AI in drug discovery and its clinical relevance

R Qureshi, M Irfan, TM Gondal, S Khan, J Wu, MU Hadi… - Heliyon, 2023 - cell.com
The COVID-19 pandemic has emphasized the need for novel drug discovery process.
However, the journey from conceptualizing a drug to its eventual implementation in clinical …

A comprehensive systematic review of YOLO for medical object detection (2018 to 2023)

MG Ragab, SJ Abdulkader, A Muneer… - IEEE …, 2024 - ieeexplore.ieee.org
YOLO (You Only Look Once) is an extensively utilized object detection algorithm that has
found applications in various medical object detection tasks. This has been accompanied by …

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues

A Rahman, MS Hossain, G Muhammad, D Kundu… - Cluster computing, 2023 - Springer
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …

Artificial intelligence and biosensors in healthcare and its clinical relevance: A review

R Qureshi, M Irfan, H Ali, A Khan, AS Nittala, S Ali… - IEEE …, 2023 - ieeexplore.ieee.org
Data generated from sources such as wearable sensors, medical imaging, personal health
records, and public health organizations have resulted in a massive information increase in …

[HTML][HTML] Dysregulated signalling pathways driving anticancer drug resistance

N Bou Antoun, AM Chioni - International journal of molecular sciences, 2023 - mdpi.com
One of the leading causes of death worldwide, in both men and women, is cancer. Despite
the significant development in therapeutic strategies, the inevitable emergence of drug …

Deep machine learning for medical diagnosis, application to lung cancer detection: a review

HT Gayap, MA Akhloufi - BioMedInformatics, 2024 - mdpi.com
Deep learning has emerged as a powerful tool for medical image analysis and diagnosis,
demonstrating high performance on tasks such as cancer detection. This literature review …

An extensive review on lung cancer therapeutics using machine learning techniques: state-of-the-art and perspectives

S Ahmad, K Raza - Journal of drug targeting, 2024 - Taylor & Francis
There are over 100 types of human cancer, accounting for millions of deaths every year.
Lung cancer alone claims over 1.8 million lives per year and is expected to surpass 3.2 …

Application of artificial intelligence in drug design: A review

S Singh, N Kaur, A Gehlot - Computers in Biology and Medicine, 2024 - Elsevier
Artificial intelligence (AI) is a field of computer science that involves acquiring information,
develo** rule bases, and mimicking human behaviour. The fundamental concept behind …

A review of biosensors and artificial intelligence in healthcare and their clinical significance

Y Hayat, M Tariq, A Hussain, A Tariq… - … Research Journal of …, 2024 - irjems.org
In the past decade, a substantial increase in medical data from various sources, including
wearable sensors, medical imaging, personal health records, and public health …

Machine learning based personalized drug response prediction for lung cancer patients

R Qureshi, SA Basit, JA Shamsi, X Fan, M Nawaz… - Scientific Reports, 2022 - nature.com
Lung cancers with a mutated epidermal growth factor receptor (EGFR) are a major
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …