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

AI-driven drug discovery and synthesis

Showing 181-192 of 245 articles

Targeting prion disease reversal through CRISPR-based protein misfolding correction

For protein folding intermediates during chaperone-mediated amyloid prevention

Integrating neutrino physics with medical imaging for early-stage tumor detection in femtoliter volumes

In gut-brain axis modulation, what microbial metabolites directly influence neuroinflammation pathways?

Harnessing photoredox chemistry for controversial but promising approaches in drug synthesis

Decoding neural communication across axonal propagation delays in neurodegenerative diseases

Using nanoscale mixing for targeted chemotherapy drug homogenization

Targeting cellular senescence via high-throughput catalyst screening for age-related disease interventions

Optimizing automated retrosynthesis using explainability through disentanglement in neural networks

Investigating synaptic vesicle recycling dynamics using super-resolution microscopy in neurodegenerative models

Targeting protein misfolding with senolytic drug discovery for age-related neurodegenerative diseases

Accelerating drug discovery with enzymatic polymerization and high-throughput screening