Bioterrorism

3D Deep Learning Model for the Pretreatment Evaluation of Treatment Response in Esophageal Carcinoma: A Prospective Study (ChiCTR2000039279).

PURPOSE: To develop and validate a pretreatment computed tomography (CT)-based deep-learning (DL) mo...

Clinical decision support algorithm based on machine learning to assess the clinical response to anti-programmed death-1 therapy in patients with non-small-cell lung cancer.

OBJECTIVE: Anti-programmed death (PD)-1 therapy confers sustainable clinical benefits for patients w...

Choquet fuzzy integral-based classifier ensemble technique for COVID-19 detection.

The COVID-19 outbreak has resulted in a global pandemic and led to more than a million deaths to dat...

Risperidone Reduces Matrix Metalloproteinase-9 and Increases Neurotrophin-3 in Schizophrenia Spectrum of Disorder.

Even though earlier studies have reported alteration in the markers of synaptic plasticity (Matrix m...

Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging.

INTRODUCTION: Pupillometry, the measurement of eye pupil diameter, is a well-established and objecti...

A Nomogram Based on a Collagen Feature Support Vector Machine for Predicting the Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients.

BACKGROUND: The relationship between collagen features (CFs) in the tumor microenvironment and the t...

Application of the random forest algorithm to Streptococcus pyogenes response regulator allele variation: from machine learning to evolutionary models.

Group A Streptococcus (GAS) is a globally significant bacterial pathogen. The GAS genotyping gold st...

Author's Reply to: Periodic Manual Algorithm Updates and Generalizability: A Developer's Response. Comment on "Evaluation of Four Artificial Intelligence-Assisted Self-Diagnosis Apps on Three Diagnoses: Two-Year Follow-Up Study".

Image-based deep learning model for predicting pathological response in rectal cancer using post-chemoradiotherapy magnetic resonance imaging.

INTRODUCTION: To develop an image-based deep learning model for predicting pathological response in ...

Pivotal Response Treatment with and without robot-assistance for children with autism: a randomized controlled trial.

Pivotal response treatment (PRT) is a promising intervention focused on improving social communicati...

Ensemble machine learning of factors influencing COVID-19 across US counties.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) the causal agent for COVID-19, is a com...

Biomarker-Informed Machine Learning Model of Cognitive Fatigue from a Heart Rate Response Perspective.

Cognitive fatigue is a psychological state characterised by feelings of tiredness and impaired cogni...

A Comparative Study of Modulation of Neuroendocrine Stress Response by Dexmedetomidine versus Fentanyl Premedication during Laparoscopic Cholecystectomy.

INTRODUCTION: Surgical stress is the systemic response to surgical injury. Analyzing these surgical ...

Physics-informed deep learning for prediction of CO storage site response.

Accurate prediction of the CO plume migration and pressure is imperative for safe operation and econ...

Improved perioperative outcomes and reduced inflammatory stress response in malignant robot-assisted colorectal resections: a retrospective cohort study of 298 patients.

BACKGROUND: Robot-assisted surgery is increasingly implemented for the resection of colorectal cance...

Machine-intelligence for developing a potent signature to predict ovarian response to tailor assisted reproduction technology.

The prediction of poor ovarian response (POR) for stratified interference is a critical clinical iss...

Spatio-temporal graph convolutional network for diagnosis and treatment response prediction of major depressive disorder from functional connectivity.

The pathophysiology of major depressive disorder (MDD) has been explored to be highly associated wit...

Machine learning-based radiomic evaluation of treatment response prediction in glioblastoma.

AIM: To investigate machine learning based models combining clinical, radiomic, and molecular inform...

Volume of β-Bursts, But Not Their Rate, Predicts Successful Response Inhibition.

In humans, impaired response inhibition is characteristic of a wide range of psychiatric diseases an...

Imaging and liquid biopsy in the prediction and evaluation of response to PRRT in neuroendocrine tumors: implications for patient management.

PURPOSE: The aim of this narrative review is to give an overview on current and emerging imaging met...

Enzymatic preparation of phytosterol esters with fatty acids from high-oleic sunflower seed oil using response surface methodology.

Phytosterol esters are functional compounds that can effectively reduce plasma cholesterol concentra...