AI Medical Compendium Journal:
Clinical pharmacology and therapeutics

Showing 51 to 59 of 59 articles

Innovation in Pharmacovigilance: Use of Artificial Intelligence in Adverse Event Case Processing.

Clinical pharmacology and therapeutics
Automation of pharmaceutical safety case processing represents a significant opportunity to affect the strongest cost driver for a company's overall pharmacovigilance budget. A pilot was undertaken to test the feasibility of using artificial intellig...

Artificial intelligence (AI) systems for interpreting complex medical datasets.

Clinical pharmacology and therapeutics
Advances in machine intelligence have created powerful capabilities in algorithms that find hidden patterns in data, classify objects based on their measured characteristics, and associate similar patients/diseases/drugs based on common features. How...

Improved Prediction of Drug-Induced Torsades de Pointes Through Simulations of Dynamics and Machine Learning Algorithms.

Clinical pharmacology and therapeutics
The ventricular arrhythmia Torsades de Pointes (TdP) is a common form of drug-induced cardiotoxicity, but prediction of this arrhythmia remains an unresolved issue in drug development. Current assays to evaluate arrhythmia risk are limited by poor sp...

A Tool for Predicting Regulatory Approval After Phase II Testing of New Oncology Compounds.

Clinical pharmacology and therapeutics
We developed an algorithm (ANDI) for predicting regulatory marketing approval for new cancer drugs after phase II testing has been conducted, with the objective of providing a tool to improve drug portfolio decision-making. We examined 98 oncology dr...

Enabling the curation of your pharmacogenetic study.

Clinical pharmacology and therapeutics
As pharmacogenomics becomes integrated into clinical practice, curation of published studies becomes increasingly important. At the Pharmacogenomics Knowledgebase (PharmGKB; www.pharmgkb.org), pharmacogenetic associations reported in published articl...