Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI-driven drug discovery and synthesis

AI-driven drug discovery and synthesis

Showing 109-120 of 245 articles

Using computational retrosynthesis with epigenetic reprogramming for next-generation drug discovery

During circadian rhythm minima: targeting drug delivery for enhanced chemotherapy efficacy

Targeting prion disease reversal through CRISPR-Cas12a gene editing

During circadian rhythm minima to optimize cancer chronotherapy delivery

Real-time polymorph control in pharmaceutical crystallization using AI-driven laser modulation

Accelerating drug discovery using computational retrosynthesis via quantum computing

Targeting prion disease reversal through CRISPR-based gene editing techniques

Using computational retrosynthesis to discover novel pathways for complex natural products

For automated retrosynthesis using reinforcement learning in drug discovery pipelines

Epigenetic age reversal through targeted histone modification and mitochondrial reprogramming

Optimizing pharmaceutical synthesis through continuous flow chemistry with real-time analytics

Applying computational retrosynthesis to discover novel psychedelic derivative compounds