British Journal of Clinical Pharmacology, EarlyView.Abstract Aim Tacrolimus dosing in the early post‐kidney transplant period is challenging due to a narrow therapeutic index and substantial interindividual pharmacokinetic (PK) variability. This study aimed to develop and validate mechanism‐informed machine learning (ML) models to support individualized tacrolimus dosing during this critical period ...
Hui Yu +4 more
wiley +1 more source
Frequency Analysis of Acoustic Data Using Multiple-Measurement Sparse Bayesian Learning. [PDF]
Sensors (Basel), 2021 Shin M, Hong W, Lee K, Choo Y.
europepmc +1 more source
Biotechnology and Bioengineering, EarlyView.ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai +9 more
wiley +1 more source
Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework. [PDF]
Neuroimage, 2021 Hashemi A +5 more
europepmc +1 more source
Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges
Biotechnology and Bioengineering, EarlyView.ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz +3 more
wiley +1 more source
A Point-Matching Method of Moment with Sparse Bayesian Learning Applied and Evaluated in Dynamic Lung Electrical Impedance Tomography. [PDF]
Bioengineering (Basel), 2021 Dimas C +3 more
europepmc +1 more source
On the Prediction of pDNA Productivity Across Diverse Bioprocesses Using Ensemble Hybrid Models
Biotechnology and Bioengineering, EarlyView.ABSTRACT The global demand for plasmid DNA (pDNA) is rapidly increasing due to its key role in the manufacture of mRNA vaccines and advanced therapy medicinal products (ATMPs). However, the reliance on suboptimal batch and/or fed‐batch processes, as well as the diversity and increasing complexity of plasmid constructs pose significant challenges during
Nikolaos Stratis +2 more
wiley +1 more source
A Two-Stage STAP Method Based on Fine Doppler Localization and Sparse Bayesian Learning in the Presence of Arbitrary Array Errors. [PDF]
Sensors (Basel), 2021 Liu K, Wang T, Wu J, Chen J.
europepmc +1 more source
Biotechnology and Bioengineering, EarlyView.ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal +2 more
wiley +1 more source
A Novel Clutter Suppression Method Based on Sparse Bayesian Learning for Airborne Passive Bistatic Radar with Contaminated Reference Signal. [PDF]
Sensors (Basel), 2021 Wang J, Wang J, Zhu Y, Zhao D.
europepmc +1 more source