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Showing posts from May, 2022

Introduction to Clinical Data Management

  A clinical trial is the means of determining whether a vaccine, drug, or operation is effective. Clinical Trials, to put it another way, are a sort of studies to investigate new tests and treatments and assesses their effect on human health outcomes. A vast amount of information is created throughout these lengthy and effectively planned clinical trials, which must be maintained. Clinical Data Management comes into action in this situation. Because there is such a strong need for professionally qualified individuals in the field of clinical research, it is critical for ambitious candidates to undergo clinical research training . CDM and Process: The process carried out by collecting, analyzing, and handling the information recorded during clinical trials is known as clinical data management. The primary goal of CDM is to gather as much data as feasible while maintaining a high level of data quality by eliminating errors and inconsistencies. Process: 1     Designing and crea

Applications of AI in Pharmacovigilance

The significance of medicine and technology in our lives is something that the Covid 19 outbreak has taught us. In fact, the vaccinations for the same were created in the shortest time in human history. This massive undertaking was made possible by advances in medicine and information technology. The two most demanded fields, pharmacovigilance and artificial intelligence, can be combined to progress the field of medicine. AI research is defined in computer science as the concept and development of computer systems capable of doing activities that would ordinarily require human intelligence, such as visual perception, speech recognition, decision-making, and text analysis. Artificial intelligence (AI) technologies have the potential to improve medicine safety evaluations due to large amounts of electronic data. In clinical research, data analysis, which use natural language processing (NLP) technologies and text mining to extract relevant data from a variety of unstructured sources,