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Transforming pharmaceutical manufacturing: The AI revolution

European Pharmaceutical Review

Accelerated drug discovery: Simulations and predictive models powered by AI will speed up the drug development process, effectively slashing time to market for drugs. Internet] US Food and Drug Administration (FDA). Artificial Intelligence and Machine Learning in Software as a Medical Device.

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Data integrity considerations in Pharma and Life Sciences

European Pharmaceutical Review

In the pharmaceutical/life sciences industries, maintaining data integrity is crucial given its role in making critical decisions that shape outcomes from drug development to human health. This can be achieved by implementing electronic systems with built-in controls to maintain data integrity, audit trails and access controls.

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RFID: The future of smart labelling?

Pharmaceutical Technology

In recent times, suppliers have also chosen other systems that rely on blockchain and sensors to track drug supply and reduce the influx of counterfeit drugs. Solutions were also much more complex to implement [then], whereas today there are a lot of companies in the market offering multiple solutions.”

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Uri Goren

Cadensee

21:40 At what scale is breaking away from traditional channel to market is happening on a wide scale in the industry? 52:21 Uri's opinion about the main problem that needs to be solved for the healthcare market with technology. It might be silly question but bringing a drug to market takes many, many years.