Pharmacovigilance is the research and practices associated with the identification, evaluation, comprehension, and avoidance of side effects and other medication-related issues. As it assists in tracking adverse effects (AE), adverse drug reactions (ADR), and any other safety problems missed during clinical trials, it is a crucial part of the post-marketing monitoring program for pharmaceuticals and medical devices. Pharmacovigilance efforts provide vital safety data that helps identify any new and previously unknown dangers as well as information regarding the advantages and disadvantages of ..read more

Clinical trial efficiency may be enhanced by artificial intelligence (AI) enabled systems that enhance patient and location acquisition. Three Strategies Artificial Intelligence Can Enhance Clinical Research Advancements. AI can increase clinical trial diversity.  The population’s lack of access to basic medical treatment is alarming. The patient population encounters noteworthy obstacles when it comes to engaging in clinical trials, primarily transportation, time, and financial constraints to trial locations. Clinical trials can also result in a partial or skewed understanding of the saf ..read more

New technology and systems support every aspect of the drug development process, which is changing exponentially.  Before biological products are submitted for market clearance, pharmacovigilance (PV) is one of the most important steps in the medication development cycle. It makes sure that the products fit the intended safety profile.  One of the innovative and promising developments aimed at enhancing the PV process as a whole is cloud-based solutions. Before being approved for commercial use, all biopharmaceuticals go through extensive clinical trial testing to ensure their safe ..read more

The pharmaceutical sector is currently well on its way to reaching complete automation.  Companies within the life science industry are using machine learning, natural language processing, artificial intelligence, and rules to automate their research and development operations.  To meet pharmacovigilance requirements, enterprises need to identify the best automation approach and degree of automation for effective R&D initiatives. When implementing an automation timeline, organizations should consider the time and resources needed to develop and maintain the system and the antici ..read more

Clinical SAS is the term used to describe the use of SAS software in clinical research and medical settings. SAS is a potent software suite that is extensively utilized in many different industries, including healthcare and pharmaceuticals, for statistical analysis, data management, and reporting. When managing clinical trial data in the context of clinical trials, a few modules and components of clinical SAS are essential. In pharmaceutical and healthcare industries and the life science industry, SAS programmers develop and oversee software that doctors, nurses, and other medical professional ..read more

Revolutionizing ICSR Processing and the Human Role in the Rise of AI in Pharmacovigilance Pharmacovigilance is only one of the areas where artificial intelligence (AI) has advanced significantly.  AI has the potential to completely change how we handle and evaluate drug safety data, especially as the number of Individual Case Safety Reports (ICSRs) keeps increasing at an exponential rate.  Although AI is expected to transform the processing of ICSRs shortly, human intervention is still necessary to ensure a responsible and thorough strategy for pharmacovigilance. The computation of ..read more

Professional growth is more important than ever in the clinical trial sector. Study volume and complexity are rising, and turnover and burnout are widespread. There were 10% more active clinical trials in 2022 than there were in 2021.  Clinical Research Associates routinely has turnover rates between 24 and 29%, although many research locations have observed increases as high as 50%. Experienced employees are constantly being drawn to work with contract research organizations (CROs) and sponsors due to employee turnover.  This indicates that there is not enough staff at the sites to ..read more

  Pharmacovigilance physicians are supposed to use their knowledge to assess safety information and spot possible dangers related to pharmaceuticals.   Actively monitoring and evaluating safety data from multiple sources is part of their task outline. They also evaluate adverse event frequency, severity, cause, and clinical relevance. It is also essential for them to provide regulatory agencies with timely reports, which is another crucial aspect of their position. Additionally, they assist in the development and implementation of risk management strategies for pharmaceutical product ..read more

Pharmacists can operate independently in a variety of capacities and hold a wide range of positions in clinical research. In the fields of clinical trial administration, medical writing, pharmacovigilance, research and development, and medico-marketing, pharmacists employ a variety of talents and are crucial contributors. Clinical Investigator Pharmacist To address health difficulties and guarantee appropriate medication or treatments, pharmacists are on the front lines of care. When working in tandem or collaborating with physicians and the public, pharmacists are tasked with ensuring safe p ..read more

Generative AI can now use technology to write code, create art, write coherent paragraphs, and even help scientists with clinical research. What is generative AI, though, and how has it developed? What part can it play in clinical research? Let’s investigate more! How does generative AI work? An autonomous form of artificial intelligence referred to as “generative AI” can translate text into images and write texts by itself.  By learning from existing data and using that knowledge to create fresh, innovative content out of that data, generative AI has the potential to be applied to a ran ..read more