Saunders, Doug
Following a string of violent crimes by teen and adult gangmembers, Memphis is gearing up to...Warren, Beth
Inspired by drug discovery, the traditional way workflows make use of cheaper approximate measures is through the use of a screening approach known as a computational funnel7 –Fig. 1. Here, starting with cheap less accurate methods (e.g. QSAR models), increasingly more expensive and accurate ...
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Extended data Extended Data Fig. 1 Development of CellTag-multi for parallel capture of lineage with scRNA-seq and scATAC-seq. (a) Schematic comparing the original7...
training objectives can force the models to learn different aspects of knowledge from the same dataset, and to indirectly increase the training samples. For the second limitation, the parameter sharing method can be used to share learned knowledge of auxiliary tasks to the main task, to function ...
Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary information A Multi-Fidelity Machine Learning Approach to High Throughput Materials Screening – Supplemental Information...
Interfaces for noninvasive ventilation should be considered as a non-significant risk device according to the definition given from the Food and Drug Administration. Besides, the present randomized controlled trial does not intend to investigate a new interface but the protocolized rotational use of co...
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary Information Additional file 1. Rights and permissions Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharin...
The models used the following set of parameters: sampling method (up-sampling, down-sampling); type of layer (GRU, LSTM, Simple); loss function (MAE, MSE, MSLE); in addition, performance metrics obtained based on training, validation, and testing datasets—for the force on every axis (...
Evaluation of extrapolation methods to predict trough concentrations to guide therapeutic drug monitoring of oral anticancer drugs. Ther. Drug Monit. 2020, 42, 532–539. [Google Scholar] [CrossRef] [PubMed] Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published ...