Artificial intelligence is already present in all areas of our lives, both personal and professional. Its development and application in the field of healthcare and life sciences is not only immensely promising but has also become an urgent necessity to ensure the sector remains at the forefront of innovation and efficiency. The promise it holds for revolutionizing diagnosis, epidemiology, disease prediction and progression, and the reduction of administrative tasks, along with the resulting improvements in health outcomes and cost reductions, has sparked unprecedented interest across the sector. However, there is still more ignorance than experience. Many healthcare professionals are aware of some AI applications but lack a comprehensive understanding of the possibilities, realities, and challenges of this area of innovation, and many have had no direct experience applying these tools to their work.
Artificial intelligence is already present in all areas of our lives, both personal and professional. Its development and application in the field of healthcare and life sciences is not only immensely promising but has also become an urgent necessity to ensure that the sector remains at the forefront of innovation and efficiency. The promise it holds for revolutionizing diagnosis, epidemiology, disease prediction and progression, and the reduction of administrative tasks, along with improvements in health outcomes and cost reduction, has sparked an almost unprecedented level of interest across the sector.
However, there is still more ignorance than experience. Many healthcare professionals are aware of some AI applications, but they do not have a complete picture of the possibilities, realities, and challenges of this area of innovation, and many have not had direct experience applying these tools to their work.
For this reason, at Bayer we are collaborating with the University of Castilla-La Mancha to facilitate access to training on the potential of AI in healthcare, support research through the application of AI tools for data analysis, and promote the dissemination of the results of these studies. We are convinced that public-private collaboration between universities and the pharmaceutical industry helps translate research and knowledge into clinical practice, going far beyond pharmacological treatment to improve detection, diagnosis, patient experience, and ultimately, health outcomes. If you have untapped data, ideas to explore, or simply curiosity about the possibilities, welcome to the Bayer-UCLM Chair in Artificial Intelligence.
