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Drug Discovery with Gen AI for faster, Safer Pharmaceuticals

RandomTrees

A ground-breaking technology called Generative Artificial Intelligence (Gen AI) is revolutionizing the pharmaceutical sector. The article looks at how Gen AI transforms the drug discovery process as well as its applications, benefits, challenges, and what future it hopes to see in pharmaceutical innovation. This will include: 1.

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Data Science in Pharmaceutical Industry [Use Cases + Examples]

Knowledge Hut

The pharmaceutical industry is one of the most innovative and competitive industries in the world. The pharmaceutical industry according to report has made a jump from $40 billion in 2021 to an expected $130 billion in 2030, with projections hitting $450 billion by 2047. which help improve decision-making processes.

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12 Major Ethical Issues in Information Technology

Edureka

Table of Contents: What is an ethical issue in information technology? Conclusion FAQs What is an ethical issue in information technology? Ethical issues in information technology represent an area of concern that addresses questions and concerns regarding the moral use or application of IT.

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Cloudera at BioData World Congress 2020 – Use Cases at Top 5 Pharmaceutical Organizations

Cloudera

Rapidly-changing technologies, and increased clinical study complexities, together with escalating regulatory scrutiny are driving higher development costs, and prolonging treatment delivery. The post Cloudera at BioData World Congress 2020 – Use Cases at Top 5 Pharmaceutical Organizations appeared first on Cloudera Blog.

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Preserving Data Privacy in Life Sciences: How Snowflake Data Clean Rooms Make It Happen

Snowflake

The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Patient-generated health data offers a new avenue through which pharmaceutical companies can derive additional insights into disease and treatment patterns.

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Turning petabytes of pharmaceutical data into actionable insights

Cloudera

That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Ensure content can be reused within the data hub to support pharmaceutical use cases. Imagine storing the DNA of the entire population of the US – and then cloning them, twice.

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Accelerating Drug Discovery and Development with DataOps

DataKitchen

Pharmaceutical companies are finding that DataOps delivers these benefits. DataOps automation provides a way to boost innovation and improve collaboration related to data in pharmaceutical research and development (R&D). Figure 1: A pharmaceutical company tests 50,000 compounds just to find one that reaches the market.