Integration of Artificial Intelligence and Genome Editing System for Determining the Treatment of Genetic Disorders DOI Creative Commons
Suat Erdoğan

Balkan Medical Journal, Год журнала: 2024, Номер 41(6), С. 419 - 420

Опубликована: Авг. 16, 2024

ErdoğanGenome editing technologies have demonstrated significant potential for treating diseases caused by various molecular changes.These include cancer, cystic fibrosis, diabetes, sickle cell anemia, heart diseases, and rare genetic disorders. 1,2Genome also offer solutions neurodegenerative such as Alzheimer's Huntington's disease neuromuscular disorders Duchenne's muscular dystrophy, spinal atrophy, amyotrophic lateral sclerosis.The leading genome are zinc-finger nucleases, transcription activatorlike effector clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9).Among these technologies, CRISPR/Cas9 is the most widely used due to its versatility, effectiveness, efficiency, ease of application. 3his groundbreaking manipulation tool revolutionizing scientific research, medical diagnostics, therapeutic applications.Major advancements in efficacy propelled strategies phase 3 human clinical trials.However, CRISPR technology associated with some challenges high costs, ineffective delivery methods specific targets, poor efficiency processes, particularly offtarget effects. 3,

Язык: Английский

Exploring opportunities of Artificial Intelligence in aquaculture to meet increasing food demand DOI Creative Commons
Mohd Ashraf Rather, Ishtiyaq Ahmad,

Azra Shah

и другие.

Food Chemistry X, Год журнала: 2024, Номер 22, С. 101309 - 101309

Опубликована: Март 19, 2024

The increasing global population drives a rising demand for food, particularly fish as preferred protein source, straining capture fisheries. Overfishing has depleted wild stocks, emphasizing the need advanced aquaculture technologies. Unlike agriculture, not seen substantial technological advancements. Artificial Intelligence (AI) tools like Internet of Things (IoT), machine learning, cameras, and algorithms offer solutions to reduce human intervention, enhance productivity, monitor health, feed optimization, water resource management. However, challenges such data collection, standardization, model accuracy, interpretability, integration with existing systems persist. This review explores adoption AI techniques advance industry bridge gap between food supply demand.

Язык: Английский

Процитировано

30

Relieving metabolic burden to improve robustness and bioproduction by industrial microorganisms DOI Creative Commons
Jiwei Mao, Hongyu Zhang, Yu Chen

и другие.

Biotechnology Advances, Год журнала: 2024, Номер 74, С. 108401 - 108401

Опубликована: Июнь 27, 2024

Metabolic burden is defined by the influence of genetic manipulation and environmental perturbations on distribution cellular resources. The rewiring microbial metabolism for bio-based chemical production often leads to a metabolic burden, followed adverse physiological effects, such as impaired cell growth low product yields. Alleviating imposed undesirable changes has become an increasingly attractive approach constructing robust factories. In this review, we provide brief overview engineering, focusing specifically recent developments strategies diminishing while improving robustness yield. A variety examples are presented showcase promise engineering in facilitating design construction Finally, challenges limitations encountered discussed.

Язык: Английский

Процитировано

26

Unlocking Longevity in Aesthetic Dermatology: Epigenetics, Aging, and Personalized Care DOI Creative Commons
Diala Haykal, Frédéric Flament,

Pascale Mora

и другие.

International Journal of Dermatology, Год журнала: 2025, Номер unknown

Опубликована: Март 10, 2025

ABSTRACT The concept of aging has evolved from being primarily attributed to genetic factors recognizing the critical role epigenetic mechanisms. Recent advancements, such as clocks, have provided tools assess biological age and offer insights into processes at molecular level. In aesthetic dermatology, understanding these allows for more personalized, effective interventions targeting root causes skin aging. This review explores interplay changes, aging, potential personalized care enhance longevity rejuvenation. is based on an extensive literature search conducted across PubMed other scientific databases. Studies focused mechanisms DNA methylation, histone modifications, their relationship Particular attention was given recent advancements in including Horvath's Clock GrimAge, implications dermatological treatments. Epigenetic Clock, demonstrated utility assessing through methylation markers, revealing actionable processes. Energy‐based devices like fractional lasers radiofrequency shown promise reversing age‐related promoting collagen synthesis, reducing age. Additionally, lifestyle diet, sleep, circadian rhythm alignment significantly influence health. Integrating dermatology represents a paradigm shift rejuvenation, allowing treatments that address visible signs underlying Using clocks provides framework tailoring individual patient needs, optimizing outcomes, extending results. Future research should focus longitudinal studies, accessibility, ethical considerations fully harness epigenetics health overall well‐being.

Язык: Английский

Процитировано

2

Recent Therapeutic Gene Editing Applications to Genetic Disorders DOI Creative Commons
Éric Deneault

Current Issues in Molecular Biology, Год журнала: 2024, Номер 46(5), С. 4147 - 4185

Опубликована: Апрель 30, 2024

Recent years have witnessed unprecedented progress in therapeutic gene editing, revolutionizing the approach to treating genetic disorders. In this comprehensive review, we discuss progression of milestones leading emergence clustered regularly interspaced short palindromic repeats (CRISPR)-based technology as a powerful tool for precise and targeted modifications human genome. CRISPR-Cas9 nuclease, base prime editing taken center stage, demonstrating remarkable precision efficacy ex vivo genomic modifications. Enhanced delivery systems, including viral vectors nanoparticles, further improved efficiency safety advancing their clinical translatability. The exploration CRISPR-Cas systems beyond commonly used Cas9, such development Cas12 Cas13 variants, has expanded repertoire tools, enabling more intricate interventions. Outstandingly, represents significant leap forward, given its unparalleled versatility minimization off-target effects. These innovations paved way multitude previously incurable disorders, ranging from monogenic diseases complex polygenic conditions. This review highlights latest innovative studies field, emphasizing breakthrough technologies preclinical trials, applications realm medicine. However, challenges effects ethical considerations remain, necessitating continued research refine profiles frameworks.

Язык: Английский

Процитировано

12

Convergence of CRISPR and artificial intelligence: A paradigm shift in biotechnology DOI
Mahintaj Dara, Mehdi Dianatpour, Negar Azarpira

и другие.

Human Gene, Год журнала: 2024, Номер 41, С. 201297 - 201297

Опубликована: Май 22, 2024

Язык: Английский

Процитировано

7

Artificial intelligence applications to genomic data in cancer research: a review of recent trends and emerging areas DOI Creative Commons
Maria Frasca, Davide La Torre, Marco Repetto

и другие.

Discover Analytics, Год журнала: 2024, Номер 2(1)

Опубликована: Июль 29, 2024

Abstract This review focuses on the intersection of artificial intelligence and genomic data in cancer research. It explores types used literature, methodologies machine learning deep learning, recent applications, challenges associated with this field. Through an analysis 47,586 articles addressing seven research questions, study reveals significant growth area over past years. While there has been remarkable progress, ongoing attention is needed to address ethical considerations, interpretability algorithms, potential biases, ensure reliable responsible use these advanced technologies. Overall, paper provides a comprehensive overview current landscape, offering insights into both AI

Язык: Английский

Процитировано

6

Artificial Intelligence (AI) and Machine Learning (ML) Implemented Drug Delivery Systems: A paradigm shift in the Pharmaceutical industry DOI Creative Commons
Goutam Kumar Jena, Chinam Niranjan Patra, Sruti Jammula

и другие.

Journal of Bio-X Research, Год журнала: 2024, Номер 7

Опубликована: Янв. 1, 2024

Artificial intelligence (AI) and machine learning (ML) are revolutionizing the pharmaceutical industry, particularly in drug development delivery. These technologies enable precision medicine by analyzing extensive datasets to optimize formulations predict patient responses. AI-driven models enhance nanoparticle-based carriers, improving their stability, bioavailability, targeting accuracy. ML also facilitates real-time monitoring adaptive control of release, ensuring better therapeutic outcomes. This review explores integration AI delivery, highlighting potential accelerate development, reduce costs, advance personalized medicine.

Язык: Английский

Процитировано

4

Advancing Genetic Engineering through AI: Sequencing and Editing Innovations DOI Creative Commons
Shili Sun

Theoretical and Natural Science, Год журнала: 2025, Номер 90(1), С. 48 - 53

Опубликована: Янв. 15, 2025

As an important part of modern biotechnology, genetic engineering is widely used in fields such as disease treatment, agricultural improvement, and environmental protection. Gene sequencing technology, especially next-generation provides a powerful tool for studying biological information. However, with the rapid growth genomic data, how to efficiently accurately analyze apply this huge data has become major challenge facing engineering. In recent years, artificial intelligence (AI) deep learning, been automated processing large-scale shown great potential AI technology not only shows advantages gene editing optimization, variation detection genome association analysis, but also significantly improves efficiency accuracy analysis. Although brought many conveniences engineering, challenges transparency, quality issues, ethics privacy protection still need be solved. This article explores application analyzes can improve discusses contribution precision medicine. continues develop, it expected play increasingly role genomics, editing, medicine, provide more effective strategies future treatment

Язык: Английский

Процитировано

0

CRISPR/Cas technology in vegetable crops for improving biotic, abiotic stress and quality traits: Challenges and opportunities DOI Creative Commons
S. P. S. Kushwaha,

C. R. Nagesh,

S. S. Lele

и другие.

Scientia Horticulturae, Год журнала: 2025, Номер 341, С. 113957 - 113957

Опубликована: Янв. 16, 2025

Язык: Английский

Процитировано

0

Biotechnology and Genetic Engineering DOI

Nurul Asmak Md Lazim,

Novizar Nazir

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 109 - 122

Опубликована: Фев. 5, 2025

Biotechnology is in the vanguard of scientific advancement, consistently pushing envelope and influencing direction environmental sustainability, agriculture, healthcare future while genetic engineering modifying an organism's makeup, creating a wealth opportunities for advancing agricultural output, addressing issues, promoting human health. With potential to completely change way illnesses are treated; this ground-breaking technique gives patients with few alternatives past hope. Artificial intelligence (AI) replication machines built think learn like people. Research on gene treatment as well biotechnology can greatly benefit from AI. In chapter, authors will examine most recent developments engineering, biotechnology, artificial (AI), their possible uses, moral implications, promising futures.

Язык: Английский

Процитировано

0