معرفی
Thomas Åkesson Lindow is an affiliated researcher and postdoc at Lund University, specializing in Respiratory Medicine, Allergology, and Palliative Medicine. His work focuses on breathlessness, chronic respiratory failure, and the application of machine learning in cardiac diagnostics. He has contributed to 47 research outputs and is involved in two active projects funded by the Swedish Society of Medicine.
Research interests include exercise physiology, cardiovascular disease prognosis, and AI-driven healthcare solutions. His recent work explores systolic blood pressure patterns during exercise, electrocardiography-based heart age estimation, and the predictive value of exertional breathlessness on mortality. He collaborates internationally and has published in journals like JAMA Network Open and European Heart Journal - Digital Health.
As an assistant supervisor in two ongoing projects, he guides research on primary care heart health and blood pressure improvement strategies. No scientific awards are explicitly mentioned, but his work aligns with UN Sustainable Development Goals related to health and well-being.
