Related Experiment Video
Updated: Sep 23, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
Published on: October 27, 2023
Artificial Intelligence and Machine Learning for Safe Medicines
Andrew Bate1,2,3, Yuan Luo4
1GSK, Brentford, UK. andrew.x.bate@gsk.com.
Abstract:
Authors' views on the role of artificial intelligence and machine learning in pharmacovigilance. (MP4 139807 kb).
More Related Videos
06:19Constructing and Visualizing Models using Mime-based Machine-learning Framework
Published on: July 22, 2025
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
Related Concept Videos
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
Microorganisms in Medicine and Therapeutics
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Drug Discovery: Overview
Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists