Atomfair Brainwave Hub: SciBase II / Computational Modeling and Optimization / AI-driven synthesis and drug discovery optimization

AI-driven synthesis and drug discovery optimization

Showing 1-8 of 8 articles

Using nanoscale mixing to enhance targeted drug delivery in cancer therapies

nanomedicine drug delivery cancer treatment nanoparticles pharmacokinetics

Optimizing protein folding intermediates via microwave-assisted synthesis for faster drug development

protein folding microwave synthesis drug development intermediates high-throughput

Accelerating drug discovery through autonomous lab assistants with reinforcement learning

autonomous labs drug discovery reinforcement learning robotics AI optimization

Accelerating drug discovery via microwave-assisted synthesis of complex heterocyclic compounds

microwave synthesis heterocyclic compounds drug discovery medicinal chemistry reaction optimization

Enhancing drug delivery efficiency via microwave-assisted synthesis of porous nanoparticles

microwave synthesis porous nanoparticles drug delivery nanomedicine pharmacokinetics

Using nanoscale mixing with real-time crystallization control for advanced drug delivery

nanoscale mixing crystallization control drug delivery bioavailability real-time monitoring

Optimizing viral vector engineering for targeted gene delivery in neurodegenerative therapies

viral vectors gene therapy neurodegenerative diseases targeted delivery AAV optimization

Accelerating drug development for continuous flow chemistry targeting 2025 regulatory approval milestones

continuous flow synthesis API manufacturing process intensification regulatory pathways modular chemistry