Aminah Abolore Sulayman, PhD in Chemical Engineering, has developed her work as a postdoctoral fellow at the Valdecilla Health Research Institute (IDIVAL), within the Science by Women programme of the Women for Africa Foundation. During her stay, the researcher has worked on an innovative project on the application of machine learning models for the real-time prediction of intradialytic hypotension in patients undergoing haemodialysis.
Under the guidance of Dr Emilio Rodrigo Calabia, nephrologist at the Marqués de Valdecilla University Hospital and associate professor at the University of Cantabria, Sulayman has explored advanced neural network architectures, such as recurrent neural networks and deep learning models. Using simulation tools such as MATLAB and Python, his research focused on capturing the temporal dynamics of haemodialysis data to develop a robust, real-time predictive model.
The ultimate goal of this work is to provide clinicians with advanced tools to anticipate hypotension episodes during treatment, improving patient safety and procedural efficiency. Managing the noise and variability inherent in real-world clinical data was a major challenge of the study, which required close collaboration between nephrology and data science experts.
Beyond the technological advances, Dr Sulayman’s time at IDIVAL has been a transformative experience in her career. ‘The exposure to cutting-edge medical research and the application of artificial intelligence in healthcare has reinforced my passion for data-driven innovations in medicine,’ she says.
This project reaffirms IDIVAL’s commitment to translational research and the incorporation of new technologies to improve healthcare, consolidating its position as a benchmark in the application of artificial intelligence in medicine.
