249 citations
- AbbVie (United States)US1 paper
- CEA GrenobleFR1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- Deloitte (United States)US1 paper
- Eli Lilly (Canada)CA1 paper
- Eli Lilly (United States)US1 paper
- Georgia Institute of TechnologyUS1 paper
- IBM Research - Thomas J. Watson Research CenterUS1 paper
- IBM Research - ZurichCH1 paper
- Illinois CollegeUS1 paper
- Innsbruck Medical UniversityAT1 paper
- InsermFR1 paper
6 papers
Robust Quantum Reservoir Computing for Molecular Property Prediction
Daniel Beaulieu, Milan Kornjaca, Zoran Krunic +4
Machine learning has been increasingly utilized in the field of biomedical research to accelerate the drug discovery process. In recent years, the emergence of quantum computing ha…
Quantum kernels for real-world predictions based on electronic health records
Zoran Krunic, Frederik F. Flöther, George Seegan +2
In recent years, research on near-term quantum machine learning has explored how classical machine learning algorithms endowed with access to quantum kernels (similarity measures)…
Machine Learning Applications for Therapeutic Tasks with Genomics Data
Kexin Huang, Cao Xiao, Lucas M. Glass +3
Thanks to the increasing availability of genomics and other biomedical data, many machine learning approaches have been proposed for a wide range of therapeutic discovery and devel…
Healthcare Utilization and Perceived Health Status from Falun Gong Practitioners in Taiwan: A Pilot SF-36 Survey
Yu-Whuei Hu, Li-Shan Huang, Eric J. Yeh +1
Objective: Falun Gong (FLG) is a practice of mind and body focusing on moral character improvement along with meditative exercises. This 2002 pilot study explored perceived health…
Clinical Trial Drug Safety Assessment for Studies and Submissions Impacted by COVID-19
Mary Nilsson, Brenda Crowe, Greg Anglin +4
In this paper, we provide guidance on how standard safety analyses and reporting of clinical trial safety data may need to be modified, given the potential impact of the COVID-19 p…
Guidelines for the next 10 years of proteomics
Marc R Wilkins, Ron D Appel, Jennifer E Van Eyk +13
In the last ten years, the field of proteomics has expanded at a rapid rate. A range of exciting new technology has been developed and enthusiastically applied to an enormous varie…