
This work presents a comprehensive computational framework envisioning AI as an extension of humanity's adaptive immune system. Using advanced machine learning and bioinformatics pipelines, we demonstrate in-silico vaccine design for autoimmune diseases, multidrug-resistant pathogens, and personalized cancer immunotherapy. The framework integrates open genomic databases (NCBI, UniProt, PDB) with AlphaFold 3 structure prediction and generative AI to create transparent, reproducible mRNA vaccine design workflows. All results are computationally simulated—no wet-lab or clinical experiments were conducted. Developed by Alkhaleeli BioAI LLC, this serves as an open scientific blueprint for researchers, educators, and policymakers advancing AI-driven medicine, biomedical ethics, and global health preparedness.
AI medicine, computational immunology, mRNA vaccine, bioinformatics, AlphaFold, precision medicine, in-silico research, Alkhaleeli BioAI LLC
AI medicine, computational immunology, mRNA vaccine, bioinformatics, AlphaFold, precision medicine, in-silico research, Alkhaleeli BioAI LLC
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