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Sorry.COVID treatment data may not be reliable

World of DTC Marketing

grossly misrepresented data about a therapy,” said Dr. Walid Gellad, who leads the Center for Pharmaceutical Policy and Prescribing at the University of Pittsburgh. That should tell you all you need to know about how bad things are with the FDA and trust in drug approvals. For the first time, I am now in fear of FDA drug approvals.

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Cancer: Progress but a long way to go

World of DTC Marketing

What treatment works in one patient may not work in another but we have to keep trying to beat cancer anyway we can. But it’s’ still the leading cause of cancer deaths. ” There is also the issue of medical debt of surviving cancer patients. In 2018 cancer patients in the U.S. sustaining life)?

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How clinical outcome assessments can help us understand the patient experience

Clarivate

Clinical outcome assessments can take years to generate but may pay big dividends in patient-focused drug development, centering the patient experience and potentially bolstering a product’s case with regulators and payers. clinical experts), and converting regulatory guidance into practical application.

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Why Is FDA Issuing Fewer Marketing Violation Letters?

Pharma Marketing Network

The Food and Drug Administration (FDA) plays a critical role in regulating the pharmaceutical industry and ensuring that medications and medical devices marketed to the public are safe, effective, and appropriately labeled. The post Why Is FDA Issuing Fewer Marketing Violation Letters?

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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). Tuijin Jishu / Propuls. 2023; 44(3):1384-1392. cited 2023Dec]. Machine Learning in Medicine.

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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. Lack of proper training can lead to errors, omissions, or intentional data manipulation, which can compromise data. What is an effective solution?

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How do Healthcare AI Developers (and Buyers) Stay Ahead of the Regulatory Curve?

Nixon Gwilt Law

Appropriate: Guarantees that DSIs are suitable for the contexts and populations in which they are used, adhering to relevant clinical and ethical standards. Effective: Ensures that DSIs achieve their intended outcomes, improving clinical decision-making and patient care.