State Required CME

Bioterrorism

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

1,532 articles
Stay Ahead - Weekly Bioterrorism research updates
Subscribe
Browse Specialties
Showing 358-378 of 1,532 articles
Integration of SPEI and machine learning for assessing the characteristics of drought in the middle ganga plain, an agro-climatic region of India.

Drought, as a natural and intricate climatic phenomenon, poses challenges with implications for both...

Prediction of hepatocellular carcinoma response to radiation segmentectomy using an MRI-based machine learning approach.

PURPOSE: To evaluate the value of pre-treatment MRI-based radiomics in patients with hepatocellular ...

Predicting maintenance lithium response for bipolar disorder from electronic health records-a retrospective study.

BACKGROUND: Optimising maintenance drug treatment selection for people with bipolar disorder is chal...

Sex dimorphism and hormesis response to polystyrene microplastic exposure in kinematics and metabolism of Drosophila model based on deep learning.

The emergence of microplastics (MPs) has become a significant focus of environmental pollution, prom...

Artificial Intelligence for Prediction of Shunt Response in Idiopathic Normal Pressure Hydrocephalus: A Systematic Review.

BACKGROUND: Idiopathic normal pressure hydrocephalus (iNPH) is a reversible cause of dementia, typic...

Machine learning models for predicting treatment response in infantile epilepsies.

UNLABELLED: Epilepsy stands as one of the prevalent and significant neurological disorders, represen...

Particle formation in response to different protein formulations and containers: Insights from machine learning analysis of particle images.

Subvisible particle count is a biotherapeutics stability indicator widely used by pharmaceutical ind...

Prediction of pathological complete response to chemotherapy for breast cancer using deep neural network with uncertainty quantification.

BACKGROUND: The I-SPY 2 trial is a national-wide, multi-institutional clinical trial designed to eva...

Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning.

BACKGROUND: Lung cancer (LC) is a leading cause of cancer-related mortality, and immunotherapy (IO) ...

Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency.

BACKGROUND & OBJECTIVES: Mental health disorders pose an increasing public health challenge worsened...

Decoding the impact of neighboring amino acids on ESI-MS intensity output through deep learning.

Peptide-level quantification using mass spectrometry (MS) is no trivial task as the physicochemical ...

Browse Specialties