Litcius/Paper detail

AI-powered breakthroughs in material science and biomedical polymers

Hossein Omidian

2024Journal of Bioactive and Compatible Polymers27 citationsDOI

Abstract

This commentary examines how Artificial Intelligence (AI) and Machine Learning (ML) are transforming biomedical polymers, drug delivery systems, wearable electronics, smart materials, advanced manufacturing, and neuromorphic technologies. AI enhances prediction accuracy, optimizes material properties, accelerates development, and enables innovative applications such as smart biomaterials, personalized medicine, and tissue engineering. Specific applications include predicting polymer properties, optimizing drug release kinetics, improving drug delivery system design, and creating responsive materials for advanced biomedical devices. AI also advances wearable sensors, flexible electronics, 3D/4D printing, sustainable materials, and neuromorphic computing, leading to breakthroughs in health monitoring, human-computer interaction, and environmental sustainability.

Topics & Concepts

Neuromorphic engineeringElectronicsDrug deliveryWearable computerWearable technologyNanotechnologyComputer sciencePersonalized medicineEngineeringMaterials scienceArtificial intelligenceEmbedded systemBioinformaticsElectrical engineeringArtificial neural networkBiologyAdvanced Sensor and Energy Harvesting MaterialsMachine Learning in Materials ScienceAdditive Manufacturing and 3D Printing Technologies