Intercultural learning in diverse schools: obstacles, opportunities, and outlooks

Health Tourism: Opportunities, Constraints, Obstacles and Solutions

Opportunities and obstacles for deep learning in biology and medicine.

Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains. Biology and medicine are data-rich disciplines, but the data are complex and often ill-understood. Hence, deep learning techniques may be particularly well suited to solv...

Obstacles and Opportunities

Management theory teaches that successful innovation requires concomitant changes among the system ’ s components to achieve congruence or fi t . 1 Similar thinking has been applied to changing the U.S. health care system. 2 In recent years, there has been growing recognition that payment reform of the U.S. health care system must be accompanied by corresponding reforms in the delivery system. ...

Learning from Multiple Outlooks

We propose a novel problem formulation of learning a single task when the data are provided in different feature spaces. Each such space is called an outlook, and is assumed to contain both labeled and unlabeled data. The objective is to take advantage of the data from all the outlooks to better classify each of the outlooks. We devise an algorithm that computes optimal affine mappings from dif...

Neuroepigenomics: resources, obstacles, and opportunities

Long-lived post-mitotic cells, such as the majority of human neurons, must respond effectively to ongoing changes in neuronal stimulation or microenvironmental cues through transcriptional and epigenomic regulation of gene expression. The role of epigenomic regulation in neuronal function is of fundamental interest to the neuroscience community, as these types of studies have transformed our un...