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How using AI in clinical trials accelerates drug development

Pharmaceutical Technology

Drug development is already a difficult endeavor, with the vast majority of R&D efforts failing to produce a market-worthy product. Even reaching the clinical trial phase offers no guarantees, as only 12% of such drugs receive U.S. While this process is essential, it’s also slow, expensive and unpredictable.

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How blockchain can revolutionise medical records and save lives

pharmaphorum

If appropriately implemented, blockchain-based medical records systems of tomorrow could be far more accurate, secure and accessible than the one-size-fits-all approach applied to today’s electronic health records, all while putting additional power back in the hands of the patients. The state of medical records today.

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Connecting with Patients at Home

Pharmacy Is Right For Me

There are so many different types of careers within the field of pharmacy—from research and drug development to pharmacy informatics! Another unique aspect of this model is that all interprofessional team members can access and document within a universal electronic medical record (EPIC).

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How to Successfully Employ External Comparator Arm Studies Using Real World Data

pharmaphorum

Therefore, to help contextualise study findings, external comparator arms (ECAs) can be employed, which compile data from external sources, such as patient registries and other medical records. In the general case, RCTs are the optimal approach to clinical research and drug development. Discussion.

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Long-Awaited Guidance on FDAMA 115: Confirmatory Evidence Finally Has Its Moment (to be Crossed Off the FDA’s Guidance To-Do List)

FDA Law Blog: Biosimilars

Two weeks ago, FDA published a draft of its latest drug development guidance explaining how drug and biological product developers can use this pathway to meet the statutory standard for efficacy. the Confirmatory Evidence Guidance, available here ) had appeared on CDER’s Guidance Agenda for the past three years.

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How AI, automation, and machine learning are upgrading clinical trials

Pharmaceutical Technology

Artificial intelligence (AI) is set to be the most disruptive emerging technology in drug development in 2023, unlocking advanced analytics, enabling automation, and increasing speed across the clinical trial value chain. AI can also alert medical staff and patients to clinical trial opportunities.