Omics-based investigations of breast cancer

AN Neagu, D Whitham, P Bruno, H Morrissiey… - Molecules, 2023 - mdpi.com
Breast cancer (BC) is characterized by an extensive genotypic and phenotypic
heterogeneity. In-depth investigations into the molecular bases of BC phenotypes …

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 …

The promise of data science for health research in Africa

CA Adebamowo, S Callier, S Akintola… - Nature …, 2023 - nature.com
Data science health research promises tremendous benefits for African populations, but its
implementation is fraught with substantial ethical governance risks that could thwart the …

Data analytics in healthcare: A review of patient-centric approaches and healthcare delivery

CV Ibeh, OA Elufioye, T Olorunsogo, OF Asuzu… - World Journal of …, 2024 - wjarr.com
The integration of data analytics in healthcare has revolutionized the industry, ushering in a
new era of personalized and patient-centric approaches to healthcare delivery. This review …

Harnessing the stem cell niche in regenerative medicine: innovative avenue to combat neurodegenerative diseases

G Velikic, DM Maric, DL Maric, G Supic… - International journal of …, 2024 - mdpi.com
Regenerative medicine harnesses the body's innate capacity for self-repair to restore
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 …

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 …

[HTML][HTML] Police and hospital data linkage for traffic injury surveillance: A systematic review

A Soltani, JE Harrison, C Ryder, J Flavel… - Accident Analysis & …, 2024 - Elsevier
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 …

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 …

Machine learning approaches to predict asthma exacerbations: A narrative review

NA Molfino, G Turcatel, D Riskin - Advances in Therapy, 2024 - Springer
The implementation of artificial intelligence (AI) and machine learning (ML) techniques in
healthcare has garnered significant attention in recent years, especially as a result of their …