AIMC Topic: Pharmaceutical Research

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Emerging horizons of AI in pharmaceutical research.

Advances in pharmacology (San Diego, Calif.)
Artificial Intelligence (AI) has revolutionized drug discovery by enhancing data collection, integration, and predictive modeling across various critical stages. It aggregates vast biological and chemical data, including genomic information, protein ...

Generative AI: driving productivity and scientific breakthroughs in pharmaceutical R&D.

Drug discovery today
The rapid advancement of generative artificial intelligence (AI) is reshaping pharmaceutical research and development (R&D), offering opportunities across drug discovery and development. Generative AI (GenAI) enhances productivity by enabling virtual...

The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review.

AAPS PharmSciTech
Currently, artificial intelligence (AI), machine learning (ML), and deep learning (DL) are gaining increased interest in many fields, particularly in pharmaceutical research and development, where they assist in decision-making in complex situations....

Machine Learning and Artificial Intelligence in Pharmaceutical Research and Development: a Review.

The AAPS journal
Over the past decade, artificial intelligence (AI) and machine learning (ML) have become the breakthrough technology most anticipated to have a transformative effect on pharmaceutical research and development (R&D). This is partially driven by revolu...

Artificial intelligence in drug discovery and development.

Drug discovery today
Artificial intelligence-integrated drug discovery and development has accelerated the growth of the pharmaceutical sector, leading to a revolutionary change in the pharma industry. Here, we discuss areas of integration, tools, and techniques utilized...

The upside of being a digital pharma player.

Drug discovery today
We investigated the state of artificial intelligence (AI) in pharmaceutical research and development (R&D) and outline here a risk and reward perspective regarding digital R&D. Given the novelty of the research area, a combined qualitative and quanti...

Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis.

Journal of medicinal chemistry
Artificial intelligence and machine learning have demonstrated their potential role in predictive chemistry and synthetic planning of small molecules; there are at least a few reports of companies employing synthetic planning into their overall appr...

An Artificial Intelligence Approach to Proactively Inspire Drug Discovery with Recommendations.

Journal of medicinal chemistry
Artificial intelligence (AI) is becoming established in drug discovery. For example, many in the industry are applying machine learning approaches to target discovery or to optimize compound synthesis. While our organization is certainly applying the...

AI in Health: State of the Art, Challenges, and Future Directions.

Yearbook of medical informatics
INTRODUCTION: Artificial intelligence (AI) technologies continue to attract interest from a broad range of disciplines in recent years, including health. The increase in computer hardware and software applications in medicine, as well as digitization...