Rishi Kamaleswaran

My research focuses on the application of artificial intelligence, machine learning, and data analytics in healthcare, particularly in critical care and perioperative medicine; and cystic fibrosis. I have published numerous papers on the development of predictive models for sepsis, acute respiratory distress syndrome, and other critical conditions. My work utilizes large datasets, electronic health records, and physiological waveform analysis to improve patient outcomes. I have also explored the use of deep learning techniques for disease diagnosis and prediction, including the detection of cardiac arrhythmias and Parkinson's disease. Additionally, my research has investigated the potential of wearable sensors and remote patient monitoring to enhance healthcare delivery. Through collaborations with clinicians and researchers, I have validated and translated my models into clinical practice. Overall, my goal is to leverage data-driven approaches to transform healthcare and improve patient care.