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  1. Article ; Online: Quantifying the Efficacy of Magnetic Nanoparticles for MRI and Hyperthermia Applications via Machine Learning Methods.

    Kim, Pavel / Serov, Nikita / Falchevskaya, Aleksandra / Shabalkin, Ilia / Dmitrenko, Andrei / Kladko, Daniil / Vinogradov, Vladimir

    Small (Weinheim an der Bergstrasse, Germany)

    2023  Volume 19, Issue 48, Page(s) e2303522

    Abstract: Magnetic nanoparticles are a prospective class of materials for use in biomedicine as agents for magnetic resonance imagining (MRI) and hyperthermia treatment. However, synthesis of nanoparticles with high efficacy is resource-intensive experimental work. ...

    Abstract Magnetic nanoparticles are a prospective class of materials for use in biomedicine as agents for magnetic resonance imagining (MRI) and hyperthermia treatment. However, synthesis of nanoparticles with high efficacy is resource-intensive experimental work. In turn, the use of machine learning (ML) methods is becoming useful in materials design and serves as a great approach to designing nanomagnets for biomedicine. In this work, for the first time, an ML-based approach is developed for the prediction of main parameters of material efficacy, i.e., specific absorption rate (SAR) for hyperthermia and r
    MeSH term(s) Magnetite Nanoparticles ; Prospective Studies ; Magnetic Resonance Imaging/methods ; Hyperthermia, Induced/methods ; Magnetic Resonance Spectroscopy
    Chemical Substances Magnetite Nanoparticles
    Language English
    Publishing date 2023-08-10
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2168935-0
    ISSN 1613-6829 ; 1613-6810
    ISSN (online) 1613-6829
    ISSN 1613-6810
    DOI 10.1002/smll.202303522
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Multifunctional tunable ZnFe

    Shabalkin, Ilia D / Komlev, Alexey S / Tsymbal, Sergey A / Burmistrov, Oleg I / Zverev, Vladimir I / Krivoshapkin, Pavel V

    Journal of materials chemistry. B

    2023  Volume 11, Issue 5, Page(s) 1068–1078

    Abstract: With the increase in non-communicable diseases, cancer is becoming one of the most lethal ailments of the coming decades. Significant progress has been made in the development of NPs that combine diagnostic and therapeutic properties in a single system. ... ...

    Abstract With the increase in non-communicable diseases, cancer is becoming one of the most lethal ailments of the coming decades. Significant progress has been made in the development of NPs that combine diagnostic and therapeutic properties in a single system. Multimodal NPs that sequentially perform MRI diagnostics with increased contrast and then act as synergistic agents for magnetic hyperthermia and radiotherapy can be considered as next-generation anticancer drugs. Thus, we propose a systematic study of composite theranostic ZnFe
    MeSH term(s) Humans ; Hyperthermia, Induced/methods ; Antineoplastic Agents ; Neoplasms/diagnostic imaging ; Neoplasms/therapy ; Hyperthermia ; Magnetic Resonance Imaging/methods ; Nanoparticles/therapeutic use
    Chemical Substances Antineoplastic Agents
    Language English
    Publishing date 2023-02-01
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2702241-9
    ISSN 2050-7518 ; 2050-750X
    ISSN (online) 2050-7518
    ISSN 2050-750X
    DOI 10.1039/d2tb02186b
    Database MEDical Literature Analysis and Retrieval System OnLINE

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