Using Clinical Data and AI to reshape COPD – fractional dynamics deep learning models

Chronic Obstructive Pulmonary Disease (COPD) is a progressive inflammatory lung disease that causes obstructed airflow and breathing difficulties. COPD is a major global health burden, yet diagnosis can be challenging. Spirometry is the standard diagnostic test but has limitations in accessibility and accuracy. There is a need for an accurate, non-invasive approach to detect COPD […]

Read More…

Clinomic receives funding from German Federal Ministry of Education and Research

Clinomic receives funding from German Federal Ministry of Education and Research

The Clinomic GmbH recently received a funding by the Federal Ministry of Research and Education for their product “MedicBI” under the “KMU-innovativ” funding measure. The Federal Ministry of Education and Research supports SMEs in projects in the run-up to industrial research and experimental development projects – in order to strengthen their innovative capacity in the […]

Read More…

Machine Learning in Future Intensive Care: Classification of Stochastic Petri Nets via Continuous-time Markov Chains

Machine Learning in Future Intensive Care

The fast growing digitalization of medicine has facilitated the collection of patient data in databases. A smart city must facilitate such databases in its hospitals. However, handling this big data requires new strategies for filtering and processing such high volumes of patient data. In this regard, Machine Learning (ML) algorithms are increasingly applied to support […]

Read More…