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Bioterrorism

Latest AI and machine learning research in bioterrorism for healthcare professionals.

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Discovering Pediatric Asthma Phenotypes on the Basis of Response to Controller Medication Using Machine Learning.

RATIONALE: Pediatric asthma has variable underlying inflammation and symptom control. Approaches to ...

[Effect of Recombinant Antigen Ferritin on DC Induce Immune Response].

OBJECTIVE: To explore the immunoreaction against protoscolex infection by the recombinant ferritin o...

Model-based unsupervised learning informs metformin-induced cell-migration inhibition through an AMPK-independent mechanism in breast cancer.

We demonstrate that model-based unsupervised learning can uniquely discriminate single-cell subpopul...

Optimization of Culture Conditions for Enrichment of with Dl-α-Tocopherol by Response Surface Methodology.

Designing enriched probiotic supplements may have some advantages including protection of probiotic ...

Medium Optimization for Recombinant Soluble Arginine Deiminase Expression in Escherichia coli Using Response Surface Methodology.

OBJECTIVE: Optimization of the medium for recombinant arginine deiminase production in E. coli was p...

[MiR-142-3p inhibits lipopolysaccharide-induced inflammatory response in human periodontal ligament cells through targeting IRAK1].

PURPOSE: To investigate the effects of miR-142-3p overexpression on secretion of inflammatory factor...

Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network-A Pilot Study.

Assessing the response of bladder cancer to neoadjuvant chemotherapy is crucial for reducing morbidi...

Deep neural network architectures for forecasting analgesic response.

Response to prescribed analgesic drugs varies between individuals, and choosing the right drug/dose ...

Evaluation of a Technology-Based Adaptive Learning and Prevention Program for Stress Response-A Randomized Controlled Trial.

To prevent deployment-related disorders, Chaos Driven Situations Management Retrieval System (CHARLY...

A connectionist modeling study of the neural mechanisms underlying pain's ability to reorient attention.

Connectionist modeling was used to investigate the brain mechanisms responsible for pain's ability t...

Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach.

PURPOSE: This study demonstrated the ability of quantitative ultrasound (QUS) parameters in providin...

Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data.

IMPORTANCE: Electroconvulsive therapy (ECT) is one of the most effective treatments for severe depre...

A chemotherapy response classifier based on support vector machines for high-grade serous ovarian carcinoma.

Long-term outcome of high-grade serous epithelial ovarian carcinoma (HGSOC) remains poor as a result...

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