Machine Learning with Physics Knowledge for Prediction: A Survey

Autor: Watson, Joe, Song, Chen, Weeger, Oliver, Gruner, Theo, Le, An T., Hansel, Kay, Hendawy, Ahmed, Arenz, Oleg, Trojak, Will, Cranmer, Miles, D'Eramo, Carlo, Bülow, Fabian, Goyal, Tanmay, Peters, Jan, Hoffman, Martin W.

This survey examines the broad suite of methods and models for combining machine learning with physics knowledge for prediction and forecast, with a focus on partial differential equations. These methods have attracted significant interest due to the

Externí odkaz: http://arxiv.org/abs/2408.09840

DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features

Autor: Belov, Vladimir, Erwin-Grabner, Tracy, Zeng, Ling-Li, Ching, Christopher R. K., Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Brosch, Katharina, Bülow, Robin, Colle, Romain, Connolly, Colm G., Corruble, Emmanuelle, Couvy-Duchesne, Baptiste, Cullen, Kathryn, Dannlowski, Udo, Davey, Christopher G., Dols, Annemiek, Ernsting, Jan, Evans, Jennifer W., Fisch, Lukas, Fuentes-Claramonte, Paola, Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke A., Grotegerd, Dominik, Hahn, Tim, Hamilton, J. Paul, Han, Laura K. M., Harrison, Ben J, Ho, Tiffany C., Jahanshad, Neda, Jamieson, Alec J., Karuk, Andriana, Kircher, Tilo, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Leenings, Ramona, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Meinert, Susanne, Melloni, Elisa, Mueller, Bryon A., Mwangi, Benson, Nenadić, Igor, Ojha, Amar, Okamoto, Yasumasa, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Radua, Joaquim, Rodríguez-Cano, Elena, Sacchet, Matthew D., Salvador, Raymond, Schrantee, Anouk, Sim, Kang, Soares, Jair C., Solanes, Aleix, Stein, Dan J., Stein, Frederike, Stolicyn, Aleks, Thomopoulos, Sophia I., Toenders, Yara J., Uyar-Demir, Aslihan, Vieta, Eduard, Vives-Gilabert, Yolanda, Völzke, Henry, Walter, Martin, Whalley, Heather C., Whittle, Sarah, Winter, Nils, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due t

Externí odkaz: http://arxiv.org/abs/2311.11046

Genetic risk factors underlying white matter hyperintensities and cortical atrophy

Autor: Yash Patel, Jean Shin, Eeva Sliz, Ariana Tang, Aniket Mishra, Rui Xia, Edith Hofer, Hema Sekhar Reddy Rajula, Ruiqi Wang, Frauke Beyer, Katrin Horn, Max Riedl, Jing Yu, Henry Völzke, Robin Bülow, Uwe Völker, Stefan Frenzel, Katharina Wittfeld, Sandra Van der Auwera, Thomas H. Mosley, Vincent Bouteloup, Jean-Charles Lambert, Geneviève Chêne, Carole Dufouil, Christophe Tzourio, Jean-François Mangin, Rebecca F. Gottesman, Myriam Fornage, Reinhold Schmidt, Qiong Yang, Veronica Witte, Markus Scholz, Markus Loeffler, Gennady V. Roshchupkin, M. Arfan Ikram, Hans J. Grabe, Sudha Seshadri, Stephanie Debette, Tomas Paus, Zdenka Pausova

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)

Abstract White matter hyperintensities index structural abnormalities in the cerebral white matter, including axonal damage. The latter may promote atrophy of the cerebral cortex, a key feature of dementia. Here, we report a study of 51,065 individua

Externí odkaz: https://doaj.org/article/bf9509bdebd5484ea27088d73ad6ccb8

Taming hemoglobin chemistry—a new hemoglobin-based oxygen carrier engineered with both decreased rates of nitric oxide scavenging and lipid oxidation

Autor: Chris E. Cooper, Michelle Simons, Alex Dyson, Nélida Leiva Eriksson, Gary G. A. Silkstone, Natalie Syrett, Victoria Allen-Baume, Leif Bülow, Luca Ronda, Andrea Mozzarelli, Mervyn Singer, Brandon J. Reeder

Publikováno v: Experimental and Molecular Medicine, Vol 56, Iss 10, Pp 2260-2270 (2024)

Abstract The clinical utility of hemoglobin-based oxygen carriers (HBOC) is limited by adverse heme oxidative chemistry. A variety of tyrosine residues were inserted on the surface of the γ subunit of recombinant fetal hemoglobin to create novel ele

Externí odkaz: https://doaj.org/article/cd598760871146708ad3bed058119767

Towards an MLOps Architecture for XAI in Industrial Applications

Autor: Faubel, Leonhard, Woudsma, Thomas, Methnani, Leila, Ghezeljhemeidan, Amir Ghorbani, Buelow, Fabian, Schmid, Klaus, van Driel, Willem D., Kloepper, Benjamin, Theodorou, Andreas, Nosratinia, Mohsen, Bång, Magnus

Machine learning (ML) has become a popular tool in the industrial sector as it helps to improve operations, increase efficiency, and reduce costs. However, deploying and managing ML models in production environments can be complex. This is where Mach

Externí odkaz: http://arxiv.org/abs/2309.12756