[HTML][HTML] Polygenic risk score for cardiovascular diseases in artificial intelligence paradigm: a review

NN Khanna, M Singh, M Maindarkar… - Journal of Korean …, 2023 - synapse.koreamed.org
Cardiovascular disease (CVD) related mortality and morbidity heavily strain society. The
relationship between external risk factors and our genetics have not been well established. It …

[HTML][HTML] Leveraging state-of-the-art ai algorithms in personalized oncology: From transcriptomics to treatment

A Shams - Diagnostics, 2024 - mdpi.com
Background: Continuous breakthroughs in computational algorithms have positioned AI-
based models as some of the most sophisticated technologies in the healthcare system. AI …

[HTML][HTML] Comparison of Monkeypox and wart DNA sequences with deep learning model

TB Alakus, M Baykara - Applied Sciences, 2022 - mdpi.com
After the COVID-19 disease, monkeypox disease has emerged today and has started to be
seen almost everywhere in the world in a short time. Monkeypox causes symptoms such as …

Gene selection based cancer classification with adaptive optimization using deep learning architecture

A Das, N Neelima, K Deepa, T Özer - IEEE Access, 2024 - ieeexplore.ieee.org
Early cancer identification using gene expression data is critical for providing successful
patient care. Accurate data recognition is essential to prevent improper detection because it …

AEGA: enhanced feature selection based on ANOVA and extended genetic algorithm for online customer review analysis

G Tripathy, A Sharaff - The Journal of Supercomputing, 2023 - Springer
Sentiment analysis involves extricating and interpreting people's views, feelings, beliefs,
etc., about diverse actualities such as services, goods, and topics. People intend to …

Integration of artificial intelligence, machine learning and deep learning techniques in genomics: review on computational perspectives for NGS analysis of DNA and …

K Chandrashekar, V Niranjan, A Vishal… - Current …, 2024 - benthamdirect.com
In the current state of genomics and biomedical research, the utilization of Artificial
Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) have emerged as …

An efficient feature selection and classification system for microarray cancer data using genetic algorithm and deep belief networks

MO Lawrence, RG Jimoh, WB Yahya - Multimedia Tools and Applications, 2024 - Springer
Cancer is one of the most devastating health conditions in the world. In the diagnosis and
treatment of the various forms of cancer illness, studies have shown that early detection of …

Automated recognition of cancer tissues through deep learning framework from the photoacoustic specimen

G Sobhanan Warrier… - Contrast Media & …, 2022 - Wiley Online Library
The fast advancement of biomedical research technology has expanded and enhanced the
spectrum of diagnostic instruments. Various research groups have found optical imaging …

Bladder cancer gene expression prediction with explainable algorithms

KK Kırboğa - Neural Computing and Applications, 2024 - Springer
In this study, we aimed to classify bladder cancer patients using tumoral and non-tumoral
gene expression data. In this way, we aimed to determine which genes are effective on …

[PDF][PDF] A Novel Attack on Complex APUFs Using the Evolutionary Deep Convolutional Neural Network.

AA Shahrakht, P Hajirahimi, O Rostami… - Intelligent Automation & …, 2023 - researchgate.net
As the internet of things (IoT) continues to expand rapidly, the significance of its security
concerns has grown in recent years. To address these concerns, physical unclonable …