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RESEARCH PAPER · Matter · 2023

Self-driving laboratories: A paradigm shift in nanomedicine development

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Self-driving laboratories: A paradigm shift in nanomedicine developmentOriginalDriving school for self-driving labs17Frontiers in nonviral delivery of small molecule and genetic drugs, driven by polymer chemistry and machine learning for materials informatics12What is missing in autonomous discovery: open challenges for the community44Olympus, enhanced: benchmarking mixed-parameter and multi-objective optimization in chemistry and materials science8Intelligent Identification of Moving Trajectory of Autonomous Vehicle Based on Friction Nano-Generator47Revolutionizing drug formulation development: The increasing impact of machine learning128Advanced optical imaging for the rational design of nanomedicines18Accelerated chemical science with AI86Data-driven development of an oral lipid-based nanoparticle formulation of a hydrophobic drug27ChemGymRL: A customizable interactive framework for reinforcement learning for digital chemistry8Computational modeling for medical data: From data collection to knowledge discovery11Cost-informed Bayesian reaction optimization17Sources of biases in the in vitro testing of nanomaterials: the role of the biomolecular corona9The future of self-driving laboratories: from human in the loop interactive AI to gamification102Toward microfluidic continuous-flow and intelligent downstream processing of biopharmaceuticals64Virtual laboratories: transforming research with AI25Semiconducting polymer dots for multifunctional integrated nanomedicine carriers18Toward Self-Driven Autonomous Material and Device Acceleration Platforms (AMADAP) for Emerging Photovoltaics Technologies54Partnerships and collaboration drive innovative graduate training in materials informatics3Combined helical-blade-strengthened co-flow focusing and high-throughput screening for the synthesis of highly homogeneous nanoliposomes16The advancement of artificial intelligence in biomedical research and health innovation: challenges and opportunities in emerging economies79Machine learning in drug delivery82Metaheuristics-guided active learning for optimizing reaction conditions of high-performance methane conversion5Self-Driving Laboratories for Chemistry and Materials Science674The Dawn of a New Pharmaceutical Epoch: Can AI and Robotics Reshape Drug Formulation?23Autonomous materials research and design: Characterization6A translational framework to DELIVER nanomedicines to the clinic333Future prospects of charnolosome in evidence-based personalized nanotheranostics0AI-assisted autonomous manufacturing of tailored drug-loaded nanoparticles by multi-step continuous-flow platform22Artificial intelligence for personalized nanomedicine; from material selection to patient outcomes159Hallmarks of Polymersome Characterization6A revolutionary paradigm in chemistry and materials science research: self-driving laboratories8Anubis: Bayesian optimization with unknown feasibility constraints for scientific experimentation23Atlas: a brain for self-driving laboratories50Nano-enabled delivery of anesthetics: mechanistic insights, technological advances and translational challenges4Navigating translational research in nanomedicine: A strategic guide to formulation and manufacturing71Mastering the complexities of cancer nanomedicine with text mining, AI and automation10Utilizing machine learning for predicting drug release from polymeric drug delivery systems60A dataset on formulation parameters and characteristics of drug-loaded PLGA microparticles20Combining High-Throughput Screening and Machine Learning to Predict the Formation of Both Binary and Ternary Amorphous Solid Dispersion Formulations for Early Drug Discovery and Development12A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research5Advances in relaxation and memory effects of magnetic nanoparticles for biomedical applications17Self-driving labs: The new frontier for GenAI-driven marketing research2Polymer microparticles in an evolving drug delivery landscape: challenges and the role of machine learning10Machine Learning and Artificial Intelligence in Nanomedicine141PQPAS: A High-Accuracy Pneumatic Quantitative Powder Auto-Sampling Workstation0The Convergence of Artificial Intelligence and Microfluidics in Drug Research and Development18Quality by digital design for accelerated sustainable nanomedicine development26Making in vitro release and formulation data AI-ready: A foundation for streamlined nanomedicine development4A Data-Driven Workflow for Nanomedicine Optimization Using Active Learning and Automated Experimentation18Ionizable lipids empowered with artificial intelligence for mRNA delivery3Next-generation nanomaterials for biomedical integration: Synergy, function, and translation1Nanomaterials in Drug Delivery: Leveraging Artificial Intelligence and Big Data for Predictive Design56Quantitative assessment of nanoparticle uptake and trafficking in advanced 3D cell models: A high-content screening core to enhance precision nanomedicine development1Design biology and mind–body health3Artificial intelligence in the development of structural and functional materials: A transformative frontier and complementary enabler of the rational alloy design framework10Self-driving lab discovers principles for steering spontaneous emission beyond conventional Fourier optics4The growing impact of machine learning on drug formulation science4Quality by Computational Design: Harnessing AI to Advance Rational Drug Development12AI for Formulation Optimization: A Mixed-Methods Review0AI-Driven Design of Multifunctional Polyimides: Revolutionizing the Paradigm from Data to Synthesis0Can we automate scientific reasoning in closed-loop experiments using large language models?4Nanotechnology for atherosclerotic plaque stabilisation: bridging innovation and clinical practice3Comparison and validation of a high-throughput lipid nanoparticle production and characterization workflow3The predictive edge: modeling and simulation in drug product development1From conventional screening to self-driving discovery: Organ-on-Chip platforms as engines for AI-guided nanomedicine5Foundation models and AI agents in oncology drug discovery3Physics-informed machine learning for tumor microenvironment-responsive nanomedicine: Recent updates3Accelerating biopharmaceutical innovation: A review of machine learning across the manufacturing pipeline1Artificial intelligence-assisted lipid nanoparticles formulation in drug delivery for precision therapy2Artificial intelligence-driven design and optimization of mitochondria-targeted nanocarriers for chronic heart failure1Smart Nanodelivery Systems for Immunometabolic Modulation in Osteoarthritis2Artificial intelligence and machine learning-guided bio-orthogonal engineering of smart soft polymeric nanocarriers for precision drug delivery and translational nanomedicine6Sequence-defined polymers for predictable gene delivery0Comparative assessment of dilute alloys and complex concentrated alloys: Design principles, processing, mechanisms, properties, and sustainability0Epigenetic-targeted nanomedicine in cancer: from molecular mechanisms to therapeutic revolution0A toolbox to optimize and scale up microfluidic production of lipid-based nanoparticles1Self-driving labs: A new paradigm in cell culture0Artificial Intelligence Integration With Nanotechnology for Cancer Therapy0Cancer Drug Delivery with Nanoparticles and Biomolecules: Stimuli-Responsive, Theranostic, and AI-Guided Approaches0Artificial intelligence and machine learning in nanoparticle drug delivery systems0AI technologies in personalized medicine and smart healthcare: Methods and applications0Useful tools for artificial intelligence-based development of nanomedicine and precision pharmaceuticals: smart solutions for future therapeutics0Engineering smart polymeric lipid nanoparticles for breast cancer: The convergence of AI and medical personalization to enhance efficacy and safety0

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  4. Olympus, enhanced: benchmarking mixed-parameter and multi-objective optimization in chemistry and materials science

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  5. Intelligent Identification of Moving Trajectory of Autonomous Vehicle Based on Friction Nano-Generator

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