Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
Importance of investing in adolescence from a developmental science perspective
This review summarizes the case for investing in adolescence as a period of rapid growth,
learning, adaptation, and formational neurobiological development. Adolescence is a …
learning, adaptation, and formational neurobiological development. Adolescence is a …
Precision medicine: from science to value
Precision medicine is making an impact on patients, health care delivery systems, and
research participants in ways that were only imagined fifteen years ago when the human …
research participants in ways that were only imagined fifteen years ago when the human …
Towards a genomics-informed, real-time, global pathogen surveillance system
Abstract The recent Ebola and Zika epidemics demonstrate the need for the continuous
surveillance, rapid diagnosis and real-time tracking of emerging infectious diseases. Fast …
surveillance, rapid diagnosis and real-time tracking of emerging infectious diseases. Fast …
Priorities for successful use of artificial intelligence by public health organizations: a literature review
Artificial intelligence (AI) has the potential to improve public health's ability to promote the
health of all people in all communities. To successfully realize this potential and use AI for …
health of all people in all communities. To successfully realize this potential and use AI for …
Social vulnerability and premature cardiovascular mortality among US counties, 2014 to 2018
Background: Substantial differences exist between United States counties with regards to
premature (< 65 years of age) cardiovascular disease (CVD) mortality. Whether underlying …
premature (< 65 years of age) cardiovascular disease (CVD) mortality. Whether underlying …
Opportunities and challenges in using real-world data for health care
Real-world data (RWD) continue to emerge as a new source of clinical evidence. Although
the best-known use case of RWD has been in drug regulation, RWD are being generated …
the best-known use case of RWD has been in drug regulation, RWD are being generated …
Cancer screening and early detection in the 21st century
JT Loud, J Murphy - Seminars in oncology nursing, 2017 - Elsevier
Objective To review the trends in and principles of cancer screening and early detection.
Data Sources Journal articles, United States Preventive Services Task Force (USPSTF) …
Data Sources Journal articles, United States Preventive Services Task Force (USPSTF) …
Big data and the united nations sustainable development goals (UN SDGs) at a glance
The launch of the United Nations (UN) 17 Sustainable Development Goals (SDGs) in 2015
was a historic event, uniting countries around the world around the shared agenda of …
was a historic event, uniting countries around the world around the shared agenda of …
Precision health: the role of the social and behavioral sciences in advancing the vision
E Hekler, JA Tiro, CM Hunter… - Annals of Behavioral …, 2020 - academic.oup.com
Abstract Background In 2015, Collins and Varmus articulated a vision for precision medicine
emphasizing molecular characterization of illness to identify actionable biomarkers to …
emphasizing molecular characterization of illness to identify actionable biomarkers to …