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 …

Introduction Reporting and sharing pharmacogenetic test results across clinical laboratories
and electronic health records is a crucial step toward the implementation of clinical …

Today's health system runs on data. Patients and doctors complain about the proportion of
time during a patient appointment that is spent entering data into the doctor's computer, but …

The Clinical Genome Resource (ClinGen) is a National Institutes of Health (NIH)‐funded
collaborative program that brings together a variety of projects designed to provide high …

醫療健康信息由於其巨大的價值與發展潛力收到了諸多的關注. 在深入研究探討醫療健康信息
特點與發展規律, 提高對醫療健康信息價值認識的同時, 醫療健康信息由於其自身的特殊性對其 …

A integração das Tecnologias de Informação e Comunicação na área da saúde criou
oportunidades para a utilização de tecnologias analítico-preditivas de Big Data como …

Recent advances in genetic sequencing technologies and analysis tools have made
genomic data widely available for medical research. Despite the expectation that genomic …

Abstract Systems medicine is the consequent continuation of research efforts on the road to
an individualized medicine. Thereby, systems medicine tries to offer a holistic view on the …

Building of an accurate predictive model of clinical time series for a patient is critical for
understanding of the patient condition, its dynamics, and optimal patient management …

Recent years have witnessed a dramatic increase in digital information and connected
devices, but constant revelations about hacks make painfully clear that security has not kept …