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Future-Proofing The Pharma Supply Chain – Top Ten Trends

The pharma sector happens to be consistently evolving, and one of the most critical components of transformation is within the supply chain. The significance of a well-operational supply chain has never been more relevant than in the current years....

Mixed Reactions From Scientists As AI Emerges Pharma Sector

Artificial Intelligence remains a hot topic in the pharma spectrum, and the current ChatGPT wave has begun many more conversations. As of now, there happens to be a bifurcation of attitudes, with some researchers pretty much excited when it...

The Rising Value of Machine Learning In Pharmaceuticals

Machine learning, when it comes to the pharma sector, had a value of almost $1.2 billion in 2021, and it is anticipated to touch $26.2 billion in another 10 years, with a CAGR of 37.9% right from 2022 to...

Overcoming Counterfeit Challenges With Blockchain In Pharma

Researchers from Sweden have identified the advantages of employing smart contracts on blockchain platforms within the pharmaceutical supply chain to combat counterfeit drugs. Despite the estimated value of the counterfeit market exceeding $200 billion and the numerous benefits it...

Digital Maturity – Evolving Pharmaceutical Supply Chains

Global pharmaceutical companies have faced significant scrutiny for various issues, such as inconsistent drug availability, a lack of transparency in environmental, social, and governance practices, and a surge in counterfeit medications. This increased scrutiny indicates that the traditional manufacturing...

Blockchain Technology And Quality Control In Pharma Industry

In late 2020, Pfizer, a drug manufacturer, faced challenges in meeting its Covid-19 vaccine production targets due to quality issues with raw materials, causing disruptions in the global supply chain. The situation worsened in March 2021 when contamination issues...

FDA Discussion Paper On AI And ML Aiming Drug Development

A discussion paper has been published by the US FDA that aims at complementing and informing future guidance on artificial intelligence (AI) and machine learning (ML) usage in drug development. The purpose of this paper is to initiate an...

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