Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 301 - 327
Published: Jan. 1, 2025
Language: Английский
New Biotechnology, Journal Year: 2023, Volume and Issue: 74, P. 16 - 24
Published: Feb. 6, 2023
Due to popular successes (e.g., ChatGPT) Artificial Intelligence (AI) is on everyone's lips today. When advances in biotechnology are combined with AI unprecedented new potential solutions become available. This can help many global problems and contribute important Sustainability Development Goals. Current examples include Food Security, Health Well-being, Clean Water, Energy, Responsible Consumption Production, Climate Action, Life below or protect, restore promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, halt reverse land degradation biodiversity loss. ubiquitous the life sciences Topics a wide range from machine learning Big Data analytics, knowledge discovery data mining, biomedical ontologies, knowledge-based reasoning, natural language processing, decision support reasoning under uncertainty, temporal spatial representation inference, methodological aspects explainable (XAI) applications biotechnology. In this pre-Editorial paper, we provide an overview open research issues challenges for each topics addressed special issue. Potential authors directly as guideline developing their paper.
Language: Английский
Citations
264
Cureus, Journal Year: 2023, Volume and Issue: unknown
Published: Nov. 22, 2023
This comprehensive review delves into the impact and challenges of Artificial Intelligence (AI) in nursing science healthcare. AI has already demonstrated its transformative potential these fields, with applications spanning from personalized care diagnostic accuracy to predictive analytics telemedicine. However, integration complexities, including concerns related data privacy, ethical considerations, biases algorithms datasets. The future healthcare appears promising, poised advance diagnostics, treatment, practices. Nevertheless, it is crucial remember that should complement, not replace, professionals, preserving essential human element care. To maximize AI's healthcare, interdisciplinary collaboration, guidelines, protection patient rights are essential. concludes a call action, emphasizing need for ongoing research collective efforts ensure contributes improved outcomes while upholding highest standards ethics patient-centered
Language: Английский
Citations
83
Cureus, Journal Year: 2023, Volume and Issue: unknown
Published: Sept. 4, 2023
Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic therapeutic practices, allowing healthcare providers to overcome significant challenges associated with cost, disease management, accessibility, treatment optimization. Prominent AI technologies such as machine learning (ML) deep (DL) have immensely influenced diagnostics, patient monitoring, novel pharmaceutical discoveries, drug development, telemedicine. Significant innovations improvements in identification early intervention been made using AI-generated algorithms for clinical decision support systems prediction models. remarkably impacted trials by amplifying research into efficacy, adverse events, candidate molecular design. AI's precision analysis regarding patients' genetic, environmental, lifestyle factors led individualized strategies. During the COVID-19 pandemic, AI-assisted telemedicine set a precedent remote delivery follow-up. Moreover, applications wearable devices allowed ambulatory monitoring of vital signs. However, apart from being transformative, contribution is subject ethical regulatory concerns. AI-backed data protection algorithm transparency should be strictly adherent principles. Vigorous governance frameworks place before incorporating mental health interventions through AI-operated chatbots, education enhancements, virtual reality-based training. The role decision-making certain limitations, necessitating importance hands-on experience. Therefore, reaching an optimal balance between capabilities considerations ensure impartial neutral performance crucial. This narrative review focuses on impact balanced incorporation make use its full potential.
Language: Английский
Citations
49
International Journal of Molecular Sciences, Journal Year: 2022, Volume and Issue: 23(19), P. 11156 - 11156
Published: Sept. 22, 2022
Recently, Artificial intelligence (AI) has emerged as a revolutionary field, providing great opportunity in shaping modern crop breeding, and is extensively used indoors for plant science. Advances phenomics, enviromics, together with the other "omics" approaches are paving ways elucidating detailed complex biological mechanisms that motivate functions response to environmental trepidations. These have provided researchers precise tools evaluate important agronomic traits larger-sized germplasm at reduced time interval early growth stages. However, big data relationships within impede understanding of behind genes driving agronomic-trait formations. AI brings huge computational power many new strategies future breeding. The present review will encompass how applications technology, utilized current breeding practice, assist solve problem high-throughput phenotyping gene functional analysis, advances technologies bring opportunities make envirotyping widely Furthermore, methods, linking genotype phenotype remains massive challenge impedes optimal application field phenotyping, genomics, enviromics. In this review, we elaborate on be preferred tool increase accuracy genotyping, data; moreover, explore developing challenges multiomics computing integration. Therefore, integration can allow rapid identification eventually accelerate crop-improvement programs.
Language: Английский
Citations
63
Frontiers in Genetics, Journal Year: 2022, Volume and Issue: 13
Published: July 6, 2022
Precision medicine has greatly aided in improving health outcomes using earlier diagnosis and better prognosis for chronic diseases. It makes use of clinical data associated with the patient as well their multi-omics/genomic to reach a conclusion regarding how physician should proceed specific treatment. Compared symptom-driven approach medicine, precision considers critical fact that all patients do not react same treatment or medication way. When considering intersection traditionally distinct arenas is, artificial intelligence, healthcare, genomics, pharmacogenomics-what ties them together is impact on development field they each contribute patient-specific, rather than symptom-specific outcomes. This study discusses integration these different fields scope can be used preventing predicting acute Additionally, this also advantages current challenges pharmacogenomics.
Language: Английский
Citations
49
Advanced Intelligent Systems, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 11, 2024
Large language models (LLMs) are artificial intelligence (AI) platforms capable of analyzing and mimicking natural processing. Leveraging deep learning, LLM capabilities have been advanced significantly, giving rise to generative chatbots such as Generative Pre‐trained Transformer (GPT). GPT‐1 was initially released by OpenAI in 2018. ChatGPT's release 2022 marked a global record speed technology uptake, attracting more than 100 million users two months. Consequently, the utility LLMs fields including engineering, healthcare, education has explored. The potential LLM‐based higher sparked significant interest ignited debates. can offer personalized learning experiences advance asynchronized potentially revolutionizing education, but also undermine academic integrity. Although concerns regarding AI‐generated output accuracy, spread misinformation, propagation biases, other legal ethical issues not fully addressed yet, several strategies implemented mitigate these limitations. Here, development LLMs, properties chatbots, applications discussed. Current challenges associated with AI‐based outlined. potentials chatbot use context settings
Language: Английский
Citations
15
Plants, Journal Year: 2024, Volume and Issue: 13(19), P. 2676 - 2676
Published: Sept. 24, 2024
With the development of new technologies in recent years, researchers have made significant progress crop breeding. Modern breeding differs from traditional because great changes technical means and concepts. Whereas initially focused on high yields, modern focuses orientations based different crops’ audiences or by-products. The process starts creation material populations, which can be constructed by natural mutagenesis, chemical physical mutagenesis transfer DNA (T-DNA), Tos17 (endogenous retrotransposon), etc. Then, gene function mined through QTL mapping, Bulked-segregant analysis (BSA), Genome-wide association studies (GWASs), RNA interference (RNAi), editing. at transcriptional, post-transcriptional, translational levels, functions genes are described terms post-translational aspects. This article mainly discusses application above scientific technological methods advantages limitations diversity. In particular, editing technology has contributed to research.
Language: Английский
Citations
14
Fermentation, Journal Year: 2024, Volume and Issue: 10(3), P. 126 - 126
Published: Feb. 23, 2024
The agrifood industry produces copious amounts of waste, which represent an execrable wastage natural resources and result in economic losses over the entire value chain. This review compares conventional biological methods for recovery functional compounds from plant wastes to rescues part intrinsic valuable elements contained therein. Biological involve bioprocesses based on hydrolytic enzymes engineered bacterial strains, facilitate release compounds. Then, this explores innovative transformative role artificial intelligence machine learning techniques real-time monitoring, optimizing, digitizing extraction procedures. By combining potential AI integration, provides insights how these approaches can revolutionize sector, increasing efficiency environmental sustainability waste valorization process.
Language: Английский
Citations
9
Bioresource Technology, Journal Year: 2022, Volume and Issue: 369, P. 128421 - 128421
Published: Nov. 30, 2022
By utilizing their powerful metabolic versatility, filamentous fungi can be utilized in bioprocesses aimed at achieving circular economy. With the current digital transformation within biomanufacturing sector, interest of automating fungi-based systems has intensified. The purpose this paper was therefore to review potentials connected use automation and artificial intelligence systems. Automation is characterized by substitution manual tasks with mechanized tools. Artificial is, on other hand, a domain computer science that aims designing tools machines capacity execute functions would usually require human aptitude. Process flexibility, enhanced data reliability increased productivity are some benefits integrating bioprocesses. One existing gaps requires further investigation such data-based technologies production food from fungi.
Language: Английский
Citations
31
Briefings in Bioinformatics, Journal Year: 2023, Volume and Issue: 25(1)
Published: Nov. 22, 2023
Abstract Researchers increasingly turn to explainable artificial intelligence (XAI) analyze omics data and gain insights into the underlying biological processes. Yet, given interdisciplinary nature of field, many findings have only been shared in their respective research community. An overview XAI for is needed highlight promising approaches help detect common issues. Toward this end, we conducted a systematic mapping study. To identify relevant literature, queried Scopus, PubMed, Web Science, BioRxiv, MedRxiv arXiv. Based on keywording, developed coding scheme with 10 facets regarding studies’ AI methods, explainability methods data. Our study resulted 405 included papers published between 2010 2023. The inspected DNA-based (mostly genomic), transcriptomic, proteomic or metabolomic by means neural networks, tree-based statistical further methods. preferred post-hoc are feature relevance (n = 166) visual explanation 52), while using interpretable often resort use transparent models 83) architecture modifications 72). With gaps still apparent data, deduced eight directions discuss potential field. We also provide exemplary questions each direction. Many problems adoption clinical practice yet be resolved. This outlines extant topic provides researchers practitioners.
Language: Английский
Citations
17