Detail

Keywords

Automatic Data Processing; Machine Learning; Pattern Recognition, Automated; Programming Languages

Research group(s)

• Computational pathology
  Head: Renate Kain
  Research Area: Analysis of tissue whole-slide images (WSIs) and correlation with patient data.
  Members:
  Christopher Kaltenecker

Research interests

• application development
• electronic health record data mining
• AI training for disease recogniton and prognostication
• building an European data repository https://bigpicture.eu/our-team/participants

Techniques, methods & infrastructure

• common machine learning frameworks
• high-performance compute environment
• databases, application programming interfaces, structured data standards, data ontologies

Grants

• Robuste und Akkurate Multi-Tumor, Multi-Spezies, Multi-Labor und Multi-Scanner Mitoseerkennung mittels großer Datensätze und Künstlicher Intelligenz (mu RoMi) (2024)
  Source of Funding: FWF (Austrian Science Fund), Einzelprojekte International
  Coordinator of the collaborative project

Selected publications

1. Kaltenecker, C.C. et al., 2020. Critical Role of Neprilysin in Kidney Angiotensin Metabolism. Circulation Research. Available at: http://dx.doi.org/10.1161/CIRCRESAHA.119.316151.
2. Kovarik, J.J. et al., 2017. Effects of angiotensin-converting-enzyme inhibitor therapy on the regulation of the plasma and cardiac tissue renin-angiotensin system in heart transplant patients. The Journal of Heart and Lung Transplantation, 36(3), pp.355-365. Available at: http://dx.doi.org/10.1016/j.healun.2016.08.022.
3. Kovarik, J.J. et al., 2014. Molecular regulation of the renin-angiotensin system in haemodialysis patients. Nephrology Dialysis Transplantation, 30(1), pp.115-123. Available at: http://dx.doi.org/10.1093/ndt/gfu265.
4. Kopecky, C. et al., 2014. Restoration of Renal Function Does Not Correct Impairment of Uremic HDL Properties. Journal of the American Society of Nephrology, 26(3), pp.565-575. Available at: http://dx.doi.org/10.1681/ASN.2013111219.
5. Katholnig, K. et al., 2013. p38alpha Senses Environmental Stress To Control Innate Immune Responses via Mechanistic Target of Rapamycin. The Journal of Immunology, 190(4), pp.1519-1527. Available at: http://dx.doi.org/10.4049/jimmunol.1202683.