Shattering cancer with quantum machine learning: A preview.
Journal
Patterns (New York, N.Y.)
ISSN: 2666-3899
Titre abrégé: Patterns (N Y)
Pays: United States
ID NLM: 101767765
Informations de publication
Date de publication:
11 Jun 2021
11 Jun 2021
Historique:
entrez:
28
6
2021
pubmed:
29
6
2021
medline:
29
6
2021
Statut:
epublish
Résumé
Machine learning has become a standard tool for medical researchers attempting to model disease in various ways, including building models to predict response to medications, classifying disease subtypes, and discovering new therapies. In this preview, we review a paper that utilizes quantum computation in order to tackle a critical issue that exists with medical datasets: they are small, in that they contain few samples. The authors' work demonstrates the possibility that these quantum-based methods may provide an advantage for small datasets and thus have a real impact for medical researchers in the future.
Identifiants
pubmed: 34179850
doi: 10.1016/j.patter.2021.100281
pii: S2666-3899(21)00114-8
pmc: PMC8212130
doi:
Types de publication
News
Langues
eng
Pagination
100281Informations de copyright
© 2021 The Author.
Déclaration de conflit d'intérêts
J.G. is a founder and major shareholder of NetraMark Corp, a company working with medical data for the purpose of optimizing drug discovery and development.