Generative AI in Drug Designing: Current State-of-the-Art and Perspectives DOI
Shaban Ahmad, Nagmi Bano, Sakshi Sharma

и другие.

Studies in computational intelligence, Год журнала: 2024, Номер unknown, С. 427 - 463

Опубликована: Янв. 1, 2024

Язык: Английский

CRISPR in clinical diagnostics: bridging the gap between research and practice DOI
Zainab Lafi,

Tha’er Ata,

S. Asha

и другие.

Bioanalysis, Год журнала: 2025, Номер unknown, С. 1 - 10

Опубликована: Фев. 4, 2025

CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) has transformed molecular biology through its precise gene-editing capabilities. Beyond initial applications in genetic modification, emerged as a powerful tool diagnostics and biosensing. This review explores transition from genome editing to innovative detection methods, including nucleic acid identification, single nucleotide polymorphism (SNP) analysis, protein sensing. Advanced technologies such SHERLOCK DETECTR demonstrate CRISPR's potential for point-of-care diagnostics, enabling rapid highly sensitive detection. The integration of chemical modifications, CRISPR-Chip technology, enzymatic systems like Cas12a Cas13a enhances signal amplification efficiency. These advancements promise decentralized, real-time diagnostic solutions with significant implications global healthcare. Furthermore, the fusion artificial intelligence digital health platforms is paving way more accessible, cost-effective, scalable approaches, ultimately revolutionizing precision medicine.

Язык: Английский

Процитировано

3

Diagnosis of Infectious Diseases by CRISPR/Cas System DOI Open Access
Mahintaj Dara,

Negin Shafieipour,

Mahsa Saffar

и другие.

OBM Genetics, Год журнала: 2025, Номер 09(02), С. 1 - 39

Опубликована: Апрель 1, 2025

Since the initial discovery of CRISPR system in bacteria as an adaptive immune system, a deeper understanding structure and function has made it possible to perform gene editing, therapy, revolutionize diagnostic field. One exciting applications CRISPR-Cas is used tool for rapid diagnosis infectious diseases their treatment prevention infection spread among people. The CRISPR-based could be next-generation standard because its programmability capability searching target sequence quickly, making diagnose infections at lower cost but with same accuracy conventional methods. In this review, data were collected from valid papers published PubMed/Medline, Google Scholar, GISAID, Wiley Online Library, Web Science, ResearchGate databases. We have discussed novel various that routinely soon.

Язык: Английский

Процитировано

0

TRANSFORMATIVE APPLICATIONS OF AI IN HEALTHCARE AND PHARMACEUTICAL INNOVATION DOI Open Access

P. JASMINE,

ARWA IBRAHIM,

Shafnas Siddiq

и другие.

International Journal of Applied Pharmaceutics, Год журнала: 2025, Номер unknown, С. 101 - 111

Опубликована: Май 7, 2025

Artificial Intelligence (AI) is transforming the drug development and Clinical Trials by improving efficiency, accuracy, decision-making. AI predicts Pharmacokinetic (PK) Pharmacodynamic (PD) properties, automates compound screening enhances clinical testing throughput. In trial design, optimizes patient stratification outcome prediction analyzing vast datasets from previous trials electronic health records, leading to cost-effective adaptive trials. also facilitates real-time data monitoring, identifying discrepancies early ensure integrity regulatory compliance. By integrating diverse sources it streamlines operations, reducing human error manual workload. However, challenges persist in quality integration due varying standards across sources, necessitating advanced harmonization techniques. Regulatory frameworks often lag behind advancements, creating uncertainty potential delays. Ethical concerns, including privacy security, must be addressed for responsible implementation. Establishing standardized protocols ensuring alignment are critical AI’s successful into research. conclusion, revolutionizes trials, enhancing efficiency accuracy. overcoming data, regulatory, ethical essential its widespread adoption.

Язык: Английский

Процитировано

0

Decoding Virulence and Resistance in Klebsiella pneumoniae: Pharmacological Insights, Immunological Dynamics, and in Silico Therapeutic Strategies DOI

Ali Alishvandi,

Maryam Barancheshemeh,

Faezeh Firuzpour

и другие.

Microbial Pathogenesis, Год журнала: 2025, Номер unknown, С. 107691 - 107691

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Food Security under Climate Change -How can CRISPR-Cas9 and AI-powered Precision Aquaculture Synergistically Enhance Mariculture's Sustainability and Climate Resilience? DOI

Clara Marchandise

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Current Knowledge on CRISPR Strategies Against Antimicrobial-Resistant Bacteria DOI Creative Commons

Carlos de la Fuente Tagarro,

Diego Martín-González, Andrea De Lucas

и другие.

Antibiotics, Год журнала: 2024, Номер 13(12), С. 1141 - 1141

Опубликована: Ноя. 27, 2024

CRISPR/Cas systems have emerged as valuable tools to approach the problem of antimicrobial resistance by either sensitizing or lysing resistant bacteria aiding in antibiotic development, with successful applications across diverse organisms, including and fungi. can target plasmids bacterial chromosome AMR-bacteria, it is especially necessary an efficient entry into cells, which be achieved through nanoparticles bacteriophages. Regarding development production, though use this field still modest, there untapped reservoir fungal natural products, over 95% yet characterized. In Streptomyces, a key antibiotic-producing genus, has been successfully used activate silent biosynthetic gene clusters, leading discovery new antibiotics. also applicable non-model different species fungi, making versatile tool for products discovery. Moreover, CRISPR/Cas-based studies offer insights metabolic regulation pathways both highlighting its utility understanding genetic improving industrial strains. work, we review ongoing innovations on ways treat resistances using platforms, role fungi these processes.

Язык: Английский

Процитировано

1

Potential Impacts of Artificial Intelligence (AI) in Biotechnology DOI Creative Commons

Alexandrina Gomes,

Beatriz Martinelli Menezes Gonçalves,

Bruno Inglês

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(24), С. 11801 - 11801

Опубликована: Дек. 17, 2024

The impact of artificial intelligence (AI) in biotechnology has become increasingly significant, driving advancements across multiple subfields several areas science. demand for faster data analysis, integration extensive databases, pattern recognition, problem solving, and even hypothesis generation fueled the development AI technologies subjects like modern biotechnology, which revolutionized, where main goal is to develop new advanced products through manipulation biological organisms. impacts observed are focused on four colors biotechnology: green (agricultural sector); red (health white (industries); blue (marine sector). Numerous tools have been developed made freely available, significantly reducing researchers’ workloads. However, application also raises questions that must be addressed. This review exhibits discusses advantages disadvantages its current presence, potential ethical issues social impacts.

Язык: Английский

Процитировано

1

Generative AI in Drug Designing: Current State-of-the-Art and Perspectives DOI
Shaban Ahmad, Nagmi Bano, Sakshi Sharma

и другие.

Studies in computational intelligence, Год журнала: 2024, Номер unknown, С. 427 - 463

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0