Personalized Acute Medicine

D ö mling belongs to top 2% of most influential researchers worldwide (Stanford-Elsevier https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/3 ). Multicomponent reaction chemistry, drug design & early development, structure-based drug design, fragment based drug design, computational drug design, proteases, protein protein interactions, receptors, missmutation, orphan disease, inflammation, cancer, metabolic disease

I am pulmonologist at the University Medical Center Groningen, The Netherlands. I am one of the medical doctors of the Home Mechanical Ventilation Center Groningen, part of the department of pulmonary diseases of this hospital. Next to clinical work, I educate medical students from the University Groningen and have a strong connection with the University Twente, one of the main technical universities, both for educational activities and research. My main research interests involves severe COPD, respiratory failure, and (home) mechanical ventilation. I have special interest in remote monitoring and care to facilitate complex care at home. A second field of interest concerns nasal high flow therapy, in current COVID-19 times but also in the treatment of stable and post-exacerbation COPD. Furthermore, I have special interest in optimal but non-invasive and robust monitoring during long-term non-invasive ventilation and the application of more detailed monitoring facilities such as respiratory EMG, patient-ventilator asynchrony and lung mechanics during long-term non-invasive ventilation. My final goal is to achieve a better quality of life for patients with respiratory failure. To this end, we will need further studies on more and better treatment options investigating underlying mechanisms on severe COPD and how treatment affects these.

I am an interventional cardiologist and scientist. My clinical work includes the percutaneous treatment of obstructive coronary artery disease, including acute myocardial infarction.

My translational research focusses on the analysis of big and complex data (e.g. genetic, ehr, imaging), including the use of machine learning and cloud computing, to improve our understanding and the early detection of coronary artery disease and heart failure. To this end we use large population based cohorts, including the Dutch PREVEND and LifeLine cohorts and the UK Biobank. Data on my "omics" research can be found our my website: www.cardiomics.net

In my clinical translational research I am also working on advanced image analysis, device interventions, machine learning, deep learning, and e/mHealth to further improve and personalize care for our patients. Currently ongoing diagnostic imaging studies in include the REPLACE-IT (replacement of invasive coronary angiography) and the EARLY-SYNERGY (early detection of obstructive coronary artery disease; www.early-synergy.nl) studies. Currently interventional studies include the GIPS-IV, AXES and MRI-MC studies.

Many of my projects based on collaborations with the most influential and creative individuals and research groups in the world.