Recent applications of quantitative systems pharmacology and machine learning models across diseases.

Aghamiri, Sara Sadat; Amin, Rada; Helikar, Tomás

Aghamiri, Sara Sadat; Amin, Rada; Helikar, Tomás.

Affiliation

Aghamiri SS; Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA.
Amin R; Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA. raminali2@unl.edu.
Helikar T; Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA. thelikar2@unl.edu.

J Pharmacokinet Pharmacodyn ; 49(1): 19-37, 2022 02.

Article in En | MEDLINE | ID: mdl-34671863

Subject(s)

Pharmacology; Systems Biology; Drug Development/methods; Machine Learning; Models, Biological; Network Pharmacology; Pharmacology/methods; Systems Biology/methods

Key words

Immuno-oncology; Immunotherapy; Machine learning; Predictive models; Quantitative systems pharmacology; Systems biology

Fulltext

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pharmacology / Systems Biology Type of study: Prognostic_studies / Systematic_reviews Language: En Journal: J Pharmacokinet Pharmacodyn Journal subject: FARMACOLOGIA Year: 2022 Type: Article Affiliation country: United States

Fulltext

XML

PubMed Links

Search on Google