Bioterrorism

Predicting Immunotherapy Response in Unresectable Hepatocellular Carcinoma: A Comparative Study of Large Language Models and Human Experts.

Hepatocellular carcinoma (HCC) is an aggressive cancer with limited biomarkers for predicting immuno...

Multi-response optimization and validation analysis in the detection of acetochlor and butachlor by HPLC based on D-optimal design methodology.

Acetochlor and butachlor, widely used herbicides, pose environmental and health risks through water ...

Hypoferremic Response to Chronic Inflammation Is Controlled via the Hemojuvelin/Hepcidin/Ferroportin Axis and Does Not Involve Hepcidin-Independent Regulation of Fpn mRNA.

The iron regulatory hormone hepcidin contributes to the pathogenesis of anemia of inflammation (AI) ...

Impact of thyroglobulin changes on clinical outcomes of differentiated thyroid cancer with biochemical incomplete response.

PURPOSE: Partial patients with biochemical incomplete response (BIR) after initial therapy for diffe...

Anti-HBs persistence and anamnestic response among medical interns vaccinated in infancy.

Medical interns are at high risk of acquiring Hepatitis B Virus (HBV) infection during their trainin...

Glycemic Index and Appetite Response of Iron-Biofortified Cowpeas ( (l.) Walp.) in Healthy Adults and Its Effects on Inflammation and Oxidative Stress in Raw 264.7 Cells.

OBJECTIVE: This study aimed to determine the glycemic index of conventional and biofortified cowpeas...

Radiomic analysis based on machine learning of multi-sequences MR to assess early treatment response in locally advanced nasopharyngeal carcinoma.

ObjectiveThe prediction of early response in locally advanced nasopharyngeal carcinoma (LA-NPC) afte...

Uncovering the Role of Critical Bonds in the Thermomechanical Response of Zn(1,4-benzenedicarboxylate)(1,4-diazabicyclo[2,2,2]octane) Using Simulations and Physics-Constrained Neural Networks.

Metal-organic frameworks (MOFs) are susceptible to harsh conditions involving high temperatures, mec...

An integrated machine learning-based prognostic model in head and neck cancer using the systemic inflammatory response index and correlations with patient reported financial toxicity.

OBJECTIVE: To investigate the prognostic utility of systemic inflammatory response index (SIRI) as a...

Corrigendum to "Machine learning modeling and response surface methodology driven antioxidant and anticancer activities of chitosan nanoparticle-mediated extracts of Bacopa monnieri" [Int. J. Biol. Macromol. 310 (2025) 143470].

Infodemic Versus Viral Information Spread: Key Differences and Open Challenges.

As we move beyond the COVID-19 pandemic, the risk of future infodemics remains significant, driven b...

An efficient patient's response predicting system using multi-scale dilated ensemble network framework with optimization strategy.

The forecasting of a patient's response to radiotherapy and the likelihood of experiencing harmful l...

Mismatch between warning information and protective behavior: Why experts + AI < 2?

Warning information plays a vital role in encouraging disaster preparedness among residents. Using s...

The answer may vary: large language model response patterns challenge their use in test item analysis.

INTRODUCTION: The validation of multiple-choice question (MCQ)-based assessments typically requires ...

A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health.

Pesticides and other synthetic agrochemicals play a critical role in emerging agricultural practices...

Neural networks to model COVID-19 dynamics and allocate healthcare resources.

This study presents a neural network-based framework for COVID-19 transmission prediction and health...

Development and Evaluation of Automated Artificial Intelligence-Based Brain Tumor Response Assessment in Patients with Glioblastoma.

This project aimed to develop and evaluate an automated, AI-based, volumetric brain tumor MRI respon...

A deep learning-based clinical-radiomics model predicting the treatment response of immune checkpoint inhibitors (ICIs)-based conversion therapy in potentially convertible hepatocelluar carcinoma patients: a tumor marker prognostic study.

BACKGROUND: The majority of patients with hepatocellular carcinoma (HCC) miss the opportunity of rad...

Predicting the Next Response: Demonstrating the Utility of Integrating Artificial Intelligence-Based Reinforcement Learning with Behavior Science.

The concepts of reinforcement and punishment arose in two disparate scientific domains of psychology...

Mediating effect of AI attitudes and AI literacy on the relationship between career self-efficacy and job-seeking anxiety.

As artificial intelligence (AI) technology quickly grows, college students have new worries and fear...

Development and validation a radiomics combined clinical model predicts treatment response for esophageal squamous cell carcinoma patients.

PURPOSE: This study is aimed to develop and validate a machine learning model, which combined radiom...