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

AI-driven drug discovery and synthesis

Showing 73-84 of 245 articles

Targeting prion disease reversal via CRISPR-based gene editing and chaperone proteins

For automated retrosynthesis with AI-driven molecular pathway optimization

For senolytic drug discovery using CRISPR-enabled zombie cell targeting

Decoding synaptic vesicle recycling defects in early-stage Parkinson's disease with super-resolution microscopy

Accelerating drug discovery via reaction prediction transformers in organic synthesis

Accelerating drug discovery using reaction prediction transformers for retrosynthetic analysis

Unraveling protein folding mechanics using knot theory and molecular dynamics

Through autonomous lab assistants for accelerated drug discovery pipelines

Integrating neutrino physics with medical imaging for early cancer detection

Optimizing viral vector production for gene therapy using high-throughput microfluidics

Employing retrieval-augmented generation to accelerate drug repurposing for rare diseases

Investigating inflammasome inhibition as a therapeutic strategy for age-related neurodegenerative diseases