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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 …
Omics-based investigations of breast cancer
Breast cancer (BC) is characterized by an extensive genotypic and phenotypic
heterogeneity. In-depth investigations into the molecular bases of BC phenotypes …
heterogeneity. In-depth investigations into the molecular bases of BC phenotypes …
Building Digital Twins for Cardiovascular Health: from principles to clinical impact
The past several decades have seen rapid advances in diagnosis and treatment of
cardiovascular diseases and stroke, enabled by technological breakthroughs in imaging …
cardiovascular diseases and stroke, enabled by technological breakthroughs in imaging …
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 …
healthcare has garnered significant attention in recent years, especially as a result of their …
[PDF][PDF] Deep learning approaches for medical image analysis and diagnosis
In addition to enhancing diagnostic accuracy, deep learning techniques offer the potential to
streamline workflows, reduce interpretation time, and ultimately improve patient outcomes …
streamline workflows, reduce interpretation time, and ultimately improve patient outcomes …
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 …
[PDF][PDF] Data analytics in healthcare: A review of patient-centric approaches and healthcare delivery
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 …
new era of personalized and patient-centric approaches to healthcare delivery. This review …
Integrating machine learning with multi-omics technologies in geroscience: towards personalized medicine
Aging is a fundamental biological process characterized by a progressive decline in
physiological functions and an increased susceptibility to diseases. Understanding aging at …
physiological functions and an increased susceptibility to diseases. Understanding aging at …
Transplanting network pharmacology technology into food science research: A comprehensive review on uncovering food‐sourced functional factors and their health …
Q Shen, L Ge, W Lu, H Wu, L Zhang… - … Reviews in Food …, 2024 - Wiley Online Library
Network pharmacology is an emerging interdisciplinary research method. The application of
network pharmacology to reveal the nutritional effects and mechanisms of active ingredients …
network pharmacology to reveal the nutritional effects and mechanisms of active ingredients …