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Advanced Drug Delivery Reviews
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March 14, 2022
Artificial intelligence to bring nanomedicine to life
Nikita Serov, Vladimir Vinogradov
Small Methods
|
March 14, 2022
Inverse Material Search and Synthesis Verification by Hand Drawings via Transfer Learning and Contour Detection
Nikita Serov, Vladimir Vinogradov
International Journal of Molecular Sciences
|
December 30, 2025
Two-Stage Probability-Enhanced Regression on Property Matrices and LLM Embeddings Enables State-of-the-Art Prediction of Gene Knockdown by Modified siRNAs
Ivan Golovkin, Denis Shatkovskii, Nikita Serov
Small (Weinheim an Der Bergstrasse, Germany)
|
January 15, 2022
DiZyme: Open-Access Expandable Resource for Quantitative Prediction of Nanozyme Catalytic Activity
Julia Razlivina, Nikita Serov, Olga Shapovalova, et al.
Small (Weinheim an Der Bergstrasse, Germany)
|
September 29, 2023
Machine Learning Reinforced Genetic Algorithm for Massive Targeted Discovery of Selectively Cytotoxic Inorganic Nanoparticles
Susan Jyakhwo, Nikita Serov, Andrei Dmitrenko, et al.
Journal of Cheminformatics
|
February 27, 2026
Graph-based transformer to predict the octanol-water partition coefficient
Vyacheslav Grigorev, Nikita Serov, Timur Gimadiev, et al.
Chemical Communications (Cambridge, England)
|
October 9, 2020
One-pot synthesis of template-free hollow anisotropic CaCO<sub>3</sub> structures: towards inorganic shape-mimicking drug delivery systems
Nikita Serov, Darina Darmoroz, Alina Lokteva, et al.
Small (Weinheim an Der Bergstrasse, Germany)
|
August 11, 2023
Quantifying the Efficacy of Magnetic Nanoparticles for MRI and Hyperthermia Applications via Machine Learning Methods
Pavel Kim, Nikita Serov, Aleksandra Falchevskaya, et al.
Acta Crystallographica. Section E, Crystallographic Communications
|
May 3, 2021
Synthesis and structure of a complex of copper(I) with l-cysteine and chloride ions containing Cu<sub>12</sub>S<sub>6</sub> nanoclusters
Amir Gizatullin, Jonathan Becker, Daut Islamov, et al.
Small (Weinheim an Der Bergstrasse, Germany)
|
February 11, 2023
Quantitative Prediction of Inorganic Nanomaterial Cellular Toxicity via Machine Learning
Nikolai Shirokii, Yevgeniya Din, Ilya Petrov, et al.
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Search research articles
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Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Advanced Drug Delivery Reviews
|
March 14, 2022
Artificial intelligence to bring nanomedicine to life
Nikita Serov, Vladimir Vinogradov
Small Methods
|
March 14, 2022
Inverse Material Search and Synthesis Verification by Hand Drawings via Transfer Learning and Contour Detection
Nikita Serov, Vladimir Vinogradov
International Journal of Molecular Sciences
|
December 30, 2025
Two-Stage Probability-Enhanced Regression on Property Matrices and LLM Embeddings Enables State-of-the-Art Prediction of Gene Knockdown by Modified siRNAs
Ivan Golovkin, Denis Shatkovskii, Nikita Serov
Small (Weinheim an Der Bergstrasse, Germany)
|
January 15, 2022
DiZyme: Open-Access Expandable Resource for Quantitative Prediction of Nanozyme Catalytic Activity
Julia Razlivina, Nikita Serov, Olga Shapovalova, et al.
Small (Weinheim an Der Bergstrasse, Germany)
|
September 29, 2023
Machine Learning Reinforced Genetic Algorithm for Massive Targeted Discovery of Selectively Cytotoxic Inorganic Nanoparticles
Susan Jyakhwo, Nikita Serov, Andrei Dmitrenko, et al.
Journal of Cheminformatics
|
February 27, 2026
Graph-based transformer to predict the octanol-water partition coefficient
Vyacheslav Grigorev, Nikita Serov, Timur Gimadiev, et al.
Chemical Communications (Cambridge, England)
|
October 9, 2020
One-pot synthesis of template-free hollow anisotropic CaCO<sub>3</sub> structures: towards inorganic shape-mimicking drug delivery systems
Nikita Serov, Darina Darmoroz, Alina Lokteva, et al.
Small (Weinheim an Der Bergstrasse, Germany)
|
August 11, 2023
Quantifying the Efficacy of Magnetic Nanoparticles for MRI and Hyperthermia Applications via Machine Learning Methods
Pavel Kim, Nikita Serov, Aleksandra Falchevskaya, et al.
Acta Crystallographica. Section E, Crystallographic Communications
|
May 3, 2021
Synthesis and structure of a complex of copper(I) with l-cysteine and chloride ions containing Cu<sub>12</sub>S<sub>6</sub> nanoclusters
Amir Gizatullin, Jonathan Becker, Daut Islamov, et al.
Small (Weinheim an Der Bergstrasse, Germany)
|
February 11, 2023
Quantitative Prediction of Inorganic Nanomaterial Cellular Toxicity via Machine Learning
Nikolai Shirokii, Yevgeniya Din, Ilya Petrov, et al.
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