Machine Learning Uncovers Adverse Drug Effects on Intestinal Bacteria
The human gut microbiome, composed of trillions of microorganisms, plays an essential role in human health. Many factors shape gut microbiome composition over the life span, including changes to diet, lifestyle, and medication use. Though not routinely tested during drug development, drugs can exert...
Saved in:
Main Authors: | Laura E. McCoubrey (Author), Moe Elbadawi (Author), Mine Orlu (Author), Simon Gaisford (Author), Abdul W. Basit (Author) |
---|---|
Format: | Book |
Published: |
MDPI AG,
2021-07-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine Learning Predicts Drug Metabolism and Bioaccumulation by Intestinal Microbiota
by: Laura E. McCoubrey, et al.
Published: (2021) -
Machine Learning and Machine Vision Accelerate 3D Printed Orodispersible Film Development
by: Colm S. O'Reilly, et al.
Published: (2021) -
Virtually Possible: Enhancing Quality Control of 3D-Printed Medicines with Machine Vision Trained on Photorealistic Images
by: Siyuan Sun, et al.
Published: (2023) -
3D printed multi-drug-loaded suppositories for acute severe ulcerative colitis
by: Atheer Awad, et al.
Published: (2023) -
3D printed infliximab suppositories for rectal biologic delivery
by: Atheer Awad, et al.
Published: (2023)