Piotr J Chmura

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 4

Top Topics

Newly Diagnosed

Ejection Fraction

Top Venues

Nature medicine

NPJ digital medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Davide Placido, Bo Yuan, Jessica X Hjaltelin, Chunlei Zheng, Amalie Dahl Haue, Piotr J Chmura, Chen Yuan, Jihye Kim, Renato Umeton, Gregory Antell, Alexander Chowdhury, Alexandra Franz, Lauren Brais, Elizabeth Andrews, Debora S Marks, Aviv Regev, Siamack Ayandeh, Mary T Brophy, Nhan V Do, Peter Kraft, Brian M Wolpin, Michael H Rosenthal, Nathanael R Fillmore, Soren Brunak, Chris Sander
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. Nature medicine 29 (5) (2023)
Davide Placido, Bo Yuan, Jessica X Hjaltelin, Chunlei Zheng, Amalie Dahl Haue, Piotr J Chmura, Chen Yuan, Jihye Kim, Renato Umeton, Gregory Antell, Alexander Chowdhury, Alexandra Franz, Lauren Brais, Elizabeth Andrews, Debora S Marks, Aviv Regev, Siamack Ayandeh, Mary T Brophy, Nhan V Do, Peter Kraft, Brian M Wolpin, Michael H Rosenthal, Nathanael R Fillmore, Soren Brunak, Chris Sander
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. Nature medicine (2023)
Robert Moulder, Tommi Välikangas, M Karoliina Hirvonen, Tomi Suomi, Caroline A Brorsson, Niina Lietzén, Sylvaine F A Bruggraber, Lut Overbergh, Professor David Dunger, Mark Peakman, Piotr J Chmura, Soren Brunak, Anke M Schulte, Chantal Mathieu, Olli H Laitinen, Laura L Elo, Riitta Lahesmaa, null null
Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory. Diabetologia (2023)
Hans-Christian Thorsen-Meyer, Davide Placido, Benjamin Skov Kaas-Hansen, Anna P Nielsen, Theis Lange, Annelaura B Nielsen, Palle Toft, Jens Schierbeck, Thomas Strøm, Piotr J Chmura, Marc Heimann, Kirstine Belling, Anders Perner, Soren Brunak
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data. NPJ digital medicine 5 (1) (2022)