Genomic approaches to identify and investigate genes associated with atrial fibrillation and heart failure susceptibility
KK Patel, C Venkatesan, H Abdelhalim, S Zeeshan… - Human genomics, 2023 - Springer
Atrial fibrillation (AF) and heart failure (HF) contribute to about 45% of all cardiovascular
disease (CVD) deaths in the USA and around the globe. Due to the complex nature …
disease (CVD) deaths in the USA and around the globe. Due to the complex nature …
IntelliGenes: a novel machine learning pipeline for biomarker discovery and predictive analysis using multi-genomic profiles
In this article, we present IntelliGenes, a novel machine learning (ML) pipeline for the multi-
genomics exploration to discover biomarkers significant in disease prediction with high …
genomics exploration to discover biomarkers significant in disease prediction with high …
Role of genome-wide association studies, polygenic risk score and AI/ML using big data for personalized treatment to the patients with cardiovascular disease
H Abdelhalim, RM Hunter, W DeGroat… - Future Medicine …, 2023 - Taylor & Francis
Role of genome-wide association studies, polygenic risk score and AI/ML using big data for
personalized treatment to the patients with cardiovascular disease | Future Medicine AI Future …
personalized treatment to the patients with cardiovascular disease | Future Medicine AI Future …
Decoding Bilingual EEG Signals With Complex Semantics Using Adaptive Graph Attention Convolutional Network
Decoding neural signals of silent reading with Brain-Computer Interface (BCI) techniques
presents a fast and intuitive communication method for severely aphasia patients …
presents a fast and intuitive communication method for severely aphasia patients …
Optimised stacked machine learning algorithms for genomics and genetics disorder detection in the healthcare industry
With recent advances in precision medicine and healthcare computing, there is an
enormous demand for developing machine learning algorithms in genomics to enhance the …
enormous demand for developing machine learning algorithms in genomics to enhance the …
AI-Driven Decision-Making Applications in Pharmaceutical Sciences
B Yingngam, A Navabhatra… - Using Traditional Design …, 2024 - igi-global.com
This chapter explores AI's influence on pharmaceutical sciences, highlighting its
enhancement of traditional design methodologies. It explores AI's transformational role in …
enhancement of traditional design methodologies. It explores AI's transformational role in …