Machine learning-based clinical decision support using laboratory data

HC Çubukçu, Dİ Topcu, S Yenice - Clinical Chemistry and Laboratory …, 2024 - degruyter.com
Artificial intelligence (AI) and machine learning (ML) are becoming vital in laboratory
medicine and the broader context of healthcare. In this review article, we summarized the …

Review on activity-based detection of doping substances and growth promotors in biological matrices: do bioassays deserve a place in control programs?

LK Janssens, P Van Eenoo, CP Stove - Analytica Chimica Acta, 2024 - Elsevier
Background Control programs such as anti-doping control and growth promotor residue
surveillance programs are challenged by the emergence of designer drugs and the use of …

Untargeted Detection of HIF Stabilizers in Doping Samples: Activity-Based Screening with a Stable In Vitro Bioassay

LK Janssens, L De Wilde, P Van Eenoo… - Analytical …, 2023 - ACS Publications
Hypoxia-inducible factor (HIF) stabilizers are listed in the World Anti-Doping Agency's
prohibited list as they can increase aerobic exercise capacity. The rapid pace of emergence …

Activity-based detection of synthetic cannabinoid receptor agonists in plant materials

A Timmerman, M Balcaen, V Coopman… - Harm Reduction …, 2024 - Springer
Background Since late 2019, fortification of 'regular'cannabis plant material with synthetic
cannabinoid receptor agonists (SCRAs) has become a notable phenomenon on the drug …

Interpreting mono-and poly-SCRA intoxications from an activity-based point of view: JWH-018 equivalents in serum as a comparative measure

LK Janssens, MJ Sommer, KE Grafinger… - Archives of …, 2024 - Springer
Synthetic cannabinoid receptor agonists (SCRAs) are a class of synthetic drugs that mimic
and greatly surpass the effect of recreational cannabis. Acute SCRA intoxications are in …

Linking in vitro and ex vivo CB1 activity with serum concentrations and clinical features in 5F-MDMB-PICA users to better understand SCRAs and their metabolites

LK Janssens, S Hudson, DM Wood, C Wolfe… - Archives of …, 2022 - Springer
Synthetic cannabinoid receptor agonists (SCRAs) pose a danger to public health. This study
focused on individuals experiencing recreational drug toxicity who had used 5F-MDMB …

From 2015 to 2023: How Machine Learning Aids Natural Product Analysis

S Shi, Z Huang, X Gu, X Lin, C Zhong, J Hang, J Lin… - Chemistry Africa, 2024 - Springer
In recent years, conventional chemistry techniques have faced significant challenges due to
their inherent limitations, struggling to cope with the increasing complexity of and volume of …

Novel Receptor-Binding-Based Assay for the Detection of Opioids in Human Urine Samples

M Bergerhoff, B Moosmann - Analytical Chemistry, 2023 - ACS Publications
Consumption of opioids is a growing global health problem. The gold standard for drugs of
abuse screening is immunochemical assays. However, this method comes with some …

Toward a personal drug detection assistant: machine learning for detection of synthetic cannabinoid receptor agonists

S Haymond - Clinical chemistry, 2022 - academic.oup.com
Detection of novel psychoactive substances such as synthetic cannabinoid receptor
agonists (SCRAs) is a worldwide problem with serious clinical and public health …