Simple Summary Central Asian populations remain poorly represented in pharmacogenomic research, limiting the availability of population-specific information for precision medicine. In this study, we analyzed 112 directly genotyped, clinically relevant pharmacogenomic variants in 1301 Kazakh, Russian, and Uzbek individu...
Adaptive computational grids improve the accuracy and efficiency of numerical simulations by concentrating nodes in regions of particular interest, but classical adaptation methods based on differential equations are often computationally expensive and geometry-dependent. This study proposes a physics-informed neural n...
O. Turar, M. Mustafin, S. Mukhambetzhanov et al.· Algorithms· 0 citations
Physics-informed neural networks (PINNs) are difficult to train on strongly coupled, multi-objective systems: with fixed loss weights an otherwise identical run succeeds or diverges with the random seed, and a leading explanation attributes the failures to conflict between the loss-term gradients. We test that explanat...
Y. Kenzhebek, T. Imankulov, S. D. Bekele et al.· Machine Learning and Knowled...· 0 citations
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