APPLICATION OF ARTIFICIAL INTELLIGENCE (AI) IN BIOTECHNOLOGY AND MEDICINE
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Abstract
Artificial Intelligence (AI) is the creation of intelligent systems that perform tasks requiring human intelligence, such as learning, problem solving, and decision-making. Humans and AI systems work together. This study summarizes the potential of AI and its application in medicine, agriculture, and biology-based industries. AI in agriculture provides solutions for food security by adapting agricultural management in a changing climate. Extreme temperatures can reduce wheat yields by 6% per °C. Digitalization in agriculture improves the collection and recording of data on soil health. A reservoir of genetic resources for crops and soil is provided in biodiversity ecosystems, which are key for the diversity of micronutrients. Traditional medicine is widely used by 60% of the world’s population, and it originates from medicinal plants from wild populations. As the field of AI evolves with more trained algorithms, the potential for its application in epidemiology, studying host-pathogen interactions, and drug design expands. AI relies on digital technology and is applied in several areas of pharmacy, adaptive medicine, gene editing (CRISPR: a new revolution in genetic technology), radiography, image processing, and drug management.AI is used to identify patterns of new drugs, optimize existing therapies, and use an individual’s genomic data and other types of health data to develop personalized treatment plans tailored to their specific needs. It is also used for data analysis, e.g., electronic health records and wearable devices, to identify patterns and correlations that may indicate the presence of a particular disease, helping to improve diagnosis accuracy and enable earlier intervention to prevent disease progression, as well as for medical imaging to identify abnormalities and diagnose diseases.
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