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In the ever-evolving realm of pharmaceutical research and development (R&D), the powerful wave of digitalization is restructuring conventional methodologies and paving the way for a novel era of ingenuity and streamlined processes. Termed digital transformation, this profound shift entails the strategic infusion of cutting-edge information technologies into established drug discovery and development procedures. Leading this revolution are technologies like big data analytics, artificial intelligence (AI), blockchain, and telemedicine. Digital transformation signifies a potential revolution in

Nanomaterials have been one of the most exciting scientific and technical innovations of the past few decades. Due to their very high surface to volume ratios, they exhibit properties that can differ dramatically from those for the same material in bulk. This, and their ability to be designed and synthesized with multiple surface functionalities, has seen them used for a myriad of bespoke applications in industry and medicine.

Their medical applications span delivery systems for drugs, proteins and DNA/RNA to diagnostics, targeted cancer treatments, to theranostics. They have been used ver

Pharmaceutical companies are faced with the challenge of effectively managing and analyzing large volumes of data, which come in various formats, in order to extract meaningful and actionable insights. This is crucial for efficient drug development that balances cost and effectiveness. The use of cutting-edge technologies can help uncover the mechanisms of diseases, optimize clinical trials, and improve production efficiency and accuracy. By utilizing data analytics and automation, pharmaceutical companies can optimize their manufacturing processes and ensure timely and reliable delivery of d

Clinical trials are an essential part of the development of new medical treatments and procedures, and they help to ensure that new interventions are safe and effective for patients above all. Because of that, it is really important that all steps in that process were done with special attention to patient safety above all, but also to the accuracy of data that is often still collected manually, which slows down the entire process, and sometimes even compromises it, which result with the fact that clinical trials are exposed to frequent audits precisely for this reason.

Although clinical t

Clinical research technology platforms have also emerged, providing participant-facing apps and websites where you can build in or interface with some or all the previously mentioned solutions, as well as expanding to other research-related activities such as virtual training, electronic informed consent form (eICF), participant recruitment, engagement, visit reminders and concierges, etc. Implementing these platforms, the individual participant is given an even more active role in their own research journey, as they are responsible to enter their own subjective data directly into the designa

To bring this into reality, pharmaceutical PV organisations need to move into a “digitalised future” where technology plays a key role in PV processes. This includes automating and streamlining the information streams to reduce complexity, from case processing to reporting. Once automated, companies need to begin to look to artificial intelligence to add further value from their data.

By applying artificial intelligence (AI) and data science approaches, organisations can turn the overabundance of data from being a challenge to solve, into an opportunity. A well-designed, automated, AI-powe

Artificial Intelligence (AI) and machine learning-based technologies have the potential to transform healthcare because they offer new and important insights derived from the vast amount of data generated during the delivery of healthcare every day. The capacity of AI to learn from real-world feedback and improve its performance makes this technology uniquely suited as Software as a Medical Device (SaMD) and is responsible for it being a rapidly expanding area of research and development. Clinical pharmacy practice may undergo major change due to the implementation of this technology. The cha