Results 101 to 110 of about 184,299 (283)

Mechanism‐informed machine learning for individualized tacrolimus dose adjustment in the early post‐kidney transplant period

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, Zihan Qin, Logan S. Smith, Jeong M. Park, Hao‐Jie Zhu   +4 more
wiley   +1 more source

Pharmacokinetics and pharmacodynamics of intravenous and oral (S)‐ketamine: Investigating metabolite contribution to subjective effects

British Journal of Clinical Pharmacology, EarlyView.
Aims Oral administration of (S)‐ketamine for treatment‐resistant depression (TRD), as alternative to the registered intranasal or off‐label intravenous administrations, has high potential. However, it is characterized by an extensive first‐pass metabolism, resulting in low (S)‐ketamine exposure and high levels of active metabolites, including (S ...
Marije E. Otto, Gabriël E. Jacobs, Joost C. van Mechelen, Laura G. J. M. Borghans, Johan G. C. van Hasselt, Linda B. S. Aulin   +5 more
wiley   +1 more source

On spike and slab empirical Bayes multiple testing [PDF]

, 2020
Ismaël Castillo, Étienne Roquain
openalex   +1 more source

The impacts of biological invasions

Biological Reviews, EarlyView.
ABSTRACT The Anthropocene is characterised by a continuous human‐mediated reshuffling of the distributions of species globally. Both intentional and unintentional introductions have resulted in numerous species being translocated beyond their native ranges, often leading to their establishment and subsequent spread – a process referred to as biological
Phillip J. Haubrock, Teun Everts, Neil Angelo S. Abreo, Jamie Bojko, Victor Deklerck, James W. E. Dickey, Ana Clara S. Franco, Emili García‐Berthou, Stelios Katsanevakis, Natalia I. Kirichenko, Stefano Mammola, Martin A. Nuñez, Ben Parker, Riccardo Scalera, Ismael Soto, Diederik Strubbe, Ali Serhan Tarkan, Lorenzo Vilizzi, Tim Adriaens, Paride Balzani, Dagmara Błońska, Elizabeta Briski, Rein Brys, Amy L. Burgess, James E. Byers, Carlos Cano‐Barbacil, Giuseppe Castaldelli, Jaimie T.A. Dick, Victoria Dominguez Almela, Romina D. Dimarco, Margarita Florencio, Antonín Kouba, Melina Kourantidou, Irmak Kurtul, Irene Martín‐Forés, Olivier Morissette, Julian D. Olden, Bruno E. Soares, Jakub Truszkowski, Hugo Verreycken, Marc Kenis, Ronaldo Sousa, J. Robert Britton   +42 more
wiley   +1 more source

Comment: Bayes, Oracle Bayes and Empirical Bayes [PDF]

, 2019
Aad van der Vaart
openalex   +1 more source

Key Macroeconomic Indicators Influencing Stock Return and Volatility: Empirical Evidence from a Study of Greater Bay Area, Hong Kong, China

, 2022
Ping-fu LAI
openalex   +1 more source

Digital Technologies Disclosure and the Cost of Capital: The Mediating Role of Sustainability Performance

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the economic consequences of Digital Technologies Disclosure (DTD), focusing on its impact on the cost of capital. The increasing significance of digital transformation in shaping corporate strategies and market perceptions motivates the study.
Hussein Mohsen Saber Ahmed, Awad Elsayed Awad Ibrahim, Khaldoon Albitar   +2 more
wiley   +1 more source

Artificial Neuronal Networks: A Bayesian Approach Using Parallel Computing

Revista Colombiana de Estadística
An Artificial Neural Network (ANN) is a learning paradigm and automatic processing inspired in the biological behavior of neurons and the brain structure.
Eduardo Guzmán, Mario Vázquez, David del Valle, Paulino Pérez-Rodríguez   +3 more
doaj   +1 more source

Thresholding Gini variable importance with a single-trained random forest: An empirical Bayes approach. [PDF]

Comput Struct Biotechnol J, 2023
Dunne R, Reguant R, Ramarao-Milne P, Szul P, Sng LMF, Lundberg M, Twine NA, Bauer DC, Bauer DC.   +8 more
europepmc   +1 more source

Empirical Minimum-Variance Hedge (The) [PDF]

Decision making under unknown true parameters (estimation risk) is discussed along with Bayes' and parameter certainty equivalent (PCE) criteria. Bayes' criterion incorporates estimation risk in a manner consistent with expected utility maximization. The
Hayes, Dermot J., Lence, Sergio H.
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