Machine Learning-Driven Multidomain Nanomaterial Design: From Bibliometric Analysis to Applications

ACS Applied Nano Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 21, 2024

Machine learning (ML), as an advanced data analysis tool, simulates the process of human brain, enabling extraction features, discovery patterns, and making accurate predictions or decisions from complex data. In field nanomaterial design, application ML technology not only accelerates performance optimization nanomaterials but also promotes innovation materials science research methods. Bibliometrics, a method based on quantitative analysis, provides us with macro perspective to observe understand in design by statistically analyzing various indicators scientific literature. This paper quantitatively analyzes literature related ML-driven seven dimensions, revealing importance necessity design. It systematically diversified applications combination suitable algorithms being key enhancing nanomaterials. addition, this discusses current challenges future development directions, including quality set construction, algorithm optimization, deepening interdisciplinary cooperation. review researchers state trends ideas suggestions for research. is significant value promoting progress fostering in-depth research, accelerating innovative material technologies.

Language: Английский

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Cutting edge technology for wastewater treatment using smart nanomaterials: recent trends and futuristic advancements

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 19, 2024

Language: Английский

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Pathophysiology of IBD as a Key Strategy for Polymeric Nanoparticle Development

Advanced Therapeutics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 19, 2025

Abstract Inflammatory bowel disease (IBD) is a complex chronic inflammatory disorder of the gastrointestinal (GI) tract with an uncertain etiology. Currently, IBD therapy relies on induction clinical remission followed by maintenance using anti‐inflammatory drugs and immunosuppressants; however, definite cure still out scope. Established approaches are characterized adverse drug‐related side effects that can even be potentially life‐threatening. In contrast, increased interest remarkable scientific progress in targeted drug delivery systems offer promising approach to reduce systemic events, delivering therapeutic substances only inflamed tissue. All alteration barrier integrity, especially disturbed epithelial barrier, unique pattern receptors cell surface and/or oxidative stress milieu areas used as effective for controlled delivery. Hence, this review focuses pathophysiology GI potential strategy polymeric nanoparticles treatment. Interdisciplinary efforts between chemistry gastroenterology/immunology promise create novel synergies improve development nanoparticle significant impact. regard, current challenges translation nanomedicine also discussed.

Language: Английский

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Recent advances in gold nanostructure-based biosensors in detecting diabetes biomarkers

Frontiers in Bioengineering and Biotechnology, Journal Year: 2024, Volume and Issue: 12

Published: Sept. 17, 2024

Diabetes mellitus (DM) is a prevalent disorder with an urgent need for continuous, precise, and on-site biomarker monitoring devices. The continuous of DM biomarkers from different biological matrices will become routine in the future, thanks to promising biosensor design. Lately, employing nanomaterials receptor parts has had great impact on smart monitoring. Among them, gold nanostructures (AuNSs) have arisen as highly potential materials fabricating precise biosensors due their unique properties. present study provides update applications AuNSs detecting glucose well other biomarkers, such glycated hemoglobin (HbA1c), albumin (GA), insulin, insulin antibodies, uric acid, lactate, glutamic acid decarboxylase antibodies (GADA), focus most important factors performance sensitivity, selectivity, response time, stability. Specified values limit detection (LOD), linear concentrations, reproducibility%, recovery%, assay time were used compare studies. In conclusion, AuNSs, owing wide electrochemical window low electrical resistivity, are valuable tools design, alongside reagents and/or nanomaterials.

Language: Английский

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Boron Nanocomposites for Boron Neutron Capture Therapy and in Biomedicine: Evolvement and Challenges

Biomaterials Research, Journal Year: 2025, Volume and Issue: 29

Published: Jan. 1, 2025

Cancer remains a major concern for human health worldwide. To fight the curse of cancer, boron neutron capture therapy is an incredibly advantageous modality in treatment cancer as compared to other radiotherapies. Due tortuous vasculature and around tumor regions, ( 10 B) compounds preferentially house into cells, creating large dose gradient between highly mingled cells normal cells. Epithermal or thermal bombardment leads tumor-cell-selective killing due generation heavy particles yielded from situ fission reaction. However, challenges nanocomposites’ development have been synthesis part well requirement selective targeting delivery therapeutic concentrations with nominal healthy tissue accumulation retention. circumvent above challenges, this review discusses boride nanocomposite design, safety, biocompatibility biomedical applications general public use. This sparks interest using nanocomposites agents repurposing them comorbidity treatments, future scientific opportunities, hope accelerate stimulus developing possible composite nanomedicine research

Language: Английский

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Navigating the regulatory maze: a comparative analysis of digital therapeutics (DTx) regulations

Journal of Science and Technology Policy Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Purpose The buzzword “Digital Therapeutics” (DTx) is gaining popularity recently and it being widely used in the pharmaceutical industry other areas of health-care sectors. These software-based medical therapies are by DTx greatly assisting management diseases. As global adoption continues to rise, regulatory bodies acknowledging potential aiming create laws regulations control their use. This study aims find similarities for harmonisation comparing frameworks Japan (JP), European Union (EU), United States America (USA) India (IN). Design/methodology/approach uses a descriptive research methodology, science as well technology acceptance model compare landscapes DTx. Secondary data systematically collected researchers from official websites reputable sources like Newsletters, PubMed, Google Scholar ScienceDirect analysis ensuring comprehensive approach understanding framework. findings were analysed using an appreciative inquiry highlight strengths successful practices guide development future frameworks. Findings Through thorough examination market various countries, reveals key challenges linked Current factors inadequately shape current scenario, emphasising imperative stronger regulation. Enhancing patient safety requires between investors regulators. Collaboration essential unlock full DTx, paving way transformative advances health care. promote harmonisation, creating environment conducive growth impact Social implications not only changing consistently strategies industries, but even dynamic opportunities will also emerge future. By integrating with medical, professionals (HCP), offers affordable, individualised solutions that enable people take on own or help HCP. Originality/value enhances knowledge base mapping present legal guiding integration innovative across different nations. Offering valuable insights into developments landscape, manuscript uniquely navigates evolving structures. Beyond shedding light anticipates prepares trajectories, providing strategic stakeholders, policymakers field.

Language: Английский

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The role of miRNAs in pathogenesis, diagnosis, and therapy of Helicobacter pylori infection, gastric cancer-causing bacteria: Special highlights on nanotechnology-based therapy

Microbial Pathogenesis, Journal Year: 2025, Volume and Issue: unknown, P. 107646 - 107646

Published: May 1, 2025

Language: Английский

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Omics‐Enhanced Nanomedicine for Cancer Therapy

Advanced Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 30, 2024

Abstract Cancer nanomedicine has emerged as a promising approach to overcome the limitations of conventional cancer therapies, offering enhanced efficacy and safety in management. However, inherent heterogeneity tumors presents increasing challenges for application both diagnosis treatment. This necessitates integration advanced high‐throughput analytical techniques tailor strategies individual tumor profiles. Omics technologies, encompassing genomics, epigenomics, transcriptomics, proteomics, metabolomics, more, provide unparalleled insights into molecular cellular mechanisms underlying cancer. By dissecting across multiple levels, these technologies offer robust support development personalized precise strategies. In this review, principles, techniques, applications key omics are summarized. Especially, synergistic therapy is explored, focusing on diagnostic accuracy, optimized therapeutic assessment nanomedicine‐mediated biological responses. Moreover, review addresses current outlines future directions field omics‐enhanced nanomedicine. valuable guidance, aims advance with nanomedicine, ultimately driving improved

Language: Английский

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AI-Powered Clinical Trial Design With Translational Bioinformatics

Advances in medical diagnosis, treatment, and care (AMDTC) book series, Journal Year: 2024, Volume and Issue: unknown, P. 57 - 72

Published: June 30, 2024

Clinical trial design is undergoing a revolution fueled by artificial intelligence (AI) and translational bioinformatics. This chapter explores how AI techniques like machine learning deep are being harnessed to analyze vast datasets of biological clinical information. By integrating these insights with bioinformatics, researchers can identify promising drug candidates, select patients most likely benefit from treatment, more efficient targeted trials. Real-world examples showcase the application in immuno-oncology patient selection, discovery for rare diseases, predicting Alzheimer's outcomes, virtual recruitment cardiovascular studies. While challenges data quality ethical considerations exist, bioinformatics hold immense promise accelerating development, bringing life-saving therapies faster.

Language: Английский

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Artificial Intelligence-Enhanced Nanomedicine Design and Deep Reinforcement Learning in Pharmacokinetics

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 135 - 168

Published: Sept. 14, 2024

This chapter explores the potential of Artificial Intelligence (AI) in nanomedicine design, focusing on Deep Reinforcement Learning (DRL) for optimizing pharmacokinetics. Nanomedicine uses nanoscale materials disease diagnosis, treatment, and monitoring, presenting unique challenges opportunities due to biological system complexity. principles are used design nanoparticles with optimal properties targeted drug delivery controlled release. AI is practically applied including AI-driven platforms predicting biodistribution, metabolism, clearance. The also discusses integration DRL other techniques ethical considerations, emphasizing transparency, reproducibility, collaboration between experts, clinicians, regulatory bodies.

Language: Английский

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