Hybrid Quantum Neural Network for Drug Response Prediction

∟Reference Citations in 2023

∟Hybrid Quantum Neural Network for Drug Response Prediction

'RDKit: Open-Source Cheminformatics Software' tutorials were cited in a biotechnology information paper on nih.gov in 2023.

The RDKit: Open-Source Cheminformatics Software tutorial was cited in a biotechnology information paper on nih.gov in 2023.

Subject: Hybrid Quantum Neural Network for Drug Response Prediction
Date: 2023-05-10
Author: Sagingalieva A, Kordzanganeh M, Kenbayev N, Kosichkina D, 
  Tomashuk T, Melnikov A.
Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216276/

Simple Summary

This work successfully employs a novel approach in processing patient
and drug data to predict the drug response for cancer patients. The
approach uses a deep quantum computing circuit as part of a machine
learning architecture to simultaneously consider the cell line and the
chemical and predict its effect. The resultant hybrid quantum
architecture predicted the drug response with 15% better effectiveness
than its classical counterpart. This result presents a step towards
designing personalized drugs using the abilities of quantum computers.

References
...
- Landrum G. Open-Source Cheminformatics Software. 2016. [(accessed on 1
  August 2022)]. Available online:
  https://www.herongyang.com/Cheminformatics
  /RDKit-Open-Source-Cheminformatics-Software.html