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

AI-driven drug discovery and synthesis

Showing 13-24 of 245 articles

During neurotransmitter release events in synaptic plasticity regulation

CRISPR-Cas12a gene editing for immediate pandemic response in zoonotic viruses

Integrating neutrino physics with medical imaging for deep-tissue cancer detection

During circadian rhythm minima to optimize timed drug delivery in chronotherapy

Quantum annealing methods for protein folding prediction in computational biology

Optimizing drug discovery pipelines with computational retrosynthesis and AI-driven reaction prediction

Gut-brain axis modulation through epigenetic reprogramming of microbiome metabolites

Automated retrosynthesis for drug discovery using quantum annealing methods

Via quantum annealing methods to solve protein folding problems in neurodegenerative disease research

Harnessing neutrino physics for advanced non-invasive medical imaging diagnostics

Measuring synaptic time delays to map neural communication in neurodegenerative diseases

Optimizing synaptic vesicle recycling pathways for neurodegenerative disease therapeutic targets