Versus Real-time Output: Addressing Academician’s Concern
Authors: Firoz Anwar, Salman Bakr I. Hosawi, Fahad A. Al-Abbasi and Turky Omar AsarBackgroundThe advent of ChatGPT, an artificial intelligence (AI) model, has introduced new challenges in educational practices, particularly in the realm of scientific writing at higher educational institutions. The AI is trained on extensive datasets to generate scientific texts. Many professors and academicians express concerns about the inclusion of AI chatbots in project execution, interpretation, and writing within specialized subj Read More
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Intelligent Prediction of Photovoltaic Power Generation Considering Uncertainty Measurement
Authors: Guo-Feng Fan, Qing-Yi Ge, Si-Jie Ren, Shao-Xiang Hu and Wei-Chiang HongBackgroundAs a renewable energy, solar energy has the advantages of being non-polluting, clean, and renewable. With the variability of solar radiation, the complexity of meteorological factors, and other uncertain changes, how to measure its comprehensive uncertainty is very important.ObjectiveThe inherent regularity of the uncertainty behavior of photovoltaic power generation is revealed by the change proc Read More
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