AIMC Topic: Pharmacology, Clinical
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Bridging pharmacology and neural networks: A deep dive into neural ordinary differential equations.
CPT: pharmacometrics & systems pharmacology
Jul 11, 2024
The advent of machine learning has led to innovative approaches in dealing with clinical data. Among these, Neural Ordinary Differential Equations (Neural ODEs), hybrid models merging mechanistic with deep learning models have shown promise in accura...
Ethics for artificial intelligence use in clinical pharmacology.
Indian journal of pharmacology
Jul 5, 2024
Applications of Advanced Natural Language Processing for Clinical Pharmacology.
Clinical pharmacology and therapeutics
Jan 24, 2024
Natural language processing (NLP) is a branch of artificial intelligence, which combines computational linguistics, machine learning, and deep learning models to process human language. Although there is a surge in NLP usage across various industries...
Artificial Intelligence: From Buzzword to Useful Tool in Clinical Pharmacology.
Clinical pharmacology and therapeutics
Nov 13, 2023
The advent of artificial intelligence (AI) in clinical pharmacology and drug development is akin to the dawning of a new era. Previously dismissed as merely technological hype, these approaches have emerged as promising tools in different domains, in...
Assessment of the capacity of ChatGPT as a self-learning tool in medical pharmacology: a study using MCQs.
BMC medical education
Nov 13, 2023
BACKGROUND: ChatGPT is a large language model developed by OpenAI that exhibits a remarkable ability to simulate human speech. This investigation attempts to evaluate the potential of ChatGPT as a standalone self-learning tool, with specific attentio...
Artificial intelligence and machine learning for clinical pharmacology.
British journal of clinical pharmacology
Nov 12, 2023
Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug discovery and development, clinical trials, personalized medicine, pharmacogenomics, pharmacovigilance and clinical toxicology. The rapid progress of AI in...
Letter to the editor concerning the article: "Artificial intelligence in clinical pharmacology: A case study and scoping review of large language models and bioweapon potential".
British journal of clinical pharmacology
Oct 12, 2023
Artificial Intelligence and Machine Learning Approaches to Facilitate Therapeutic Drug Management and Model-Informed Precision Dosing.
Therapeutic drug monitoring
Feb 3, 2023
BACKGROUND: Therapeutic drug monitoring (TDM) and model-informed precision dosing (MIPD) have greatly benefitted from computational and mathematical advances over the past 60 years. Furthermore, the use of artificial intelligence (AI) and machine lea...
The potential and pitfalls of artificial intelligence in clinical pharmacology.
CPT: pharmacometrics & systems pharmacology
Jan 30, 2023
GCN-BMP: Investigating graph representation learning for DDI prediction task.
Methods (San Diego, Calif.)
Jul 3, 2020
One drug's pharmacological activity may be changed unexpectedly, owing to the concurrent administration of another drug. It is likely to cause unexpected drug-drug interactions (DDIs). Several machine learning approaches have been proposed to predict...
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