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Conference Track on “Machine Learning for Rare Disease Applications: from Limited Data to in Silico Trials”
Our lab is organizing this conference track at the 2024 Applied Machine Learning Days platform, AMLDEPFL2024 and AMLD2024
BMC Article on Studying Missingness in SCI Data: Challenges and Impact of Data Imputation
In the age of big data, while advanced mathematical and statistical models show promises in understanding patient recovery, fields studying rare conditions like spinal cord injury (SCI) and rehabilitation face challenges due to small sample sizes and missing data, hindering comprehensive analysis.
Science Article on Immune Markers of Long Covid
Our paediatric oncology applications lead, Sarah Brüningk, and our Ph.D. candidate, Bowen Fan, contributed data science analytics to support the identification of biomarkers of Long Covid. The relevant study, led by Dr. Carlo Cervia-Hasler, and Prof. Dr. Onur Boyman at University of Zurich, has been published in Science Magazine.
Ongoing Clinical Trials in Spinal Cord Injury (SCI)
Interested in ongoing clinical trials in SCI? Check out our SCI Trials Finder website or find us on X/Twitter @SCITrialsFinder.
Foundation of the Biomedical Data Science (BMDS) lab at ETH
We are thrilled to announce the launch of our lab's new LinkedIn page! Stay connected with us for engaging posts and exciting announcements.