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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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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 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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The Use of Artificial Intelligence in the Pharmaceutical Industry

Viseven

This article will cover the most important areas of AI influence on the pharma industry and new drugs development. From life-saving drugs discovery, development, and production to clinical trials, communication, and drug target identification — AI pharmaceutical is a definite game-changer. Clinical Trials.

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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.