Towards sustainable agriculture: Harnessing AI for global food security

Artificial Intelligence in Agriculture, Journal Year: 2024, Volume and Issue: 12, P. 72 - 84

Published: April 30, 2024

The issue of food security continues to be a prominent global concern, affecting significant number individuals who experience the adverse effects hunger and malnutrition. finding solution this intricate necessitates implementation novel paradigm-shifting methodologies in agriculture sector. In recent times, domain artificial intelligence (AI) has emerged as potent tool capable instigating profound influence on sectors. AI technologies provide advantages by optimizing crop cultivation practices, enabling use predictive modelling precision techniques, aiding efficient monitoring disease identification. Additionally, potential optimize supply chain operations, storage management, transportation systems, quality assurance processes. It also tackles problem loss waste through post-harvest reduction, analytics, smart inventory management. This study highlights that how utilizing power AI, we could transform way produce, distribute, manage food, ultimately creating more secure sustainable future for all.

Language: Английский

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The role of biotechnology in healthcare: A review of global trends

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(1), P. 2740 - 2752

Published: Jan. 30, 2024

As healthcare systems strive to meet the evolving demands of an ever-changing landscape, biotechnology emerges as a pivotal force driving transformative advancements. This comprehensive review explores multifaceted role in healthcare, examining global trends that underscore its profound impact on diagnostics, treatment modalities, and overall landscape delivery. The study begins by elucidating fundamental principles diverse applications healthcare. From genomics personalized medicine, biotechnological innovations are reshaping understanding diseases, enabling tailored interventions based individual genetic profiles. delves into burgeoning field precision where tools empower clinicians deliver targeted therapies, optimize outcomes, minimize adverse effects. integration platforms including advanced imaging techniques liquid biopsies, is transforming early detection monitoring ushering era proactive Moreover, characterized collaborative research initiatives cross-disciplinary partnerships. interconnectedness with artificial intelligence data analytics explored, highlighting synergistic potential unlocking intricate patterns within vast datasets inform more precise effective strategies. accelerates development novel therapeutics, gene cell addresses ethical considerations, regulatory frameworks, accessibility challenges. It critically analyzes disparities adoption advancements across systems, emphasizing need for equitable access ensure benefits reach populations worldwide. In conclusion, elucidates extends beyond scientific breakthroughs encompass paradigm shift. By continents, it underscores power fostering new precision, innovation, unwavering commitment improving patient outcomes scale.

Language: Английский

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Data Management in Biobanking: Strategies, Challenges, and Future Directions

BioTech, Journal Year: 2024, Volume and Issue: 13(3), P. 34 - 34

Published: Sept. 2, 2024

Biobanking plays a pivotal role in biomedical research by providing standardized processing, precise storing, and management of biological sample collections along with the associated data. Effective data is prerequisite to ensure integrity, quality, accessibility these resources. This review provides current landscape biobanking, discussing key challenges, existing strategies, potential future directions. We explore multiple aspects management, including collection, storage, curation, sharing, ethical considerations. By examining evolving technologies methodologies we aim provide insights into addressing complexities maximizing utility biobank for clinical applications.

Language: Английский

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Systems Biology and Machine Learning Identify Genetic Overlaps Between Lung Cancer and Gastroesophageal Reflux Disease

OMICS A Journal of Integrative Biology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 13, 2024

One Health and planetary health place emphasis on the common molecular mechanisms that connect several complex human diseases as well ecosystem health. For example, not only lung cancer (LC) gastroesophageal reflux disease (GERD) pose a significant burden health, but also coexistence of GERD in patients with LC is often associated poor prognosis. This study reports genetic overlaps between these two conditions using systems biology-driven bioinformatics machine learning-based algorithms. A total nine hub genes including

Language: Английский

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Supporting social justice through equity‐based actions for a sustainable future in animal genetics (at the 39th International Society for Animal Genetics Conference)

Animal Genetics, Journal Year: 2025, Volume and Issue: 56(1)

Published: Jan. 28, 2025

Abstract The 39th International Society for Animal Genetics conference (ISAG) was held the first time in Africa under theme ‘Animal genetics a sustainable future’ 2023. convened scientists, policy makers, industry professionals, and students from interdisciplinary fields to share discuss latest developments space of animal genetics. Since its inception as society, ISAG has sought provide platform advocating just equitable future At conference, this commitment towards furthering inclusion genetic science progressed with two new offerings attendees. session guided discussions on political, ethical, legal, socioeconomic, cultural dynamics that present barriers participating benefitting genomic fraternity. This also included principles social justice, specifically equity, diversity, inclusion, enacting fairness an unfair world, focused constraints related sustainability second used important tradition storytelling transfer knowledge wisdom experienced scientists upcoming researchers. Experienced shared lived experiences educational career paths, challenges, opportunities, providing networking opportunities further mentoring. Here, we report these equity‐based actions their relevance address urgent continent‐specific global disparities move future.

Language: Английский

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Healthcare applications of computational genomics

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 259 - 278

Published: Jan. 1, 2025

Language: Английский

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Access and benefit sharing biological materials for machines: Artificial intelligence, machine learning and deep learning

Plants People Planet, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Societal Impact Statement Future research and development of biological materials for foods, feeds, fibres, medicines will increasingly rely on information knowledge using Artificial Intelligence (AI) applications detecting patterns to make useful decisions. The access use this is being regulated under international laws according an ideal that delivers money other benefits from the uses knowledge. We conclude these issues require specific attention ensure ideals fair equitable benefit sharing are sustainable can deliver real benefits. Summary global regulation (ABS) starting impose complex rules governing about those materials. poses existential challenges ABS schemes. speculate in three distinct scenarios: (1) data used train AI models; (2) test (and verify) (3) applying models reveal patterns. Building ‘explainability’ algorithms may be a solution, at least part, delivering ABS. then posit two ABS: negotiating ownership status input with each owner training, testing verifying) (although further complication here most without because it already open free as public domain intellectual property restrictions); following per se through (explainability). how addressed developing careful consideration avoid apparent dulling effects current potentially significant consequences have biology‐based commercialisation products services.

Language: Английский

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AI-Driven Innovations

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 87 - 118

Published: March 28, 2025

This chapter explores the integration of Artificial Intelligence (AI) in life sciences, highlighting its impact on research, medical care, and understanding complex biological systems. AI's capacity to process vast datasets identify hidden patterns is revolutionising fields such as drug discovery, genomics, clinical diagnostics, healthcare administration. It examines historical development AI from rule-based systems like MYCIN modern data-driven approaches enhanced by deep learning, machine natural language processing. Notable applications include improved patient outcomes, accelerated diagnostic accuracy, personalised medicine. The also discusses transformative potential across various science sectors, especially where it optimises candidate selection, reduces costs, repurposes existing drugs. Overall, signifies a paradigm shift promising greater efficiency, innovation, responsiveness global health challenges.

Language: Английский

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A Low-Power Analog Integrated Euclidean Distance Radial Basis Function Classifier

Electronics, Journal Year: 2024, Volume and Issue: 13(5), P. 921 - 921

Published: Feb. 28, 2024

This study introduces a low-power analog integrated Euclidean distance radial basis function classifier. The high-level architecture is composed of several Manhattan circuits in connection with current comparator circuit. Notably, each implementation was designed modularity and scalability mind, effectively accommodating variations the classification parameters. proposed classifier’s operational principles are meticulously detailed, tailored for low-power, low-voltage, fully tunable implementations, specifically targeting biomedical applications. design methodology materialized within 90 nm CMOS process, utilizing Cadence IC Suite comprehensive management both schematic layout aspects. During verification phase, post-layout simulation results were cross-referenced software-based classifier implementations. Also, comparison related classifiers provided. Through comparative study, architecture’s accuracy sensitivity validated confirmed.

Language: Английский

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Is It Possible for Artificial Intelligence to Undermine the Root of Science?

Science Insights, Journal Year: 2024, Volume and Issue: 44(1), P. 1229 - 1234

Published: Jan. 30, 2024

Artificial intelligence (AI) has brought about a paradigm shift in numerous industries and is persistently altering the methodology employed scientific inquiry. Although AI potential to streamline specific facets of method, detractors contend that its integration could potentially erode foundations science. A issue arises when an excessive dependence on for data analysis experimentation results erosion human creativity intuition as pivotal components breakthroughs. The propensity fortuitous discoveries innovative concepts arise from ostensibly unrelated disciplines may be impeded by AI’s emphasis identifying patterns preexisting sets. Moreover, algorithms systems rely training possess intrinsic bias, which introduce intangible prejudices into investigation. Furthermore, it critical specify incapable engaging debates or comprehending profound philosophical inquiries pertaining fundamental principles govern our universe. As result, although significantly aid scientists their endeavors, must implemented with prudence guarantee enhances rather than erodes tenets character investigation.

Language: Английский

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