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Bioterrorism

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

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Artificial Intelligence Estimates the Importance of Baseline Factors in Predicting Response to Anti-PD1 in Metastatic Melanoma.

OBJECTIVE: Prognosis of patients with metastatic melanoma has dramatically improved over recent year...

MOLI: multi-omics late integration with deep neural networks for drug response prediction.

MOTIVATION: Historically, gene expression has been shown to be the most informative data for drug re...

Context matters: using reinforcement learning to develop human-readable, state-dependent outbreak response policies.

The number of all possible epidemics of a given infectious disease that could occur on a given lands...

EEG-Based Classification of Olfactory Response to Pleasant Stimuli.

Olfactory perception involves complex processing distributed along several cortical and sub-cortical...

Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers.

INTRODUCTION: Immunotherapy is regarded as one of the major breakthroughs in cancer treatment. Despi...

Brain stimulation to left prefrontal cortex modulates attentional orienting to gaze cues.

In social interactions, we rely on non-verbal cues like gaze direction to understand the behaviour o...

Deep Learning Approach for Assessment of Bladder Cancer Treatment Response.

We compared the performance of different Deep learning-convolutional neural network (DL-CNN) models ...

CHANGES IN IRISIN RELEASE IN RESPONSE TO PERIPHERAL KISSPEPTIN-10 ADMINISTRATION IN HEALTHY AND OBESE ADULT MEN.

CONTEXT: Kisspeptin role in metabolism has been implicated recently. However, the nature of the sign...

Real-time Epidemic Forecasting: Challenges and Opportunities.

Infectious disease outbreaks play an important role in global morbidity and mortality. Real-time epi...

Effects of diet before endurance exercise on hepcidin response in young untrained females.

PURPOSE: We examined the effects of diet before endurance exercise on hepcidin response in young unt...

Combined multivariate analysis and machine learning reveals a predictive module of metabolic stress response in Arabidopsis thaliana.

Abiotic stress exposure of plants induces metabolic reprogramming which is tightly regulated by sign...

[A Case of Pathologically Complete Response in Ruptured Hepatocellular Carcinoma Treated with Transcatheter Arterial Embolization].

We report a case of pathologicallycomplete response in ruptured hepatocellular carcinoma(HCC)treated...

Response to Comment on "Predicting reaction performance in C-N cross-coupling using machine learning".

We demonstrate that the chemical-feature model described in our original paper is distinguishable fr...

Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks.

BACKGROUND: It is unclear whether radiomic phenotypes of brain metastases (BM) are related to radiat...

Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports.

A significant volume of medical data remains unstructured. Natural language processing (NLP) and mac...

Robotic investigation on effect of stretch reflex and crossed inhibitory response on bipedal hopping.

To maintain balance during dynamic locomotion, the effects of proprioceptive sensory feedback contro...

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