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Bioterrorism

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

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Unveiling the power of Treg.Sig: a novel machine-learning derived signature for predicting ICI response in melanoma.

BACKGROUND: Although immune checkpoint inhibitor (ICI) represents a significant breakthrough in canc...

FE reduced-order model-informed neural operator for structural dynamic response prediction.

Physics-Informed Neural Networks (PINN) have achieved remarkable advancements in recent years and ha...

Understanding EMS response times: a machine learning-based analysis.

BACKGROUND: Emergency Medical Services (EMS) response times are critical for optimizing patient outc...

A tumor-infiltrating B lymphocytes -related index based on machine-learning predicts prognosis and immunotherapy response in lung adenocarcinoma.

INTRODUCTION: Tumor-infiltrating B lymphocytes (TILBs) play a pivotal role in shaping the immune mic...

Identification of novel inflammatory response-related biomarkers in patients with ischemic stroke based on WGCNA and machine learning.

BACKGROUND: Ischemic stroke (IS) is one of the most common causes of disability in adults worldwide....

Artificial Intelligence (AI) and the future of Iran's Primary Health Care (PHC) system.

OBJECTIVE: The rapid adoption of Artificial Intelligence (AI) in health service delivery underscores...

Denoised recurrence label-based deep learning for prediction of postoperative recurrence risk and sorafenib response in HCC.

BACKGROUND: Pathological images of hepatocellular carcinoma (HCC) contain abundant tumor information...

Histopathology based AI model predicts anti-angiogenic therapy response in renal cancer clinical trial.

Anti-angiogenic (AA) therapy is a cornerstone of metastatic clear cell renal cell carcinoma (ccRCC) ...

Bioactivity of Juglans regia kernel extracts optimized using response surface method and artificial neural Network-Genetic algorithm integration.

In this study, the biological activities of the extracts obtained under optimum extraction condition...

Developing a seasonal-adjusted machine-learning-based hybrid time‑series model to forecast heatwave warning.

Heatwaves pose a significant threat to environmental sustainability and public health, particularly ...

Light spectrum mediated improved graft-healing response by enhanced expression of transport protein in vegetables under drought conditions.

Vegetable production faces unprecedented challenges due to a rapid change in climate. Among several ...

Liquid-bodied antibiofilm robot with switchable viscoelastic response for biofilm eradication on complex surface topographies.

Recalcitrant biofilm infections pose a great challenge to human health. Micro- and nanorobots have b...

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