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How data is changing the pharma operations world

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Pharma companies have a great opportunity to turn a buzzword into exponential impact. Aircraft today can be fully developed in a digital environment. They are designed using CAD software and tested in a virtual flight simulator, before any physical work happens. Imagine the same in pharma: a COO can model various product portfolios, swap out machines, or model utilization and schedules to optimize agility and cost--all using software and delivering quantifiable answers in seconds. The technology exists today--including predictive analytics, robotic process automation, and AI-based tools, all digitally connected via the Internet of Things (IoT)--but no pharma company has fully leveraged it. Some companies apply point solutions and individual tools, but most get stuck in the pilot phase and struggle to scale up digital across the enterprise.


Bringing Six Sigma to Preclinical Pharma R&D

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BioPharm: What made you develop the Process Data System and start the company? Gardner: Riffyn was born out of an industrial biotech environment, and knowledge gained from the large-scale process development and manufacturing of chemicals produced by genetically engineered species. I had spent years in industrial microbiology and biotech, as vice-president of R&D for a company called Amyris, which focused on large-scale bio-manufacturing of renewable chemicals. We edited and genetically engineered yeast to make products that ranged from detergents to makeup oil. In industrial biotech, speed to market and low costs of production are key to success.


Trade Pharma Network - The New Pharma-Centric Marketplace

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Hello everyone, this is another great moment to write about a project that is full of life transforming benefits, it is Trade Pharma Network. This project has a promising future, therefore, I want everyone to seat back and read this article so as to have better understanding about the project. Trade Pharma Network is a licensed broker platform from the European Union and an international-centric choice market for buyers and sellers who engage in routine drug transactions. Our Artificial Intelligence (AI) platform employs powerful AI algorithms to enable efficient searching and digital matchmaking between our key stakeholders, but also Blockchain, we envision a future where every physical medicine has a digital history, allowing our users to track and verify its origin. Pharma Netwok also aims to fight efficiently against counterfeit drugs, in Europe end Worldwide.


AI is transforming the pharmaceutical industry

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The astonishing speed of digital disruption today calls for new and emerging technologies that are capable of long-term value creation. Poised at this intersection of digital revolution, business and accelerated scientific discovery, leaders across verticals have formulated a vision to begin their transformative journey. Though laggards at the beginning, the pharmaceutical industry has eventually started taking advantage of new-age technologies in areas from clinical trials to manufacturing. AI is already known to be speeding and improving the drug discovery process, owing to its capability of sifting through and making sense of heaps of scientific data related to research and development. It has also started making inroads into newer and more diverse areas like drug manufacturing and supply chains, which are the least explored in the Life Sciences space, yet have the capability to offer maximum benefits.


[Infographic] Pharma Industry Tech Trends for 2022

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By 2023, the pharmaceutical industry is projected to increase up to $1.5 trillion dollars. Throughout the past years, there has been huge growth within the Pharma industry that will continue into 2022. Artificial Intelligence (AI) is becoming a universal term in many industries today. AI uses learned machine intelligence to perform tasks and make predictions. AI within the pharma industry has many purposes that can accelerate the discovery and development of new drugs.