Bioterrorism

PREACT-digital: study protocol for a longitudinal, observational multicentre study on digital phenotypes of non-response to cognitive behavioural therapy for internalising disorders.

INTRODUCTION: Cognitive behavioural therapy (CBT) serves as a first-line treatment for internalising...

Improved prediction of MAPKi response duration in melanoma patients using genomic data and machine learning.

Baseline genomic data have not demonstrated significant value for predicting the response duration t...

Prediction and characterisation of the human B cell response to a heterologous two-dose Ebola vaccine.

Ebola virus disease (EVD) outbreaks are increasing, posing significant threats to affected communiti...

Prediction of Early Neoadjuvant Chemotherapy Response of Breast Cancer through Deep Learning-based Pharmacokinetic Quantification of DCE MRI.

Purpose To improve the generalizability of pathologic complete response (pCR) prediction following ...

Integrative multimodal ultrasound and radiomics for early prediction of neoadjuvant therapy response in breast cancer: a clinical study.

PURPOSE: This study aimed to develop an early predictive model for neoadjuvant therapy (NAT) respons...

Response to Letter to the Editor 'Comments on the potential of an artificial intelligence for diagnosing MRI images in rectal cancer: multicenter collaborative trial' by Mao and Li.

Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home.

The frequent global outbreaks of viral infectious diseases have significantly heightened the urgent ...

Analysis of Single-Cell RNA-Seq Data to Investigate Tumor Cell Heterogeneity in Uroepithelial Bladder Cancer and Predict Immunotherapy Response.

BACKGROUND: Numerous studies have suggested a close association between cancer stem cells (CSCs) and...

Baseline Moderators of Response to Naltrexone and Bupropion in the Treatment of Methamphetamine Use Disorder: An ADAPT-2 Study.

OBJECTIVES: Extended-release naltrexone and once-daily bupropion (NTX-BUP) reduced methamphetamine (...

Gesture recognition and response system for special education using computer vision and human-computer interaction technology.

Gesture recognition has emerged as a pivotal technology for enhancing human-computer interaction (HC...

Explainable machine learning model for predicting the transarterial chemoembolization response and subtypes of hepatocellular carcinoma patients.

pyDOSEIA: A Python Package for Radiological Impact Assessment during Long-term or Accidental Atmospheric Releases.

pyDOSEIA is a Python package designed for meteorological data processing and radiological impact ass...

Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn's disease.

BACKGROUND: Crohn's disease (CD) is a chronic inflammatory bowel disease, with infliximab (IFX) comm...

Multiomic integration reveals subtype-specific predictors of neoadjuvant treatment response in breast cancer.

Neoadjuvant therapy has been widely used in breast cancer, but treatment response varies among indiv...

Dual Structure Reinforces Interfacial Polarized MXene/PVDF-TrFE Piezoelectric Nanocomposite for Pressure Monitoring.

The emerging interfacial polarization strategy exhibits applicative potential in piezoelectric enhan...

Real-Time Gas Identification at Room Temperature Using UV-Modulated Sb-Doped SnO Sensors via Machine Learning.

This study presents a novel approach for real-time gas identification at room temperature. We use UV...

Development of machine learning prediction models for systemic inflammatory response following controlled exposure to a live attenuated influenza vaccine in healthy adults using multimodal wearable biosensors in Canada: a single-centre, prospective controlled trial.

BACKGROUND: Presymptomatic or asymptomatic immune system signals and subclinical physiological chang...

Multichannel deep learning prediction of major pathological response after neoadjuvant immunochemotherapy in lung cancer: a multicenter diagnostic study.

OBJECTIVES: This study aimed to develop a pretreatment CT-based multichannel predictor integrating d...

Deep molecular profiling of synovial biopsies in the STRAP trial identifies signatures predictive of treatment response to biologic therapies in rheumatoid arthritis.

Approximately 40% of patients with rheumatoid arthritis do not respond to individual biologic therap...

Management and prediction of river flood utilizing optimization approach of artificial intelligence evolutionary algorithms.

Flooding is a devastating natural disaster that causes fatalities and property damage worldwide. Eff...

Insights into the relationship between anxiety and attitudes toward artificial intelligence among nursing students.

BACKGROUND: Artificial Intelligence (AI) integration in healthcare education represents a critical t...