4 citations · 6 across the 3 of their papers we have counts for
3 papers
quant-ph2026
Quantum-enhanced optimization for patient stratification in clinical trials
Laia Domingo, Christine Johnson
Clinical trials are notorious for their high failure rates and steep costs, leading to wasted time and resources spend, prolonged development timelines, and delayed patient access…
quant-ph2023★ 2 cited
A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery
L. Domingo, M. Chehimi, S. Banerjee +7
The field of drug discovery hinges on the accurate prediction of binding affinity between prospective drug molecules and target proteins, especially when such proteins directly inf…
quant-ph2023★ 4 cited
Hybrid quantum-classical convolutional neural networks to improve molecular protein binding affinity predictions
L. Domingo, M. Djukic, C. Johnson +1
One of the main challenges in drug discovery is to find molecules that bind specifically and strongly to their target protein while having minimal binding to other proteins. By pre…