European Pharmaceutical Review

JANUARY 9, 2024

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. cited 2023Dec].

Pharmaceutical manufacturing 122

Pharmaceutical manufacturing Manufacturing Pharmaceutical Food and Drug Administration 122

European Pharmaceutical Review

MARCH 12, 2024

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.

Government 87

Government Pharma Ethics Training 87

Nixon Gwilt Law

APRIL 22, 2024

The rule applies to developers of Certified Electronic Health Record Technology (CEHRT), particularly those who incorporate predictive decision support interventions (DSIs) into their products. It is essential to delineate clear responsibility for outcomes suggested by AI tools in both the administrative and clinical context.

Healthcare 52

Healthcare Healthcare Training Food and Drug Administration 52

Cadensee

JULY 20, 2021

So, it's important for moral reasons, for ethical reasons, but it's really, really, really empowered by digital. It might be silly question but bringing a drug to market takes many, many years. So, do you listen to them at the point when a pharma company decides what drug it needs to make? It's not an electronic patient.

Food and Drug Administration 52

Food and Drug Administration Doctors Healthcare Healthcare 52