Machine learning applications in river research: Trends, opportunities and challenges

L Ho, P Goethals - Methods in Ecology and Evolution, 2022 - Wiley Online Library
As one of the earth's key ecosystems, rivers have been intensively studied and modelled
through the application of machine learning (ML). With the amount of large data available …

Water research in support of the Sustainable Development Goal 6: A case study in Belgium

L Ho, A Alonso, MAE Forio, M Vanclooster… - Journal of Cleaner …, 2020 - Elsevier
Abstract Reaching the Sustainable Development Goal (SDG) 6 on water and sanitation is
fundamentally important and conditional to the achievement of all the other SDGs …

A machine learning model to predict the triple negative breast cancer immune subtype

Z Chen, M Wang, RL De Wilde, R Feng, M Su… - Frontiers in …, 2021 - frontiersin.org
Background Immune checkpoint blockade (ICB) has been approved for the treatment of
triple-negative breast cancer (TNBC), since it significantly improved the progression-free …

Population pharmacokinetic modeling of itraconazole and hydroxyitraconazole for oral SUBA-itraconazole and sporanox capsule formulations in healthy subjects in …

AY Abuhelwa, DJR Foster, S Mudge… - Antimicrobial agents …, 2015 - Am Soc Microbiol
Itraconazole is an orally active antifungal agent that has complex and highly variable
absorption kinetics that is highly affected by food. This study aimed to develop a population …

A tutorial on RxODE: simulating differential equation pharmacometric models in R

W Wang, KM Hallow, DA James - CPT: pharmacometrics & …, 2016 - Wiley Online Library
This tutorial presents the application of an R package, RxODE, that facilitates quick, efficient
simulations of ordinary differential equation models completely within R. Its application is …

Greenhouse gas dynamics in an urbanized river system: influence of water quality and land use

L Ho, R Jerves-Cobo, M Barthel, J Six, S Bode… - … Science and Pollution …, 2022 - Springer
Rivers act as a natural source of greenhouse gases (GHGs). However, anthropogenic
activities can largely alter the chemical composition and microbial communities of rivers …

ChatGPT in pharmacometrics? Potential opportunities and limitations

ME Cloesmeijer, A Janssen… - British journal of …, 2024 - Wiley Online Library
The potential of using ChatGPT in pharmacometrics was explored in this study, with a focus
on developing a population pharmacokinetic (PK) model for standard half‐life factor VIII. Our …

STRait Razor Online: An enhanced user interface to facilitate interpretation of MPS data

JL King, AE Woerner, SN Mandape, KB Kapema… - Forensic Science …, 2021 - Elsevier
Abstract Since 2013, STRait Razor has enabled analysis of massively parallel sequencing
(MPS) data from various marker systems such as short tandem repeats, single nucleotide …

Role of Artificial Intelligence in Drug Discovery and Target Identification in Cancer

V Sharma, A Singh, S Chauhan… - Current Drug …, 2024 - ingentaconnect.com
Drug discovery and development (DDD) is a highly complex process that necessitates
precise monitoring and extensive data analysis at each stage. Furthermore, the DDD …

A framework for visualization and analysis of agronomic field trials from on‐farm research networks

A Laurent, P Kyveryga, D Makowski… - Agronomy Journal, 2019 - Wiley Online Library
An on‐farm research network is an organization of farmers that conducts agronomic
experiments under local conditions. It is common that an elementary statistical analysis be …