Zobrazeno 1 - 10
of 3 632
pro vyhledávání: '"Arany A"'
Autor:
Svensson, Emma, Friesacher, Hannah Rosa, Winiwarter, Susanne, Mervin, Lewis, Arany, Adam, Engkvist, Ola
In the early stages of drug discovery, decisions regarding which experiments to pursue can be influenced by computational models. These decisions are critical due to the time-consuming and expensive nature of the experiments. Therefore, it is becomin
Externí odkaz:
http://arxiv.org/abs/2409.04313
In the drug discovery process, where experiments can be costly and time-consuming, computational models that predict drug-target interactions are valuable tools to accelerate the development of new therapeutic agents. Estimating the uncertainty inher
Externí odkaz:
http://arxiv.org/abs/2407.14185
Identifying the chemical structure from a graphical representation, or image, of a molecule is a challenging pattern recognition task that would greatly benefit drug development. Yet, existing methods for chemical structure recognition do not typical
Externí odkaz:
http://arxiv.org/abs/2404.01743
The MACE architecture represents the state of the art in the field of machine learning force fields for a variety of in-domain, extrapolation and low-data regime tasks. In this paper, we further evaluate MACE by fitting models for published benchmark
Externí odkaz:
http://arxiv.org/abs/2305.14247
Training object detection models usually requires instance-level annotations, such as the positions and labels of all objects present in each image. Such supervision is unfortunately not always available and, more often, only image-level information
Externí odkaz:
http://arxiv.org/abs/2303.05148
Publikováno v:
Sustainable Futures, Vol 8, Iss , Pp 100347- (2024)
The Vehicle Routing Problem (VRP) model optimizes the routing of a fleet of vehicles to serve customers and has evolved over time. VRP studies have experienced an 11% growth over the past 5 years. In recent years, researchers have been working on a s
Externí odkaz:
https://doaj.org/article/84778533923f4995b7388fe7ce41e2f1
Autor:
Olga Corazón Irizarry, Jennifer Lewey, Camille McCallister, Nathanael C. Koelper, Zoltan Arany, Lisa D. Levine
Publikováno v:
American Heart Journal Plus, Vol 47, Iss , Pp 100472- (2024)
Study objective: To evaluate patient-level differences and decision making surrounding subsequent pregnancies (SSP) after peripartum cardiomyopathy (PPCM). Design: Mixed methods approach to evaluate quantitative demographic and clinical differences b
Externí odkaz:
https://doaj.org/article/e3134a482f56420ebad055410b33f17c
Autor:
Oldenhof, Martijn, Ács, Gergely, Pejó, Balázs, Schuffenhauer, Ansgar, Holway, Nicholas, Sturm, Noé, Dieckmann, Arne, Fortmeier, Oliver, Boniface, Eric, Mayer, Clément, Gohier, Arnaud, Schmidtke, Peter, Niwayama, Ritsuya, Kopecky, Dieter, Mervin, Lewis, Rathi, Prakash Chandra, Friedrich, Lukas, Formanek, András, Antal, Peter, Rahaman, Jordon, Zalewski, Adam, Heyndrickx, Wouter, Oluoch, Ezron, Stößel, Manuel, Vančo, Michal, Endico, David, Gelus, Fabien, de Boisfossé, Thaïs, Darbier, Adrien, Nicollet, Ashley, Blottière, Matthieu, Telenczuk, Maria, Nguyen, Van Tien, Martinez, Thibaud, Boillet, Camille, Moutet, Kelvin, Picosson, Alexandre, Gasser, Aurélien, Djafar, Inal, Simon, Antoine, Arany, Ádám, Simm, Jaak, Moreau, Yves, Engkvist, Ola, Ceulemans, Hugo, Marini, Camille, Galtier, Mathieu
To apply federated learning to drug discovery we developed a novel platform in the context of European Innovative Medicines Initiative (IMI) project MELLODDY (grant n{\deg}831472), which was comprised of 10 pharmaceutical companies, academic research
Externí odkaz:
http://arxiv.org/abs/2210.08871
Pharmaceutical industry can better leverage its data assets to virtualize drug discovery through a collaborative machine learning platform. On the other hand, there are non-negligible risks stemming from the unintended leakage of participants' traini
Externí odkaz:
http://arxiv.org/abs/2205.06506
Autor:
Axsom, Jessie, TeSlaa, Tara, Lee, Won Dong, Chu, Qingwei, Cowan, Alexis, Bornstein, Marc R., Neinast, Michael D., Bartman, Caroline R., Blair, Megan C., Li, Kristina, Thorsheim, Chelsea, Rabinowitz, Joshua D., Arany, Zoltan
Publikováno v:
In Cell Metabolism 3 December 2024 36(12):2560-2579