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RESEARCH PAPER · Journal of Controlled Release · 2020

Can machine learning predict drug nanocrystals?

Yuan He, Zhuyifan Ye, Xinyang Liu, Zhengjie Wei, Fen Qiu, Haifeng Li, Ying Zheng, Defang Ouyang

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Can machine learning predict drug nanocrystals?OriginalEffect of massage on blood flow in skeletal muscle.73Digital Pharmaceutical Sciences84Identifying sarcopenia in advanced non‐small cell lung cancer patients using skeletal muscle CT radiomics and machine learning56Modeling and Simulation of Process Technology for Nanoparticulate Drug Formulations—A Particle Technology Perspective27Review of machine learning algorithms' application in pharmaceutical technology21Enhancing the Efficacy of Albendazole for Liver Cancer Treatment Using Mesoporous Silica Nanoparticles: An In Vitro Study15Integrated in silico formulation design of self-emulsifying drug delivery systems62Machine learning directed drug formulation development335Lentinan as a natural stabilizer with bioactivities for preparation of drug–drug nanosuspensions41Novel Computational Approach by Combining Machine Learning with Molecular Thermodynamics for Predicting Drug Solubility in Solvents60PharmDE: A new expert system for drug-excipient compatibility evaluation55Sub-50 nm ultra-small organic drug nanosuspension prepared by cavi-precipitation and its brain targeting potential13Computational pharmaceutics - A new paradigm of drug delivery218Machine Learning for Process Monitoring and Control of Hot-Melt Extrusion: Current State of the Art and Future Directions52In silico formulation prediction of drug/cyclodextrin/polymer ternary complexes by machine learning and molecular modeling techniques37NANOKRISTAL TEKNOLOJISI: ÇÖZÜNÜRLÜĞÜ DÜŞÜK İLAÇLARIN ORAL BIYOYARARLANIMIN ARTIRILMASI0Enhancing the efficacy of albendazole for liver cancer treatment using mesoporous silica nanoparticles: an in vitro study12Prediction of lipid nanoparticles for mRNA vaccines by the machine learning algorithm165Prediction of small-molecule compound solubility in organic solvents by machine learning algorithms85A Strategy for the Effective Optimization of Pharmaceutical Formulations Based on Parameter-Optimized Support Vector Machine Model10Optimizing the Formulation of Poorly Water-Soluble Drugs2Merging data curation and machine learning to improve nanomedicines113Nanomedicine Ex Machina: Between Model-Informed Development and Artificial Intelligence43Drug Nanocrystals for Active Tumor-Targeted Drug Delivery56Development of in silico methodology for siRNA lipid nanoparticle formulations42Nanocarrier Drug Delivery Systems: Characterization, Limitations, Future Perspectives and Implementation of Artificial Intelligence531comprehensive revision on the nanocarrier drug delivery systems with special reference to artificial intelligence83D bioprinted microparticles: Optimizing loading efficiency using advanced DoE technique and machine learning modeling37Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?67Machine learning in accelerating microsphere formulation development38Convergence of artificial intelligence and nanotechnology in the development of novel formulations for cancer treatment5Impact of AI on drug delivery and pharmacokinetics: The present scenario and future prospects10Re-envisioning the design of nanomedicines: harnessing automation and artificial intelligence43Blood pressure stratification using photoplethysmography and light gradient boosting machine36How can machine learning and multiscale modeling benefit ocular drug development?49Application of Computing as a High-Practicability and -Efficiency Auxiliary Tool in Nanodrugs Discovery9Predicting liposome formulations by the integrated machine learning and molecular modeling approaches49Emulsification-assisted spectroscopic analysis of black seed oil in alginate beads: method development and validation3Role of nanotechnology in the prolonged release of drugs by the subcutaneous route9Deep Learning for Identifying Promising Drug Candidates in Drug–Phospholipid Complexes5Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design1061Knowledge Gaps in Generating Cell-Based Drug Delivery Systems and a Possible Meeting with Artificial Intelligence30Recent Progression in Nanocarrier based Techniques to Address Fungal Infections and Patent Status in Drug Development Process7Functional Materials for Subcellular Targeting Strategies in Cancer Therapy: Progress and Prospects41Unravelling the Molecular Mechanisms of a Quercetin Nanocrystal for Treating Potential Parkinson’s Disease in a Rotenone Model: Supporting Evidence of Network Pharmacology and In Silico Data Analysis12Exploiting Pharma 4.0 Technologies in the Non-Biological Complex Drugs Manufacturing: Innovations and Implications36Design of experiment (DoE) as a quality by design (QbD) tool to optimise formulations of lipid nanoparticles for nose-to-brain drug delivery48FormulationAI: a novel web-based platform for drug formulation design driven by artificial intelligence79Strategies of Artificial intelligence tools in the domain of nanomedicine66Applying machine learning to identify ionizable lipids for nanoparticle-mediated delivery of mRNA14A Review on the Use of Machine Learning for Pharmaceutical Formulations1Artificial intelligence in drug discovery and clinical practice4Regulatory Explainability in AI-Assisted Pharmaceutical Formulation and Process Development0Nanoparticle preparation of pharmaceutical compounds via wet milling: Current status and future prospects29Step‐By‐Step Standardization of the Bottom‐Up Semi‐Automated Nanocrystallization of Pharmaceuticals: A Quality By Design and Design of Experiments Joint Approach20How Precise are Nanomedicines in Overcoming the Blood–Brain Barrier? A Comprehensive Review of the Literature45Photoaged polystyrene nanoplastics exposure results in reproductive toxicity due to oxidative damage in Caenorhabditis elegans12Artificial Intelligence in the Development and Optimization of Nanocarriers0Green synthesized silver nanoparticles in two stages: Box Behnken Design to machine learning1Computational Frontiers in Aptamer-Based Nanomedicine for Precision Therapeutics: A Comprehensive Review53Computational Resources in Pharmaceutics0Opportunities and Challenges of Artificial Intelligence ( AI ) in Drug Delivery5Computer-driven formulation development of Ginsenoside Rh2 ternary solid dispersion5QbD-based formulation development of resveratrol nanocrystal incorporated into soluble mesoporous material: Pharmacokinetic proof of concept study19The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review77Solubilization techniques used for poorly water-soluble drugs196Nanocrystallization strategies for enhanced HIV drug performance from solubility to sustained action3Toward the Integration of Machine Learning and Molecular Modeling for Designing Drug Delivery Nanocarriers122Microcapsule Preparation and Properties of Flavonoid Extract from Immature Citrus reticulata ‘Chachiensis’ Peel2Comminution technologies in the pharmaceutical industry: a comprehensive review with recent advances8AI/ML-driven nanocarriers for the management of neurodegeneration4Optimizing critical quality attributes of fast disintegrating tablets using artificial neural networks: a scientific benchmark study2FormulationBCS: A Machine Learning Platform Based on Diverse Molecular Representations for Biopharmaceutical Classification System (BCS) Class Prediction19Artificial intelligence-driven rational design of ionizable lipids for mRNA delivery201From Formulation Search to Therapeutic Exposure: The Changing Role of Artificial Intelligence in Advanced Drug-Delivery Development1High Pressure Homogenization Techniques for the Production of Nanomaterials1Suspension-Based Long-Acting Injectables2Nanosuspension Innovations: Expanding Horizons in Drug Delivery Techniques73Azilsartan Kamedoxomil: Solubility Enhancement Techniques0A novel paradigm on data and knowledge-driven drug formulation development: Opportunities and challenges of machine learning4A new era of psoriasis treatment: Drug repurposing through the lens of nanotechnology and machine learning12Precise nanoscale fabrication technologies, the “last mile” of medicinal development82Combining High-Throughput Screening and Machine Learning to Predict the Formation of Both Binary and Ternary Amorphous Solid Dispersion Formulations for Early Drug Discovery and Development12Pure drug nanomedicines - where we are?2Artificial Intelligence in Pharmaceutical Drug Development-challenges and the Way Forward0Machine learning reshapes the paradigm of nanomedicine research39Leveraging Artificial Intelligence for Advancements in Liquid Dosage Formulations in the Pharmaceutical Industry12Untitled work0The Convergence of Artificial Intelligence and Microfluidics in Drug Research and Development18Integrating artificial intelligence and physiologically based pharmacokinetic modeling to predict in vitro and in vivo fate of amorphous solid dispersions15Progress and Prospects of Transdermal Treatment of Allergic Skin Diseases with Natural Drugs based on Nanotechnology7Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery14FormulationLAI: A physiology-based machine learning framework for accelerated development of long-acting injectable formulations10Recent advances in potential drug nanocarriers for CNS disorders: a review27Current Status on the Convergence of Artificial Intelligence and Formulation Development in Industry: A Review3Accelerating discoveries in cancer nanomedicine using AI16Artificial intelligence in drug delivery system development0Crystal engineering for poorly water-soluble drugs: From design to applications14Machine learning empowered formulation design, optimization and characterization of nanoparticulate drug delivery systems: Current applications, challenges, and future perspectives49Exploiting colloidal drug aggregation for drug delivery: From promise to prediction using computational tools3Artificial Intelligence in Ocular Drug Delivery: Precision Drug Delivery's New Horizon6Recent advancements in drug nanocrystals: Innovation in formulation and drug delivery7Quality by Computational Design: Harnessing AI to Advance Rational Drug Development12Application of Machine Learning in the Drug Development Process0Artificial intelligence for drug discovery and development0Parenteral Administration of Drug Nanocrystals: The Role of Long-Acting Injectables0Predictive Modeling of Pharmaceutical Nanocrystals from 2017 to 2026 Across Particle Engineering, Physical Stability, Dissolution, and Oral Performance0Charge-reversal nanoparticle-based microneedle systems: emerging trends and future perspectives in transdermal drug delivery1The Role and Potential of Nanotechnology in Improving Solubility and Enhancing Bioavailability2Artificial intelligence-assisted lipid nanoparticles formulation in drug delivery for precision therapy2Machine learning algorithms to predict spray dried protein/peptide formulations0Artificial intelligence-enabled cross-scale integration of traditional Chinese medicine and biomedicine for sepsis: from mechanisms to delivery0

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  4. Modeling and Simulation of Process Technology for Nanoparticulate Drug Formulations—A Particle Technology Perspective

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  5. Review of machine learning algorithms' application in pharmaceutical technology

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  6. Enhancing the Efficacy of Albendazole for Liver Cancer Treatment Using Mesoporous Silica Nanoparticles: An In Vitro Study

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  18. Prediction of lipid nanoparticles for mRNA vaccines by the machine learning algorithm

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  20. A Strategy for the Effective Optimization of Pharmaceutical Formulations Based on Parameter-Optimized Support Vector Machine Model

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