Methods in molecular biology (Clifton, N.J.)
Jan 1, 2019
The ability to gain quantifiable, single-cell data from time-lapse microscopy images is dependent upon cell segmentation and tracking. Here, we present a detailed protocol for obtaining quality time-lapse movies and introduce a method to identify (se...
Say hello to molly, Florence, and Ada-they're just a few of the helpful, smart algorithm powered chatbots taking their place in health care. Chatbots are computer programs designed to carry on a dialogue with people, assisting them via text messages,...
Studies in health technology and informatics
Jan 1, 2019
In medical education Virtual Patients (VP) are often applied to train students in different scenarios such as recording the patient's medical history or deciding a treatment option. Usually, such interactions are predefined by software logic and data...
Studies in health technology and informatics
Jan 1, 2019
Many current Clinical Decision Support Systems which assist clinical diagnosis, are based on a causal condition-symptom relation. To reach more diagnostic precision Ada's Deep Reasoning is substituting this approach with the use of a model based on p...
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2019
Prevailing technological solutions that address the problems that are experienced by the infirm and elderly people in terms of locomotion needs, offer limited options when it comes to control mechanism and customization. For more than a decade, joyst...
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2019
Cancer is a complex collection of diseases that are to some degree unique to each patient. Precision oncology aims to identify the best drug treatment regime using molecular data on tumor samples. While omics-level data is becoming more widely availa...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2019
Drug-target networks have an important role in pharmaceutical innovation, drug lead discovery, and recent drug repositioning tasks. Many different in silico approaches for the identification of new drug-target interactions have been proposed, many of...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2019
Complex network representations of reported drug-drug interactions foster computational strategies that can infer pharmacological functions which, in turn, create incentives for drug repositioning. Here, we use Gephi (a platform for complex network v...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2019
Inference of gene regulatory networks (GRNs) from time series data is a well-established field in computational systems biology. Most approaches can be broadly divided in two families: model-based and model-free methods. These two families are highly...
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