AIMC Topic: Drug Industry

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Trends of Artificial Intelligence (AI) Use in Drug Targets, Discovery and Development: Current Status and Future Perspectives.

Current drug targets
The applications of artificial intelligence (AI) in pharmaceutical sectors have advanced drug discovery and development methods. AI has been applied in virtual drug design, molecule synthesis, advanced research, various screening methods, and decisio...

AI-Driven Enhancements in Drug Screening and Optimization.

Methods in molecular biology (Clifton, N.J.)
The greatest challenge in drug discovery remains the high rate of attrition across the different phases of the process, which cost the industry billions of dollars every year. While all phases remain crucial to ensure pharmaceutical-level safety, qua...

Revolutionizing Pharmaceutical Industry: The Radical Impact of Artificial Intelligence and Machine Learning.

Current pharmaceutical design
This article explores the significant impact of artificial intelligence (AI) and machine learning (ML) on the pharmaceutical industry, which has transformed the drug development process. AI and ML technologies provide powerful tools for analysis, dec...

Harnessing the potential of machine learning for advancing "Quality by Design" in biomanufacturing.

mAbs
Ensuring consistent high yields and product quality are key challenges in biomanufacturing. Even minor deviations in critical process parameters (CPPs) such as media and feed compositions can significantly affect product critical quality attributes (...

Trial Approach for Biomedical Products: A Regulatory Perspective.

Combinatorial chemistry & high throughput screening
The modern pharmaceutical industry is transitioning from traditional methods to advanced technologies like artificial intelligence. In the current scenario, continuous efforts are being made to incorporate computational modeling and simulation in dru...

[Pharma industry reinvents itself in the turmoil. Part 1. Challenges].

Revue medicale de Liege
The pharmaceutical industry faces, as many other public and private sectors, a significant deficit in trust (medication considered too expensive, not always readily available, even if it is deemed essential, lack of financial transparency). Moreover,...

Digitizing the Pharma Neurons - A Technological Operation in Progress!

Reviews on recent clinical trials
BACKGROUND: Digitization and automation are the buzzwords in clinical research and pharma companies are investigating heavily here. Right from drug discovery to personalized medicine, digital patients and patient engagement, there is great considerat...