Mse - Open Access .click

Results 221 to 230 of about 336,506 (292)

Real‐World Usage and Outcomes of Different Siltuximab Dosing Frequency in Idiopathic Multicentric Castleman Disease

American Journal of Hematology, EarlyView.
Yoshito Nishimura +4 more
wiley +1 more source

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

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

[Comparison of missing data handling methods for AC<sub>1</sub> coefficient estimation]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Li K, Xu L, Yu M, An S.
europepmc +1 more source

Development of Raman Spectroscopy and Machine Learning Methods for Protein Aggregate Quantification: Application to BSA in Chromatographic Processes

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Protein aggregation poses a significant risk to biopharmaceutical product quality, as even minor amounts of oligomeric species can compromise efficacy and safety. Rapid and reliable detection of protein aggregates thus remains a major challenge in biopharmaceutical manufacturing.
Jakob Heyer‐Müller +4 more
wiley +1 more source

Estimating real-world treatment effects in the presence of measurement error and sparse outcome data using propensity score methods. [PDF]

Front Pharmacol
Burnell J +4 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

Intelligent predictive neural network analysis of stefan blowing impacts on chemical reactive flow of Boger nanofluid with thermophoresis and brownian motion. [PDF]

Discov Nano
Shaaban SM +6 more
europepmc +1 more source

Does Managerial Ability Improve Environmental Performance and Overall ESG Ratings? The Impact of the European Sustainability Reporting Mandate

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the role of managerial ability in driving environmental performance and overall environmental, social, and governance (ESG) ratings in the context of the European Union sustainability reporting regulations. Using a sample of 7242 firm‐year observations over the period 2015–2023, our results indicate a structural change in ...
Mihaela Ionașcu, Ion Ionașcu, Elena Turuianu +2 more
wiley +1 more source

Performance of propensity score methods in observational studies: a systematic review. [PDF]

Syst Rev
Tatari M, Rosato S, D'Errigo P, Jona Lasinio G. +3 more
europepmc +1 more source

Do Governance Structures Drive Green Building Adoption? A Machine Learning Approach With Random Forests

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez +3 more
wiley +1 more source

psnr
science
prediction

multicollinearity