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ERJ Open Research|October 8, 2024
A new phenotype of patients with post-COVID-19 condition is characterised by a pattern of complex ventilatory dysfunction, neuromuscular disturbance and fatigue symptomsFridolin Steinbeis, Claudia Kedor, Hans-Jakob Meyer, et al.
Infection|May 18, 2024
Comparison of clinical outcomes in hospitalized patients with COVID-19 or non-COVID-19 community-acquired pneumonia in a prospective observational cohort studyHans-Jakob Meyer, Lukas Mödl, Olesya Unruh, et al.
Journal of Medical Virology|October 23, 2025
Rebound of Respiratory Virus Activity and Seasonality to Pre-Pandemic PatternsRainer Gosert, Klaudia Naegele, Marvin Weiss, et al.
Journal of Materials Chemistry. B|November 18, 2025
Matching drug and polymer for efficient delivery of anti-inflammatory drugs: PLGA, polyesteramides, and acetalated dextranLea C Klepsch, Philipp Dahlke, Mira Behnke, et al.
Respiratory Medicine|December 6, 2021
Severity of respiratory failure and computed chest tomography in acute COVID-19 correlates with pulmonary function and respiratory symptoms after infection with SARS-CoV-2: An observational longitudinal study over 12 monthsFridolin Steinbeis, Charlotte Thibeault, Felix Doellinger, et al.
Respiratory Medicine|September 9, 2022
Functional limitations 12 months after SARS-CoV-2 infection correlate with initial disease severity: An observational study of cardiopulmonary exercise capacity testing in COVID-19 convalescentsFridolin Steinbeis, Philipp Knape, Mirja Mittermaier, et al.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|January 10, 2025
Predicting the Risk of Intensive Care Unit Admission in Patients With COVID-19 Presenting in the Emergency Room: Development and Evaluation of the Confusion, Respiratory Rate, Oxygen Saturation With or Without Concurrent Supplemental Oxygen, and Oxygen Supplementation ScoreWeiwei Xiang, Fridolin Steinbeis, Kiret Dhindsa, et al.
Nature Chemistry|May 20, 2025
A framework for evaluating the chemical knowledge and reasoning abilities of large language models against the expertise of chemistsAdrian Mirza, Nawaf Alampara, Sreekanth Kunchapu, et al.
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