BIO Introduction
Ecology Synthetic Biotechnology (EcoSynBio): Engineered Biosystems for Environmental Remediation and Sustainable Production Systemic Solutions Based on 2025 Synthetic Biology Frontiers Core Paradigm: Transitioning from Linear Economy to Biocycling EcoSynBio integrates gene editing, metabolic enginee…
Codon Bio: Innovations in Codon Optimization, Gene Synthesis, and Protein Engineering 1. Codon Optimization Breakthroughs AI-Driven Codon Optimization Absci’s CO-BERTa model integrates deep learning with high-throughput experimental data to predict codon usage for optimal protein expression. This sy…
SynBioE (Synthetic Biology Engineering): Advances and Applications in Bioenergy SynBioE, the integration of gene editing, metabolic engineering, and artificial intelligence, is revolutionizing bioenergy production by transitioning from fossil fuels to sustainable bio-based alternatives. Below is a s…
SynBioV (Synthetic Biology Vector): Advances and Applications in Viral Vector Optimization and Vaccine Development SynBioV, the synthetic biology-driven optimization of viral vectors, has emerged as a cornerstone of modern vaccine development. By integrating gene editing, artificial intelligence, an…
SynBioH: High-Performance Biosynthesis Technologies and Applications SynBioH (High-Performance Biosynthesis) represents a cutting-edge branch of synthetic biology that integrates gene editing, metabolic engineering, artificial intelligence, and automation to achieve revolutionary breakthroughs in ef…
Syn BioF: A Comprehensive Analysis of Functional Research Tools in Synthetic Biology Synthetic Biology Functional Research Tools (Syn BioF) serve as the core engine driving biological system design, optimization, and industrial translation. By integrating engineering principles, computational models…
Syn BioML: Integrating Synthetic Biology and Machine Learning—Breakthroughs and Frontiers The convergence of synthetic biology and machine learning (ML)—termed Syn BioML—is revolutionizing life sciences by replacing traditional trial-and-error approaches with data-driven intelligent design, enabling…
RoboSynAI: The Convergence of AI, Robotics, and Synthetic Biology RoboSynAI—the deep integration of artificial intelligence (AI), robotics, and synthetic biology—is reshaping industries such as healthcare, manufacturing, energy, and environmental sustainability. This multidisciplinary fusion acceler…
In Vivo Delivery: Applications in Gene Therapy, Tumor Targeting, and Personalized Medicine In vivo delivery refers to the direct administration of bioactive substances (e.g., gene-editing tools, nucleic acid drugs, proteins) into target tissues or cells within a living organism. Its core value lies …
Self-Healing Materials in Life Sciences: Definitions, Mechanisms, and Applications Self-healing materials are intelligent substances capable of autonomously repairing physical damage (e.g., cracks, fractures) or functional degradation through intrinsic or extrinsic mechanisms. In life sciences, this…