Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML
Abstract Internet of Medical Things (IoMT) supports traditional healthcare systems by
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …
Overcoming barriers to physical activity in underserved populations
There is compelling evidence suggesting underserved populations, including racial/ethnic
minorities and individuals with low socioeconomic status, are less likely to partake in …
minorities and individuals with low socioeconomic status, are less likely to partake in …
Nanotechnology for a sustainable future: Addressing global challenges with the international network4sustainable nanotechnology
Nanotechnology has important roles to play in international efforts in sustainability. We
discuss how current and future capabilities in nanotechnology align with and support the …
discuss how current and future capabilities in nanotechnology align with and support the …
From hype to reality: data science enabling personalized medicine
Abstract Background Personalized, precision, P4, or stratified medicine is understood as a
medical approach in which patients are stratified based on their disease subtype, risk …
medical approach in which patients are stratified based on their disease subtype, risk …
[HTML][HTML] One digital health: a unified framework for future health ecosystems
One Digital Health is a proposed unified structure. The conceptual framework of the One
Digital Health Steering Wheel is built around two keys (ie, One Health and digital health) …
Digital Health Steering Wheel is built around two keys (ie, One Health and digital health) …
Against predictive optimization: On the legitimacy of decision-making algorithms that optimize predictive accuracy
We formalize predictive optimization, a category of decision-making algorithms that use
machine learning (ML) to predict future outcomes of interest about individuals. For example …
machine learning (ML) to predict future outcomes of interest about individuals. For example …
Metabolomics for personalized medicine: the input of analytical chemistry from biomarker discovery to point-of-care tests
FA Castelli, G Rosati, C Moguet, C Fuentes… - Analytical and …, 2022 - Springer
Metabolomics refers to the large-scale detection, quantification, and analysis of small
molecules (metabolites) in biological media. Although metabolomics, alone or combined …
molecules (metabolites) in biological media. Although metabolomics, alone or combined …
[HTML][HTML] Monitoring wastewater for assessing community health: Sewage Chemical-Information Mining (SCIM)
CG Daughton - Science of The Total Environment, 2018 - Elsevier
Timely assessment of the aggregate health of small-area human populations is essential for
guiding the optimal investment of resources needed for preventing, avoiding, controlling, or …
guiding the optimal investment of resources needed for preventing, avoiding, controlling, or …
Human genomics projects and precision medicine
F Carrasco-Ramiro, R Peiró-Pastor, B Aguado - Gene therapy, 2017 - nature.com
The completion of the Human Genome Project (HGP) in 2001 opened the floodgates to a
deeper understanding of medicine. There are dozens of HGP-like projects which involve …
deeper understanding of medicine. There are dozens of HGP-like projects which involve …
Digital twins and the emerging science of self: implications for digital health experience design and “small” data
SM Schwartz, K Wildenhaus, A Bucher… - Frontiers in Computer …, 2020 - frontiersin.org
The technology currently available for quantifying various biometric, behavioral, emotional,
cognitive, and psychological aspects of daily life has become increasingly diverse, accurate …
cognitive, and psychological aspects of daily life has become increasingly diverse, accurate …