Editorial: Computational methods for pain pharmacology

Jakub Mlost; Mateusz Kucharczyk

doi:10.3389/fpain.2023.1298882

Editorial: Computational methods for pain pharmacology

Front Pain Res (Lausanne). 2023 Oct 19:4:1298882. doi: 10.3389/fpain.2023.1298882. eCollection 2023.

Authors

Jakub Mlost¹, Mateusz Kucharczyk^{2

3}

Affiliations

¹ Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden.
² Laboratory of Neurophysiology, Department of Biochemical Toxicology, Faculty of Pharmacy, Jagiellonian University Medical College, Krakow, Poland.
³ The Wolfson Centre, King's College London, London, United Kingdom.

No abstract available

Keywords: artificial intelligence; big data; computational methods; data mining; machine learning; pain.

Publication types

Editorial

Grants and funding

JM was supported by Polish National Agency of Academic Exchange BPN/BEK/2021/1/00152 and SciLifeLab RED fellowship scholarship. MK is supported by Medical Research Council (UK) NIRG grant (MR/W004739/1) held by Kirsty Bannister and Polish National Science Centre Miniatura grant (2022/06/X/NZ5/01381) held by MK.