Career progression is rarely linear, and there is no single path to leadership. In our latest blog, Sinéad McKeon discusses what drove her move from the lab bench to project management. She reflects on the capabilities...
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Encouraging patient participation in real world studies
Real world data offers an alternative approach to observational research, particularly to inform decisions on patient needs and preferences.
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The impact of COVID-19 on pharmacovigilance
COVID-19 is affecting how clinical trials are managed, in terms of patient recruitment, patient care, data collection, analysis and safety reporting.
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Wearables and digital endpoint generation
The key considerations that arise when using digital technology to support endpoint generation in clinical studies.
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-(1).jpg?crop=yes&w=210&h=209&itok=HjeV-M48 "Medical internet of things")
Digital intelligence for the clinical trial: How the IoMT is streamlining clinical operations
Rapid progress in connectivity and technology is inspiring innovative clinical trial design.
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Top five digital technologies set to transform pharma R&D
The current wave of emerging digital technologies offers an opportunity to significantly disrupt pharma business operating models in a variety of ways.
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Can AI improve R&D productivity enough to restore ROI to sustainable levels?
According to an ICON survey, artificial intelligence (AI) was considered the digital technology with the most potential to improve R&D productivity.
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Adoptive Cellular Transfer (ACT): novel cancer trials demand that participating sites act differently
The evolution of adoptive cellular transfer (ACT) for the treatment of lymphoma, leukaemia and myeloma patients has grown exponentially.
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Alexa… What’s the deal with voice assistants?
As the buzz around voice technology increases, our digital team is asked more & more, “What’s the deal with voice assistants? Can we offer this to our clients?”
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The digitization of clinical drug development
ICON expert Dr. Uma Arumugam takes a look at the advancements in digital applications and technology impacting clinical drug development.
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Why you should consider using a learning management system
Centralising and tracking training requirements for your trials through a learning management system to make it easier for site and study staff.
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FDA acceptance of clinical data collected outside the U.S.
The US Food & Drug Administration (FDA) amended requirements for the acceptance of clinical data cllected outside the US to support medical device submissions.
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Making the move to virtual clinical trials late-phase research
Late phase research, once the exception, is becoming the rule. Some post marketing evidence needs can be met with virtual studies, DtP and cyber studies.
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mHealth devices allow for better treatments and clinical outcomes
Benefits include better, more personalised, treatment and improved clinical outcomes, with fewer clinic visits and greater independence for patients.
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The power of AI to transform clinical trials
Artificial intelligence (AI) technology, combined with big data, hold the potential to solve many key clinical trial challenges.
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Scaling Up CAR-T Therapies Requires Overcoming Manufacturing, Regulatory and Distribution Challenges
Scaling Up CAR-T Therapies Requires Overcoming Manufacturing, Regulatory and Distribution Challenges.
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Leveraging Voice-Assistant Technology in clinical trials
Voice Assistant technologies provide an opportunity to create a different level of engagement and interaction in comparison to regular apps and web pages.
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Not if, but when: five cybersecurity threats you can expect
Assess how well equipped you are to meet today’s cybersecurity needs.
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Addressing the inevitable: managing medical device cybersecurity risks
Cybersecurity threats are among the fastest growing risks for devices connected to private or public networks.
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Real-time monitoring of the digital patient
Direct to patient strategies and crafting patient centric trials are of increasing interest in drug development trials.
