AIMC Topic: Drug Development
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Machine learning and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study.
Expert opinion on drug metabolism & toxicology
Jul 10, 2024
BACKGROUND: Cardiotoxicity is a major cause of drug withdrawal. The hERG channel, regulating ion flow, is pivotal for heart and nervous system function. Its blockade is a concern in drug development. Predicting hERG blockade is essential for identify...
Evolution of Drug Development and Regulatory Affairs: The Demonstrated Power of Artificial Intelligence.
Clinical therapeutics
Jul 8, 2024
PURPOSE: Artificial intelligence (AI) refers to technology capable of mimicking human cognitive functions and has important applications across all sectors and industries, including drug development. This has considerable implications for the regulat...
Artificial intelligence for small molecule anticancer drug discovery.
Expert opinion on drug discovery
Jun 18, 2024
INTRODUCTION: The transition from conventional cytotoxic chemotherapy to targeted cancer therapy with small-molecule anticancer drugs has enhanced treatment outcomes. This approach, which now dominates cancer treatment, has its advantages. Despite th...
Advances in artificial intelligence for drug delivery and development: A comprehensive review.
Computers in biology and medicine
Jun 7, 2024
Artificial intelligence (AI) has emerged as a powerful tool to revolutionize the healthcare sector, including drug delivery and development. This review explores the current and future applications of AI in the pharmaceutical industry, focusing on dr...
The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?
Molecules (Basel, Switzerland)
Jun 7, 2024
The journey of drug discovery (DD) has evolved from ancient practices to modern technology-driven approaches, with Artificial Intelligence (AI) emerging as a pivotal force in streamlining and accelerating the process. Despite the vital importance of ...
[Artificial intelligence-driven drug development against autoimmune diseases].
Medecine sciences : M/S
May 31, 2024
Recent progress in machine learning approaches for predicting carcinogenicity in drug development.
Expert opinion on drug metabolism & toxicology
May 27, 2024
INTRODUCTION: This review explores the transformative impact of machine learning (ML) on carcinogenicity prediction within drug development. It discusses the historical context and recent advancements, emphasizing the significance of ML methodologies...
Best practices for machine learning in antibody discovery and development.
Drug discovery today
May 17, 2024
In the past 40 years, therapeutic antibody discovery and development have advanced considerably, with machine learning (ML) offering a promising way to speed up the process by reducing costs and the number of experiments required. Recent progress in ...
Lessons learnt from machine learning in early stages of drug discovery.
Expert opinion on drug discovery
May 10, 2024
Another string to your bow: machine learning prediction of the pharmacokinetic properties of small molecules.
Expert opinion on drug discovery
May 10, 2024
INTRODUCTION: Prediction of pharmacokinetic (PK) properties is crucial for drug discovery and development. Machine-learning (ML) models, which use statistical pattern recognition to learn correlations between input features (such as chemical structur...
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