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Automated active learning to optimize hydrogel drug release profiles. [PDF]
J Control ReleaseCheong E, Radford DC, Gormley AJ.
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Artificial Intelligence and Predictive Modelling for Precision Dosing of Immunosuppressants in Kidney Transplantation. [PDF]
Pharmaceuticals (Basel)Altynova S +5 more
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Exploring Active Learning in a Bayesian Framework
, 2010 Denton, Stephen, Kruschke, John
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Active Surveillance via Group Sparse Bayesian Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022The key to the effective control of a diffusion system lies in how accurately we could predict its unfolding dynamics based on the observation of its current state. However, in the real-world applications, it is often infeasible to conduct a timely and yet comprehensive observation due to resource constraints. In view of such a practical challenge, the
Hongbin Pei +3 more
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Bayesian Active Learning for Drug Combinations
IEEE Transactions on Biomedical Engineering, 2013The dynamics of complex diseases are governed by intricate interactions of myriad factors. Drug combinations, formed by mixing several single-drug treatments at various doses, can enhance the effectiveness of the therapy by targeting multiple contributing factors.
Mijung, Park +2 more
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Audiogram estimation using Bayesian active learning
The Journal of the Acoustical Society of America, 2018Two methods for estimating audiograms quickly and accurately using Bayesian active learning were developed and evaluated. Both methods provided an estimate of threshold as a continuous function of frequency. For one method, six successive tones with decreasing levels were presented on each trial and the task was to count the number of tones heard.
Schlittenlacher, Josef +2 more
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