Bioterrorism

Detection of pathologic complete response using deep neural network-based endoscopic evaluation in patients with esophageal cancer receiving neoadjuvant chemotherapy: a nationwide multicenter retrospective study from 46 Japanese esophageal centers.

BACKGROUND: Detecting pathological complete response (pCR) preoperatively facilitated a non-surgical...

Prompt architecture induces methodological artifacts in large language models.

We examine how the seemingly arbitrary way a prompt is posed, which we term "prompt architecture," i...

Predictive modeling of response to repetitive transcranial magnetic stimulation in treatment-resistant depression.

Identifying predictors of treatment response to repetitive transcranial magnetic stimulation (rTMS) ...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study.

PURPOSE: Anti-PD-1 antibodies are widely used for cancer treatment, including in advanced renal cell...

Deep learning for fetal inflammatory response diagnosis in the umbilical cord.

INTRODUCTION: Inflammation of the umbilical cord can be seen as a result of ascending intrauterine i...

Ambulance route optimization in a mobile ambulance dispatch system using deep neural network (DNN).

The ambulance dispatch system plays a crucial role in emergency medical care by ensuring efficient c...

Development and validation of an interpretable machine learning model for diagnosing pathologic complete response in breast cancer.

BACKGROUND: Pathologic complete response (pCR) following neoadjuvant chemotherapy (NACT) is a critic...

Response to the Letter to the Editor: "A Deep Learning System to Predict Epithelial Dysplasia in Oral Leukoplakia".

Machine learning modeling and response surface methodology driven antioxidant and anticancer activities of chitosan nanoparticle-mediated extracts of Bacopa monnieri.

This study investigates the potential of chitosan nanoparticles (CNPs) in enhancing the bioavailabil...

Structure and Functions of NDR1/HIN1-Like (NHL) Proteins in Plant Development and Response to Environmental Stresses.

The NON-RACE-SPECIFIC DISEASE RESISTANCE 1/harpin-induced 1-LIKE (NHL) gene family plays pivotal rol...

Dose-response association between OGTT and adverse perinatal outcomes after IVF treatment: A cohort study based on a twin population.

BACKGROUND: Investigate the association between Oral Glucose Tolerance Test (OGTT) after in vitro fe...

Identification of gene signatures associated with lactation for predicting prognosis and treatment response in breast cancer patients through machine learning.

As a newly discovered histone modification, abnormal lactation has been found to be present in and c...

Response Regarding: Generative Artificial Intelligence in Academic Surgery: Ethical Implications and Transformative Potential.

Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis.

BACKGROUND: Systemic inflammatory response syndrome (SIRS) is a frequent and serious complication of...

Response to Letter to the Editor: Conformity of ChatGPT Recommendations With the AUA/SUFU Guideline on Postprostatectomy Urinary Incontinence.

Self-supervised network predicting neoadjuvant chemoradiotherapy response to locally advanced rectal cancer patients.

Radiographic imaging is a non-invasive technique of considerable importance for evaluating tumor tre...

Delayed flowering phenology of red-flowering plants in response to hummingbird migration.

The radiation of angiosperms is marked by a phenomenal diversity of floral size, shape, color, scent...

MRI radiomics combined with delta-radiomics model for predicting pathological complete response in locally advanced rectal cancer patients after neoadjuvant chemoradiotherapy: A multi-institutional study.

PURPOSE: To construct and validate a magnetic resonance imaging (MRI) radiomics combined with delta-...

Utilizing machine learning and geographic analysis to improve Post-crash traffic injury management and emergency response systems.

Traffic injuries are a major public health concern globally. This study uses machine learning (ML) a...

Predicting response to non-invasive brain stimulation in post-stroke upper extremity motor impairment: the importance of neurophysiological and clinical biomarkers.

BACKGROUND: Non-invasive brain stimulation (NIBS) is a promising approach to enhance upper extremity...

Prediction of Clavien Dindo Classification ≥ Grade III Complications After Epithelial Ovarian Cancer Surgery Using Machine Learning Methods.

Ovarian cancer surgery requires multiple radical resections with a high risk of complications. The ...