Improving child health through Big Data and data science
ZA Vesoulis, AN Husain, FS Cole - Pediatric research, 2023 - nature.com
Child health is defined by a complex, dynamic network of genetic, cultural, nutritional,
infectious, and environmental determinants at distinct, developmentally determined epochs …
infectious, and environmental determinants at distinct, developmentally determined epochs …
The promise of data science for health research in Africa
Data science health research promises tremendous benefits for African populations, but its
implementation is fraught with substantial ethical governance risks that could thwart the …
implementation is fraught with substantial ethical governance risks that could thwart the …
Harnessing the stem cell niche in regenerative medicine: innovative avenue to combat neurodegenerative diseases
Regenerative medicine harnesses the body's innate capacity for self-repair to restore
malfunctioning tissues and organs. Stem cell therapies represent a key regenerative …
malfunctioning tissues and organs. Stem cell therapies represent a key regenerative …
Environmental justice and the use of artificial intelligence in urban air pollution monitoring
TG Krupnova, OV Rakova, KA Bondarenko… - Big Data and Cognitive …, 2022 - mdpi.com
The main aims of urban air pollution monitoring are to optimize the interaction between
humanity and nature, to combine and integrate environmental databases, and to develop …
humanity and nature, to combine and integrate environmental databases, and to develop …
Advancing precision medicine: A review of innovative In Silico approaches for drug development, clinical pharmacology and personalized healthcare
L Marques, B Costa, M Pereira, A Silva, J Santos… - Pharmaceutics, 2024 - mdpi.com
The landscape of medical treatments is undergoing a transformative shift. Precision
medicine has ushered in a revolutionary era in healthcare by individualizing diagnostics and …
medicine has ushered in a revolutionary era in healthcare by individualizing diagnostics and …
[HTML][HTML] AI-Based Decision Support Systems in Industry 4.0, A Review
The development of modern technologies such as the Internet of Things (IoT), cloud
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
Integration of Machine Learning Algorithms with Cloud Computing for Real-Time Data Analysis
As part of this study though, real-time data analysis is examined by exploring the
combination of machine learning algorithms with cloud computing. It does so by defining …
combination of machine learning algorithms with cloud computing. It does so by defining …
[HTML][HTML] Police and hospital data linkage for traffic injury surveillance: A systematic review
This systematic review examines studies of traffic injury that involved linkage of police crash
data and hospital data and were published from 1994 to 2023 worldwide in English …
data and hospital data and were published from 1994 to 2023 worldwide in English …
Narrative review of machine learning in rheumatic and musculoskeletal diseases for clinicians and researchers: biases, goals, and future directions
AE Nelson, L Arbeeva - The Journal of rheumatology, 2022 - jrheum.org
There has been rapid growth in the use of artificial intelligence (AI) analytics in medicine in
recent years, including in rheumatic and musculoskeletal diseases (RMDs). Such methods …
recent years, including in rheumatic and musculoskeletal diseases (RMDs). Such methods …