[HTML][HTML] A bibliometric analysis of technology in sustainable healthcare: Emerging trends and future directions

IK Nti, AF Adekoya, BA Weyori, F Keyeremeh - Decision Analytics Journal, 2023 - Elsevier
Technology application in healthcare is a recent field devoted to sustainability in the
healthcare industry. However, research in this sector has grown at a rapid pace. While this …

Systems Biology in Cancer Diagnosis Integrating Omics Technologies and Artificial Intelligence to Support Physician Decision Making

A Fawaz, A Ferraresi, C Isidoro - Journal of Personalized Medicine, 2023 - mdpi.com
Cancer is the second major cause of disease-related death worldwide, and its accurate
early diagnosis and therapeutic intervention are fundamental for saving the patient's life …

[HTML][HTML] Artificial intelligence in cancer care: From diagnosis to prevention and beyond

M Farrokhi, A Moeini, F Taheri, M Farrokhi, M Mostafavi… - Kindle, 2023 - preferpub.org
Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care,
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …

[HTML][HTML] Role of precision medicine and personalized medicine in the treatment of diseases

M Farrokhi, F Taheri, PJ Khouzani, E Rahmani… - Kindle, 2023 - preferpub.org
Precision medicine and personalized medicine are two approaches to healthcare that aim to
tailor medical treatments and interventions to individual patients. These approaches are …

Personalized Plasma Medicine for Cancer: Transforming Treatment Strategies with Mathematical Modeling and Machine Learning Approaches

VD Ramaswamy, M Keidar - Applied Sciences, 2023 - mdpi.com
Featured Application Complexity, heterogeneity, and treatment resistance of cancers create
challenges in achieving successful treatment outcomes. Personalized cold atmospheric …

Navigating the Immune Maze: Pioneering Strategies for Unshackling Cancer Immunotherapy Resistance

L Yao, Q Wang, W Ma - Cancers, 2023 - mdpi.com
Simple Summary Cancer treatments have made remarkable advances with the introduction
of immunotherapy, which recruits the body's immune system to fight cancer. Despite these …

[PDF][PDF] Role of Deep Learning in Diagnosis, Treatment, and Prognosis of Oncological Conditions

M Umar, A Shiwlani, F Saeed, A Ahmad… - International …, 2023 - researchgate.net
Abstracts: Deep learning, a branch of artificial intelligence, excavates massive data sets for
patterns and predictions using a machine learning method known as artificial neural …

Artificial intelligence in cancer diagnosis: Opportunities and challenges

M Alshuhri, SG Al-Musawi, AA Al-Alwany… - … -Research and Practice, 2023 - Elsevier
Since cancer is one of the world's top causes of death, early diagnosis is critical to improving
patient outcomes. Artificial intelligence (AI) has become a viable technique for cancer …

[HTML][HTML] Artificial Intelligence for Clinical Prediction: Exploring Key Domains and Essential Functions

M Khalifa, M Albadawy - Computer Methods and Programs in Biomedicine …, 2024 - Elsevier
Background Clinical prediction is integral to modern healthcare, leveraging current and
historical medical data to forecast health outcomes. The integration of Artificial Intelligence …

Stack-AAgP: Computational prediction and interpretation of anti-angiogenic peptides using a meta-learning framework

S Gaffar, H Tayara, KT Chong - Computers in Biology and Medicine, 2024 - Elsevier
Background: Angiogenesis plays a vital role in the pathogenesis of several human diseases,
particularly in the case of solid tumors. In the realm of cancer treatment, recent investigations …