Research Insights
Research Insights section focuses on the cutting-edge and breakthrough research that is happening all over the world. Laboratories across the globe are working hard to develop drugs and therapies for various diseases and research insights directly from them add tremendous value.
Linking Spatial Drug Heterogeneity to Microbial Growth Dynamics in Theory and Experiment
Drugs play a central role in limiting bacterial population spread yet laboratory studies typically assume wellmixed environments when assessing microbial drug responses In contrast bacteria in the human body
Coupled Pharmacokinetic Model Unveils Drug-drug Interactions in Plasma Concentration
In oral drug pharmacokinetics PK drugdrug interactions are inevitable yet traditional compartmental models struggle to effectively quantify such processes This study proposes a linearly coupled twocompartment
An Interpretable Machine Learning Framework for Adverse Drug Reaction Prediction from Drug-target Interactions
Adverse drug reactions ADRs present challenges to patient safety and healthcare systems Current pharmacovigilance methods such as the Yellow Card Scheme YCS provide valuable postmarketing
GAN-enhanced Machine Learning and Metabolic Modeling Identify Reprogramming in Pancreatic Cancer
Pancreatic ductal adenocarcinoma is one of the deadliest forms of cancer presenting significant clinical challenges due to poor prognosis and limited treatment options Understanding
An Agent-based Model of Metabolic Signaling Oscillations in Bacillus Subtilis Biofilms
Microbes of nearly every species can form biofilms communities of cells bound together by a selfproduced matrix It is not understood how variation
A Meta-contrastive Learning Approach for Clinical Drug-drug Interaction Extraction From Biomedical Literature
Drugdrug interactions DDIs are a significant source of adverse drug events and pose critical challenges to patient safety and clinical decisionmaking Extracting DDIs from biomedical literature plays an essential role in pharmacovigilance yet remains difficult due to data sparsity and high annotation costs
The Shape of Waning Vaccinal Immunity: Implications For Control
The COVID pandemic and current uncertainties about HN influenza underscore the importance of vaccination for both community immunity and to prevent pathogen invasion While the duration of a fullyimmune period
Enhancing Drug Repositioning: A Multi-class Ensemble Model for Drug-target Interaction Prediction with Action Type Categorization
Accurate prediction of drugtarget interactions DTIs is critical for accelerating drug repositioning and reducing the cost of pharmaceutical development Most existing studies frame DTI prediction as a binary task
Designing Influenza Virus-derived Cell-penetrating Peptides for Antigen Delivery: Integrating Uptake Efficiency, Safety, and Receptor Targeting
Successful antigen delivery is of paramount importance for successful vaccination Cellpenetrating peptides CPPs offer a highly effective means of delivering antigens nucleic acids and other drug compounds to cells
Drug-related Stigma Among People Who Inject Drugs – Development and Validation of the Drug Use Stigma Scale (DUSS)
Drug use is a highly stigmatized behavior and drugrelated stigma is a key driver of behavioral risk lower health care utilization and associated adverse health outcomes among people who inject drugs PWID
