Here’s a list of high-quality resources to supplement your study plan:
🔬 Molecular Biology & Genetics Resources 📺 Video Lectures & Courses
✅ MIT OpenCourseWare – Intro to Biology
https://ocw.mit.edu/courses/biology/7-01sc-fundamentals-of-biology-fall-2011/Covers DNA, RNA, proteins, metabolism, and bioengineering basics.
✅ HarvardX – Principles of Biochemistry (Free on edX)
https://www.edx.org/course/principles-of-biochemistryFocuses on protein function, metabolism, and cellular processes.
✅ Cold Spring Harbor Laboratory – DNA Learning Center
https://www.dnalc.org/resources/Great animations and explanations of gene editing, CRISPR, and synthetic biology. 📚 Research Papers & Articles
✅ Synthetic Biology & Bioengineering
Church, G. M., & Regis, E. (2012). "Regenesis: How Synthetic Biology Will Reinvent Nature and Ourselves." Gibson, D. G. et al. (2010). "Creation of a Bacterial Cell Controlled by a Chemically Synthesized Genome." Science.
✅ CRISPR & Genetic Engineering
Jinek, M. et al. (2012). "A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity." Science. Doudna, J. A., & Charpentier, E. (2014). "The New Frontier of Genome Engineering with CRISPR-Cas9." Science.
✅ Human Augmentation & Longevity
De Grey, A. D. N. J., & Rae, M. (2007). "Ending Aging: The Rejuvenation Breakthroughs That Could Reverse Human Aging in Our Lifetime." Sinclair, D. A., & LaPlante, M. (2019). "Lifespan: Why We Age—and Why We Don’t Have To." 🧠 Neuroscience, AI & Cybernetics 📺 Video Lectures & Courses
✅ MIT OpenCourseWare – The Human Brain
https://ocw.mit.edu/courses/brain-and-cognitive-sciences/Covers brain function, memory, cognition, and potential for augmentation.
✅ Stanford – Neural Networks & Deep Learning
https://cs231n.github.io/Explains AI-driven brain-computer interfaces and neural implants.
✅ Duke University – Medical Neuroscience (Coursera – Free Audit)
https://www.coursera.org/learn/medical-neuroscienceDeep dive into how neurons process information and how to enhance cognition. 📚 Research Papers & Articles
✅ Brain-Computer Interfaces & Neuroenhancement
Nicolelis, M. A. L. (2011). "Beyond Boundaries: The New Neuroscience of Connecting Brains with Machines." Hochberg, L. R. et al. (2006). "Neuronal Ensemble Control of Prosthetic Devices by a Human with Tetraplegia." Nature.
✅ AI & Cybernetic Enhancement
Kurzweil, R. (2005). "The Singularity Is Near: When Humans Transcend Biology." Bostrom, N. (2014). "Superintelligence: Paths, Dangers, Strategies." ⚛️ Physics, Biomechanics & Advanced Weaponry 📺 Video Lectures & Courses
✅ MIT OpenCourseWare – Classical Mechanics
https://ocw.mit.edu/courses/physics/8-01sc-classical-mechanics-fall-2011/Fundamental for understanding kinematics, forces, and energy transfer.
✅ MIT Plasma Science & Fusion Center
https://www.psfc.mit.edu/Covers high-energy physics and directed-energy weapons.
✅ DARPA & Future Soldier Tech Reports
https://www.darpa.mil/Research into exoskeletons, powered armor, and cognitive enhancements. 📚 Research Papers & Articles
✅ Biomechanics & Superhuman Strength
Vandenburgh, H. (1988). "Mechanical Forces and Their Second Messengers in Stimulating Cell Growth in Vitro." American Journal of Physiology. Bar-Cohen, Y. (2004). "Electroactive Polymer (EAP) Actuators as Artificial Muscles." SPIE Press.
✅ Advanced Weapon Systems & Particle Beams
Baez, J. (1994). "The Physics of Particle Beams and Railguns." Bronk, J. (2017). "Directed Energy Weapons: Physics & Military Applications." 🖥️ Computational Biology & Python for Bioengineering 📺 Video Lectures & Courses
✅ Harvard – Introduction to Computational Biology
https://projects.iq.harvard.edu/bioinformatics/coursesCovers genomic data analysis, protein folding simulations, and AI in biotech.
✅ Biopython Documentation & Tutorials
https://biopython.org/wiki/DocumentationTeaches how to process DNA sequences and analyze genetic data with Python. 📚 Research Papers & Articles
✅ AI & Genomic Data Processing
Libbrecht, M. W., & Noble, W. S. (2015). "Machine Learning Applications in Genetics and Genomics." Nature Reviews Genetics. Eraslan, G. et al. (2019). "Deep Learning: New Computational Modeling Techniques for Genomics." Nature Reviews Genetics.
✅ Python & Machine Learning for Bioengineering
Chollet, F. (2017). "Deep Learning with Python." Goodfellow, I., Bengio, Y., & Courville, A. (2016). "Deep Learning." MIT Press. 🔥 Next Steps
1️⃣ Start with the foundational video lectures on MIT OCW, Harvard, and Stanford.
2️⃣ Read 1-2 research papers per week on topics that interest you the most.
3️⃣ Begin coding with Biopython to analyze genetic data and simulations.
4️⃣ Follow DARPA & military tech reports to stay updated on defense-related biotech.
5️⃣ Join online forums like BioHackers, NeurotechX, or OpenAI communities to discuss real-world applications.
Would you like a structured coding project or experiment to apply what you're learning?
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