Bioterrorism

Mapping the plague through natural language processing.

Pandemic diseases such as plague have produced a vast amount of literature providing information abo...

Deep multiple instance learning for predicting chemotherapy response in non-small cell lung cancer using pretreatment CT images.

The individual prognosis of chemotherapy is quite different in non-small cell lung cancer (NSCLC). T...

Deep learning system for paddy plant disease detection and classification.

Automatic detection and analysis of rice crop diseases is widely required in the farming industry, w...

Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution.

Cancer centers have an urgent and unmet clinical and research need for AI that can guide patient man...

Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study.

BACKGROUND: This study, based on multicentre cohorts, aims to utilize computed tomography (CT) image...

Neurology education in the era of artificial intelligence.

PURPOSE OF REVIEW: The practice of neurology is undergoing a paradigm shift because of advances in t...

Artificial intelligence for prediction of response to cancer immunotherapy.

Artificial intelligence (AI) indicates the application of machines to imitate intelligent behaviors ...

Neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials.

Soft exosuits offer promise to support users in everyday workload tasks by providing assistance. How...

A systematic literature review for the prediction of anticancer drug response using various machine-learning and deep-learning techniques.

Computational methods have gained prominence in healthcare research. The accessibility of healthcare...

Ferrobotic swarms enable accessible and adaptable automated viral testing.

Expanding our global testing capacity is critical to preventing and containing pandemics. Accordingl...

Kinematics Calibration and Validation Approach Using Indoor Positioning System for an Omnidirectional Mobile Robot.

Monitoring and tracking issues related to autonomous mobile robots are currently intensively debated...

Fractional transit compartment model for describing drug delayed response to tumors using Mittag-Leffler distribution on age-structured PKPD model.

The response of a cell population is often delayed relative to drug injection, and individual cells ...

Three-dimensional inversion analysis of transient electromagnetic response signals of water-bearing abnormal bodies in tunnels based on numerical characteristic parameters.

The transient electromagnetic inversion of detection signals mainly depends on fast inversion in the...

Applying interpretable machine learning workflow to evaluate exposure-response relationships for large-molecule oncology drugs.

The application of logistic regression (LR) and Cox Proportional Hazard (CoxPH) models are well-esta...

Deep learning-based imaging reconstruction for MRI after neoadjuvant chemoradiotherapy for rectal cancer: effects on image quality and assessment of treatment response.

PURPOSE: To investigate the effects of deep learning-based imaging reconstruction (DLR) on the image...

Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer：A multicenter study.

INTRODUCTION: Predicting pathological complete response (pCR) for patients receiving neoadjuvant che...

Deep Transfer Learning for COVID-19 Detection and Lesion Recognition Using Chest CT Images.

Starting from December 2019, the global pandemic of coronavirus disease 2019 (COVID-19) is continuou...

Emerging Magnetic Fabrication Technologies Provide Controllable Hierarchically-Structured Biomaterials and Stimulus Response for Biomedical Applications.

Multifunctional nanocomposites which exhibit well-defined physical properties and encode spatiotempo...

Identification of blood species based on surface-enhanced Raman scattering spectroscopy and convolutional neural network.

The identification of blood species is of great significance in many aspects such as forensic scienc...

Artificial intelligence-informed planning for the rapid response of hazard-impacted road networks.

Post-hazard rapid response has emerged as a promising pathway towards resilient critical infrastruct...

Response Regarding: Robotic Cholecystectomies: What Are They Good for? A Retrospective Study of Robotic Versus Conventional Cases.