Applying machine learning to pharmacovigilance data: A proof‐of‐concept study
Aim Machine learning (ML) applications in pharmacovigilance remain limited and underexplored. Using data from the French National pharmacovigilance database (FNPV), this proof‐of‐concept study aimed to assess the feasibility of using a ML algorithm—eXtreme Gradient Boosting (XGBoost)—combined with SHapley Additive exPlanations (SHAP) analysis, to ...
Romain Barus +6 more
wiley +1 more source
AdipoRon Modulation of the Invasive Potential of Prostate Cancer Cells Is Dependent on Their EMT-Related Phenotype. [PDF]
Gabriel ALR +6 more
europepmc +1 more source
Model‐Enabled Knowledge Transfer Across Cell Lines, Culture Scales and Conditions
ABSTRACT Mechanistic models are central to quantitative understanding and optimization of Chinese hamster ovary (CHO) cell culture processes, but their utility is often restricted by parameter sets calibrated for specific cell lines, scales, or operating conditions.
Luxi Yu +2 more
wiley +1 more source
Evaluating the safety of investigational anti-Alzheimer's drugs: a comprehensive meta-analysis in the past to current decade. [PDF]
Shaik NS +5 more
europepmc +1 more source
Levocetirizine-induced paradoxical fixed drug eruption: A case report with causality assessment. [PDF]
Remesh A, Lekshmi MS, Reshmi S.
europepmc +1 more source
A Mechanism for Analyzing the Energy Consumption and Environmental Impact of LoRa Sensors Over Time
An SPN‐based mechanism, validated against NS‐3 with MAPE below 0.3%, reveals how packet generation rate and spreading factor shape LoRa sensor lifetime, energy consumption, and operational CO2$$ {}_2 $$ emissions, supporting sustainable planning of large‐scale IoT deployments. ABSTRACT Long Range (LoRa) sensors are widely adopted in Internet of Things (
Vandirleya Barbosa +5 more
wiley +1 more source
Real-world evidence of water exchange colonoscopy improving adenoma detection rates: A propensity score-matched analysis. [PDF]
Chao YJ +6 more
europepmc +1 more source
Portable NIRS combined with machine learning enabled rapid and accurate authentication of cattle and buffalo meat. Optimized models (XGBoost, CNN) achieved > 98% accuracy, while SHAP revealed key spectral regions. This dual approach offers a field‐ready, reagent‐free tool for fraud prevention and traceability. ABSTRACT Ensuring the authenticity of high‐
Dip Ghosh, Raad Al Deen, Md. Abul Hashem
wiley +1 more source
The evolution of pharmacovigilance system in Bangladesh: present landscape and strategic priorities. [PDF]
Ahamed B, Hussain R.
europepmc +1 more source

