Bioterrorism

Geospatial analysis of short sleep duration and cognitive disability in US adults: a multi-state study using machine learning techniques.

BACKGROUND: There is evidence of increased risk of cognitive disability due to short sleep duration ...

Machine learning using serial changes in proteinuria during initial steroid therapy to predict treatment response and immunosuppressant use in pediatric idiopathic nephrotic syndrome.

BACKGROUND: Epidemiological studies on idiopathic nephrotic syndrome (INS) in children have identifi...

Development and validation of an MRI spatiotemporal interaction model for early noninvasive prediction of neoadjuvant chemotherapy response in breast cancer: a multicentre study.

BACKGROUND: The accurate and early evaluation of response to neoadjuvant chemotherapy (NAC) in breas...

Multiscale-fusion models with genomic, topological and pathomic features to predict response to radiation therapy for non-small cell lung cancer patients.

Artificial intelligence models with biomarkers to predict treatment responses to radiation would be ...

Pretreatment Multi-sequence Contrast-Enhanced MRI to Predict Response to Immunotherapy in Unresectable Hepatocellular Carcinoma Using Transformer: A Multicenter Study.

Targeted combined immunotherapy (TCI) has shown certain antitumor effects in patients with unresect...

Deep learning and inflammatory markers predict early response to immunotherapy in unresectable NSCLC: A multicenter study.

Immune checkpoint inhibitors (ICIs) demonstrate substantial interpatient variability in clinical eff...

Predicting atezolizumab response in metastatic urothelial carcinoma patients using machine learning on integrated tumour gene expression and clinical data.

Atezolizumab is a treatment for metastatic urothelial carcinoma (mUC), yet only 23% of mUC patients ...

Cone-beam computed tomography-based online adaptive radiotherapy of esophageal cancer in the neoadjuvant setting: Dosimetric analysis, toxicity and treatment response.

BACKGROUND AND PURPOSE: Chemoradiotherapy (CRT) followed by surgery is a treatment option for esopha...

Histopathologic deep learning model for predicting tumor response to hepatic arterial infusion chemotherapy plus TKIs and ICIs in large hepatocellular carcinoma.

BACKGROUND: While triplet therapy (HTI), which combines hepatic arterial infusion chemotherapy (HAIC...

Machine learning based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases.

Gut microbiota has been implicated in the pathogenesis of multiple gastrointestinal (GI) and systemi...

Optimization of hemocompatibility metrics in ventricular assist device design using machine learning and CFD-based response surface analysis.

Ventricular assist devices (VADs) are essential for end-stage heart failure patients, but their desi...

The value of machine learning based on magnetic resonance imaging (MRI) and biopsy whole-slide image to predict pathological complete response to breast cancer after neoadjuvant chemotherapy: a two-centre study.

AIM: To develop and validate a combined model based on magnetic resonance imaging (MRI), and whole-s...

A hybrid PSO-FFNN approach for optimized seismic design and accurate structural response prediction in steel moment-resisting frames.

The first steel is the most prevalent material used in building. Steel's intrinsic hardness and dura...

Tumor-specific draining lymph node CD8 T cells orchestrate an anti-tumor response to neoadjuvant PD-1 immune checkpoint blockade.

Elucidating the anti-tumor role of tumor-draining lymph nodes (tdLNs) in patients could offer critic...

Development and interpretation of a pathomics-based model for the prediction of immune therapy response in colorectal cancer.

Colorectal cancer (CRC) is the third most common malignancy and the second leading cause of cancer-r...

NeoPred: dual-phase CT AI forecasts pathologic response to neoadjuvant chemo-immunotherapy in NSCLC.

BACKGROUND: Accurate preoperative prediction of major pathological response or pathological complete...

Revolutionizing the future: unleashing the potential of generative AI ChatGPT in disaster management.

Incorporating generative artificial intelligence (AI) models, particularly ChatGPT, into resilience ...

Relationship between spleen volume and diameter for assessment of response to treatment on CT in patients with hematologic malignancies enrolled in clinical trials.

PURPOSE: Investigate spleen diameter (d) and volume (v) relationship in patients with hematologic ma...

18F-FDG PET/CT Radiomics for Predicting Therapy Response in Primary Mediastinal B-Cell Lymphoma: A Bi-Centric Pilot Study.

PURPOSE: This bi-centric pilot study investigates the predictive value of pre-treatment [F]FDG PET/C...

Response to Letter to the Editor regarding "Evaluation of accuracy of deep learning and conventional neural network algorithms in detection of dental implant type using intraoral radiographic images: A systematic review and meta-analysis".

Development of an immune scoring system based on exosome-related gene expression for prognosis and treatment response prediction in breast cancer.

Breast cancer (BC) is a heterogeneous disease with diverse subtypes that influence prognosis and tre...