Artificial intelligence and blockchain in clinical trials: enhancing data governance efficiency, integrity, and transparency

Bioanalysis, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: Jan. 23, 2025

This article examines the transformative potential of blockchain technology and its integration with artificial intelligence (AI) in clinical trials, focusing on their combined ability to enhance integrity, operational efficiency, transparency data governance. Through an in-depth analysis recent advancements, highlights how AI address critical challenges, including patient privacy, regulatory compliance, security. The also identifies key barriers adoption mentioned integration, such as scalability limitations, association existing healthcare systems, high implementation costs. By presenting a comprehensive overview current research proposing strategic directions, this work emphasizes synergy between can revolutionize trials through process automation, improved stakeholder trust, robust transparency.

Language: Английский

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Bridging translational gaps in Mexico’s new science era

Trends in Molecular Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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Synergy of Traditional Practices and Modern Technology: Advancing the Understanding and Applications of Microbial Resources and Processes in Fermented Foods

Trends in Food Science & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 104891 - 104891

Published: Jan. 1, 2025

Language: Английский

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A review of sarcoidosis etiology, diagnosis and treatment

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 26, 2025

Sarcoidosis is an inflammatory disease characterized by the formation of granulomas in various organs, leading to inflammation and potential organ dysfunction. Symptoms often start with general signs like fatigue, fever, weight loss, but vary depending on affected organ. Diagnosis challenging due its diverse clinical presentation lack a definitive test, while treatment complicated disease's variable course, requiring personalized approach. This review explores role genetic environmental factors sarcoidosis etiology, examines current challenges diagnosis treatment, discusses how understanding etiology informs patient management future strategies.

Language: Английский

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Advances in bioinformatics and multi-omics integration: transforming viral infectious disease research in veterinary medicine

Virology Journal, Journal Year: 2025, Volume and Issue: 22(1)

Published: Jan. 31, 2025

The world is changing due to factors like bioterrorism, massive environmental changes, globalization of trade and commerce, growing urbanization, climate, pollution. Numerous diseases have emerged because these factors, especially in companion food-producing animals. pathogens established themselves naïve populations, harming reproduction, productivity, health. Bioinformatics considered a valuable tool infectious disease research, as it provides comprehensive overview the identification pathogens, their genetic makeup, evolutionary relationship. Therefore, there an urgent need for novel bioinformatics approach help decipher model viral epidemiology informatics on domestic animals livestock. With significant advancements NGS, researchers can now identify contigs, which are contiguous sequences DNA that assembled from overlapping fragments, assemble complete genome, perform phylogenetic analysis diagnose, investigate risk animals, handle share large biological datasets across various species. Additionally, multi-omics data integration further deepens our understanding homology, divergence, mutations, relationships, providing perspective molecular mechanisms driving animal infections. This review aims reveal importance utilizing multidisciplinary areas bioinformatics, genomics, proteomics, transcriptomics, metabolomics, metagenomics roles studying veterinary medicine will eventually improve health

Language: Английский

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Artificial intelligence and the impact of multiomics on the reporting of case reports

World Journal of Clinical Cases, Journal Year: 2025, Volume and Issue: 13(15)

Published: Jan. 21, 2025

The integration of artificial intelligence (AI) and multiomics has transformed clinical life sciences, enabling precision medicine redefining disease understanding. Scientific publications grew significantly from 2.1 million in 2012 to 3.3 2022, with AI research tripling during this period. Multiomics fields, including genomics proteomics, also advanced, exemplified by the Human Proteome Project achieving a 90% complete blueprint 2021. This growth highlights opportunities challenges integrating into reporting. A review studies case reports was conducted evaluate integration. Key areas analyzed included diagnostic accuracy, predictive modeling, personalized treatment approaches driven tools. Case examples were studied assess impacts on decision-making. enhanced data integration, insights, personalization. Fields like radiomics, genomics, proteomics improved diagnostics guided therapy. For instance, “AI oncopathomics, surgomics project” combined radiomics for surgical decision-making, preoperative, intraoperative, postoperative interventions. applications predicted conditions delirium monitored cancer progression using genomic imaging data. enable standardized analysis, dynamic updates, modeling reports. Traditional often lack objectivity, but enhances reproducibility decision-making processing large datasets. Challenges include standardization, biases, ethical concerns. Overcoming these barriers is vital optimizing advancing medicine. revolutionizing practice. Standardizing reporting addressing ethics quality will unlock their full potential. Emphasizing collaboration transparency essential leveraging tools improve patient care scientific communication.

Language: Английский

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Exploring the intricacies of plant growth promoting rhizobacteria interactions: an omics review

Annals of Microbiology, Journal Year: 2025, Volume and Issue: 75(1)

Published: Feb. 4, 2025

Language: Английский

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Single-sample, multi-omic mass spectrometry for investigating mechanisms of drug toxicity

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

ABSTRACT Poor therapeutic index is a principal cause of drug attrition during development. A case in point L-asparaginase (ASNase), an enzyme-drug approved for treatment pediatric acute lymphoblastic leukemia (ALL) but too toxic adults. To elucidate potentially targetable mechanisms mitigation ASNase toxicity, we performed multi-omic profiling the response to sub-toxic and doses mice. We collected whole blood samples longitudinally, processed them plasma, extracted metabolites, lipids, proteins from single 20-µL plasma sample. analyzed extracts using multiple reaction monitoring (MRM) 500+ water soluble 750+ 375 peptides on triple quadrupole LC-MS/MS platform. Metabolites, that were modulated dose-dependent manner appeared converge antioxidation, inflammation, autophagy, cell death pathways, prompting hypothesis inhibiting those pathways might decrease toxicity while preserving anticancer activity. Overall, provide here streamlined, three-in-one workflow targeted metabolomics, lipidomics, proteomics demonstrate its ability generate new insights into toxicity.

Language: Английский

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Innovations in heart failure management: The role of cutting-edge biomarkers and multi-omics integration

Journal of Molecular and Cellular Cardiology Plus, Journal Year: 2025, Volume and Issue: 11, P. 100290 - 100290

Published: March 1, 2025

Heart failure (HF) remains a major cause of morbidity and mortality worldwide represents challenge for diagnosis, prognosis treatment due to its heterogeneity. Traditional biomarkers such as BNP NT-proBNP are valuable but insufficient capture the complexity HF, especially phenotypes HF with preserved ejection fraction (HFpEF). Recent advances in multi-omics technology novel cell-free DNA (cfDNA), microRNAs (miRNAs), ST2 galectin-3 offer transformative potential management. This review explores integration these innovative into clinical practice highlights their benefits, improved diagnostic accuracy, enhanced risk stratification non-invasive monitoring capabilities. By leveraging approaches, including lipidomics metabolomics, clinicians can uncover new pathways, refine classification phenotypes, develop personalized therapeutic strategies tailored individual patient profiles. Remarkable proteomics metabolomics have identified associated key mechanisms mitochondrial dysfunction, inflammation fibrosis, paving way targeted therapies early interventions. Despite promising results, significant challenges remain translating findings routine care, high costs, technical limitations need large-scale validation studies. report argues an integrative, multi-omics-based model overcome obstacles emphasizes importance collaboration between researchers, policy makers. linking science practical applications, approaches redefine management lead better outcomes more sustainable healthcare systems.

Language: Английский

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Multi-omics and drug development

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 147 - 171

Published: Jan. 1, 2025

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