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] AI-based decision support systems in Industry 4.0, A review

M Soori, FKG Jough, R Dastres, B Arezoo - Journal of Economy and …, 2024 - Elsevier
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 …

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 …

Building Digital Twins for Cardiovascular Health: from principles to clinical impact

K Sel, D Osman, F Zare… - Journal of the …, 2024 - ahajournals.org
The past several decades have seen rapid advances in diagnosis and treatment of
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 …

[PDF][PDF] Deep learning approaches for medical image analysis and diagnosis

GK Thakur, A Thakur, S Kulkarni, N Khan, S Khan - Cureus, 2024 - cureus.com
In addition to enhancing diagnostic accuracy, deep learning techniques offer the potential to
streamline workflows, reduce interpretation time, and ultimately improve patient outcomes …

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 …

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

CV Ibeh, OA Elufioye, T Olorunsogo… - World Journal of …, 2024 - pdfs.semanticscholar.org
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 …

Integrating machine learning with multi-omics technologies in geroscience: towards personalized medicine

N Theodorakis, G Feretzakis, L Tzelves… - Journal of Personalized …, 2024 - mdpi.com
Aging is a fundamental biological process characterized by a progressive decline in
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 …