Artificial intelligence to bring nanomedicine to life

Serov, Nikita; Vinogradov, Vladimir V.

doi:10.1016/j.addr.2022.114194

Cited by 53 publications

(59 citation statements)

References 163 publications

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“…The emergence of intelligent technology tools has ushered in the fourth paradigm of scientific research, which is characterized by data-intensive research [ 1 ]. In this context, big data provides rich “nutrients” for research in various disciplines [ 2 – 4 ].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Hotspot Mining in the Field of Library and Information Science under the Environment of Big Data

Jiang

2022

Journal of Environmental and Public Health

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Currently, with the implementation of big data strategies in countries all over the world, big data has achieved vigorous development in various fields. Big data research and application practices have also rapidly attracted the attention of the library and information field. Objective. The study explored the current state of research and research hotspots of big data in the library and information field and further discussed the future research trends. Methods. In the CNKI database, 16 CSSCI source journals in the discipline of library information and digital library were selected as data sources, and the relevant literature was retrieved with the theme of “big data.” The collected literature was excluded and expanded according to the citation relationship. Then, with the help of Bicomb and SPSS, co-word analysis and cluster analysis would be carried out on these literature results. Results. According to the findings of the data analysis, the research hotspots on the topic mainly focus on five major research themes, namely, big data and smart library, big data and intelligence research, data mining and cloud computing, big data and information analysis, and library innovation and services. Limitations. At present, the research scope and coverage on this topic are wide, which leads to the research still staying at the macro level. Conclusions. Big data research will remain one of the hotspots in the future. However, the most study is still limited to the perspective of library and information and has not yet analyzed the research status, research hotspots, and development trends in this field from the perspective of big data knowledge structure. Moreover, machine learning, artificial intelligence, knowledge services, AR, and VR may be new directions for future attention and development.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Hotspot Mining in the Field of Library and Information Science under the Environment of Big Data

Jiang

2022

Journal of Environmental and Public Health

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“…To get around these restrictions, RES can be carried via nanocarriers [ 2 ]. This subfield of nanomedicine studies how the use of nanoscale materials affects pharmacokinetics, drug administration, and pharmacodynamics [ 61 ]. The use of nanotechnology in the mitigation and prevention of neurological diseases also conceals the physicochemical assets of therapeutic drugs to enhance their half-life and cross the BBB.…”

Section: Res Brain Deliverymentioning

confidence: 99%

Involvement of Resveratrol against Brain Cancer: A Combination Strategy with a Pharmaceutical Approach

et al. 2022

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A brain tumor (BT) is a condition in which there is growth or uncontrolled development of the brain cells, which usually goes unrecognized or is diagnosed at the later stages. Since the mechanism behind BT is not clear, and the various physiological conditions are difficult to diagnose, the success rate of BT is not very high. This is the central issue faced during drug development and clinical trials with almost all types of neurodegenerative disorders. In the first part of this review, we focus on the concept of brain tumors, their barriers, and the types of delivery possible to target the brain cells. Although various treatment methods are available, they all have side effects or toxic effects. Hence, in the second part, a correlation was made between the use of resveratrol, a potent antioxidant, and its advantages for brain diseases. The relationship between brain disease and the blood–brain barrier, multi-drug resistance, and the use of nanomedicine for treating brain disorders is also mentioned. In short, a hypothetical concept is given with a background investigation into the use of combination therapy with resveratrol as an active ingredient, the possible drug delivery, and its formulation-based approach.

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“…In these cases, ML algorithms can guide formulation and production, and predict design parameters for desired nanomedicines [50,99,100]. It is well-recognized that the limiting factor in successful and generalizable implementations of AI and ML in nanomedicine development is data, or the lack thereof [101,102]. This is particularly relevant for data-hungry techniques, such as neural networks [103].…”

Section: Artificial Intelligence and Machine Learning -Tools To Guide...mentioning

confidence: 99%

Re-envisioning the Design of Nanomedicines: Harnessing Automation and Artificial Intelligence

Zaslavsky

Bannigan

Allen

2022

Preprint

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Introduction Interest in nanomedicines has surged in recent years due to the critical role they have played in the COVID-19 pandemic. Nanoformulations can turn promising therapeutic cargo into viable products through improvements in drug safety and efficacy profiles. However, the developmental pathway for such formulations is non-trivial and largely reliant on trial-and-error. Beyond the costly demands on time and resources, this traditional approach may stunt innovation. The emergence of automation, artificial intelligence (AI) and machine learning (ML) tools, which are currently underutilized in pharmaceutical formulation development, offers a promising direction for an improved path in the design of nanomedicines. Areas covered This article highlights the potential of harnessing experimental automation and AI/ML to drive innovation in nanomedicine development. The discussion centers on the current challenges in drug formulation research and development, and the major advantages afforded through the application of data-driven methods. Expert opinion The development of integrated workflows based on automated experiments and AI/ML may accelerate nanomedicine development. A crucial step in achieving this is the generation of high-quality, accessible datasets. Future efforts to make full use of these tools can ultimately contribute to the development of more innovative nanomedicines and improved clinical translation of formulations that rely on advanced drug delivery systems.

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Artificial intelligence to bring nanomedicine to life

Cited by 53 publications

References 163 publications

[Retracted] Hotspot Mining in the Field of Library and Information Science under the Environment of Big Data

[Retracted] Hotspot Mining in the Field of Library and Information Science under the Environment of Big Data

Involvement of Resveratrol against Brain Cancer: A Combination Strategy with a Pharmaceutical Approach

Re-envisioning the Design of Nanomedicines: Harnessing Automation and Artificial Intelligence

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