Bioterrorism

Clinical intelligence: New machine learning techniques for predicting clinical drug response.

Predicting the response, or sensitivity, of a clinical drug to a specific cancer type is an important research problem. By predicting the clinical drug response correctly, clinicians are able to understand patient-to-patient differences in drug sensitivity outcomes, which in turn results in lesser time spent and lower cost associated with identifying effective drug candidates. Although technologic...

The onset and post-onset auditory responses of cochlear nucleus neurons are modulated differently by cortical activation.

Auditory cortex exhibit a capacity of modulating the functions of subcortical auditory nuclei and even inner ear through descending pathways. The cochlear nucleus (CN), which acts as the gateway from the auditory periphery to the central auditory system, is also subjected to corticofugal modulation. Cortical modulation of subcortical nuclei is highly specific to the frequency tunings of cortical a...

Leveraging Knowledge Representation to Maintain Immunization Clinical Decision Support.

Immunizations are one of the most cost-effective interventions for preventing morbidity and mortality. As vaccines, related clinical knowledge and req...

Delta activity encodes taste information in the human brain.

The categorization of food via sensing nutrients or toxins is crucial to the survival of any organism. On ingestion, rapid responses within the gustat...

Drug response prediction by ensemble learning and drug-induced gene expression signatures.

Chemotherapeutic response of cancer cells to a given compound is one of the most fundamental information one requires to design anti-cancer drugs. Rec...

Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm.

OBJECTIVES: In the postneoadjuvant chemotherapy (NAC) setting, conventional radiographic complete response (rCR) is a poor predictor of pathologic com...

Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak.

Social media are important platforms for risk communication during public health crises. Effective dissemination of accurate, relevant, and up-to-date...

Personalized response generation by Dual-learning based domain adaptation.

Open-domain conversation is one of the most challenging artificial intelligence problems, which involves language understanding, reasoning, and the ut...

Support vector machines for explaining physiological stress response in Wood mice (Apodemus sylvaticus).

Physiological stress response is a crucial adaptive mechanism for prey species survival. This paper aims to identify the main environmental and/or ind...

GWAS-based machine learning approach to predict duloxetine response in major depressive disorder.

Major depressive disorder (MDD) is one of the most prevalent psychiatric disorders and is commonly treated with antidepressant drugs. However, large v...

A review of influenza detection and prediction through social networking sites.

Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Nowadays, the web can be used for surveillance of dis...

Inflammatory bowel disease patients experiencing a loss of response to infliximab regain long-term response after undergoing granulocyte/monocyte apheresis: A case series.

Up to 50% of patients with ulcerative colitis (UC) or Crohn's disease (CD) experience a loss of response (LOR) to infliximab after an initial response...

Prevalence and Disparities in Tobacco Product Use Among American Indians/Alaska Natives - United States, 2010-2015.

An overarching goal of Healthy People 2020 is to achieve health equity, eliminate disparities, and improve health among all groups.* Although signific...

Modeling the control of the central nervous system over the cardiovascular system using support vector machines.

The control of the central nervous system (CNS) over the cardiovascular system (CS) has been modeled using different techniques, such as fuzzy inducti...

The Metabolic Response of Skeletal Muscle to Endurance Exercise Is Modified by the ACE-I/D Gene Polymorphism and Training State.

The insertion/deletion polymorphism in the gene for the regulator of vascular tone, angiotensin-converting enzyme (ACE), is the prototype of a genetic...

Statistics of Visual Responses to Image Object Stimuli from Primate AIT Neurons to DNN Neurons.

Under the goal-driven paradigm, Yamins et al. ( 2014 ; Yamins & DiCarlo, 2016 ) have shown that by optimizing only the final eight-way categorization ...

Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.

Machine learning methods have been applied to many data sets in pharmaceutical research for several decades. The relative ease and availability of fin...

Embodiment and Estrangement: Results from a First-in-Human "Intelligent BCI" Trial.

While new generations of implantable brain computer interface (BCI) devices are being developed, evidence in the literature about their impact on the ...

Co-stimulation of the fc receptor and interleukin-12 receptor on human natural killer cells leads to increased expression of cd25.

Natural killer (NK) cells serve a critical role in the immune response against microbes and developing tumors. We have demonstrated that NK cells prod...

Upgrade Combination Response Is Limited by Prolonged Nucelos(t)ide Analogue Therapy in HBeAg-positive Chronic Hepatitis B: A Real-life Study.

Few previous studies have reported on a combination response (hepatitis B virus (HBV) DNA undetected, alanine aminotransferase normalization and hepa...