AI-driven drug discovery and synthesis

Targeting protein misfolding with AI-driven drug discovery for neurodegenerative diseases

protein misfolding AI drug discovery neurodegenerative diseases amyloid-beta tauopathy

Using computational retrosynthesis for accelerated discovery of novel pharmaceutical intermediates

computational retrosynthesis pharmaceutical intermediates AI-driven synthesis drug discovery cheminformatics

For automated retrosynthesis using reinforcement learning and graph neural networks

retrosynthesis reinforcement learning graph neural networks drug discovery reaction pathways

Targeting prion disease reversal through few-shot hypernetworks and atomic precision defect engineering

neurodegenerative diseases protein misfolding computational biology nanomedicine adaptive therapeutics

For automated retrosynthesis with emphasis on metal-organic framework catalysts and graph neural networks

computational chemistry MOF catalysis reaction prediction sustainable synthesis machine learning

In femtoliter volumes: high-throughput drug screening using droplet microfluidics

femtoliter volumes droplet microfluidics drug screening high-throughput assays lab-on-a-chip

Across circadian gene oscillations to optimize chronotherapeutic drug delivery

circadian rhythms chronotherapy gene oscillations drug delivery personalized medicine

At terahertz oscillation frequencies for non-invasive early cancer detection

terahertz imaging cancer diagnostics non-invasive tech medical physics early detection

Real-time crystallization control for optimizing pharmaceutical polymorph production with AI feedback loops

polymorph control AI-driven crystallization pharmaceuticals real-time optimization nucleation engineering

Through solvent selection engines: accelerating drug polymorph discovery via machine learning

drug polymorphism solvent selection machine learning crystallization pharmaceuticals

Through century-long clinical trials to uncover late-life effects of early gene therapies

gene therapy longitudinal studies aging CRISPR epigenetic effects

Using computational retrosynthesis to discover novel photoredox catalysts for organic reactions

photoredox catalysis computational chemistry retrosynthesis organic synthesis machine learning