Results 181 to 190 of about 302,002 (276)

Metabolomic investigation of cisplatin‐induced acute kidney injury in paediatric cancer patients

British Journal of Clinical Pharmacology, EarlyView.
Aim Cisplatin causes acute kidney injury (AKI) in approximately 46% of paediatric cancer patients who receive it. Serum creatinine (SCr) is a poor biomarker of cisplatin nephrotoxicity, because there is a delay between cisplatin infusion and SCr elevation.
Yong Jin Lim, Amy Thachil, Kelly McMahon, Ross T. Tsuyuki, S. Rod Rassekh, Lesley G. Mitchell, Prasad Devarajan, Cherry Mammen, Bruce C. Carleton, Geoffrey D. E. Cuvelier, Victor A. Lewis, Colin J. D. Ross, Alexandra P. Zorzi, Sylvain Baruchel, Raveena Ramphal, Eric Bouffet, Mathieu Lemaire, Tom D. Blydt‐Hansen, Brad L. Urquhart, The Applying Biomarkers to Minimize Long‐Term Effects of Childhood/Adolescent Cancer Treatment (ABLE) Research Study Group, Tom Blydt‐Hansen, Bruce C. Carleton, Geoff D. E. Cuvelier, Sunil Desai, Prasad Devarajan, Conrad Fernandez, Adam Fleming, Paul Gibson, Caroline Laverdiere, Victor Lewis, Mary L. McBride, Bruno Michon, Shahrad Rod Rassekh, Colin J. D. Ross, Christine Sabapathy, Kirk R. Schultz, Michael Zappitelli, Alexandra Zorzi   +37 more
wiley   +1 more source

Predicting Visual Field Loss in Glaucoma Using OCT and Deep Learning: A Comparative Study of U-Net Variants. [PDF]

Ophthalmol Sci
Ohn K, Hwang J, Jung J, Whang WJ.
europepmc   +1 more source

Automated Data‐Efficient Symbolic Regression for Interpretable Bioprocess Model Development

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Bioprocessing is central to the sustainable manufacture of pharmaceuticals, food products, and renewable chemicals. Consequently, developing high‐fidelity kinetic models to facilitate accurate process prediction, optimisation, and scale‐up is a top research priority.
Luca Riezzo, Alexander Rogers, Harry Kay, Dongda Zhang   +3 more
wiley   +1 more source

Artificial intelligence-driven body surface area (BSA) estimation using computed tomography: Comparative evaluation with existing formulae. [PDF]

Medicine (Baltimore)
Sebro R, Elmahdy M.
europepmc   +1 more source

On Optimal Multichannel Mean-Squared Error Estimators for Speech Enhancement

IEEE Signal Processing Letters, 2009
R. Hendriks, R. Heusdens, U. Kjems, J. Jensen   +3 more
semanticscholar   +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

Channel estimation strategies for STAR-RIS-Aided NOMA: robustness to imperfections and complexity trade-offs for 6G wireless systems. [PDF]

Sci Rep
Ammisetty MB, Ramarakula M.
europepmc   +1 more source

Estimating the mean effect size in meta-analysis: Bias, precision, and mean squared error of different weighting methods

Behavoir research methods, instruments & computers, 2003
W. Noortgate, P. Onghena
semanticscholar   +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, José Manuel Santos‐Jaén, María Estefanía Sánchez Pacheco, Fernando José Zambrano Farías   +3 more
wiley   +1 more source

Information-Driven Rule Reduction in Belief Rule Bases for Complex System Modeling. [PDF]

Entropy (Basel)
Liu X, Huang H, Li Y, Xia Z, Zhao S.
europepmc   +1 more source