Recent progress in machine learning approaches for predicting carcinogenicity in drug development
Introduction This review explores the transformative impact of machine learning (ML) on
carcinogenicity prediction within drug development. It discusses the historical context and …
carcinogenicity prediction within drug development. It discusses the historical context and …
Artificial intelligence for risk assessment on primary prevention of coronary artery disease
Abstract Purpose of Review Coronary artery disease (CAD) is a common and etiologically
complex disease worldwide. Current guidelines for primary prevention, or the prevention of …
complex disease worldwide. Current guidelines for primary prevention, or the prevention of …
Artificial Intelligence Applications in Healthcare
Artificial intelligence (AI) is being used more often across numerous sectors, including
healthcare. Researchers and professionals are interested in (AI) application in the …
healthcare. Researchers and professionals are interested in (AI) application in the …
Tinyml design contest for life-threatening ventricular arrhythmia detection
The first ACM/IEEE TinyML Design Contest (TDC) held at the 41st International Conference
on Computer-Aided Design (ICCAD) in 2022 is a challenging, multimonth, research and …
on Computer-Aided Design (ICCAD) in 2022 is a challenging, multimonth, research and …
A focus on harnessing big data and artificial intelligence: revolutionizing drug discovery from traditional Chinese medicine sources
M Li, J Zhang - Chemical Science, 2023 - pubs.rsc.org
The advent of big data-driven artificial intelligence (AI) modeling has profoundly impacted
the realm of drug discovery. Chen et al.(Q. Lv et al., Chem. Sci., 2023, https://doi …
the realm of drug discovery. Chen et al.(Q. Lv et al., Chem. Sci., 2023, https://doi …
Fl-nas: Towards fairness of nas for resource constrained devices via large language models
Neural Architecture Search (NAS) has become the de fecto tools in the industry in
automating the design of deep neural networks for various applications, especially those …
automating the design of deep neural networks for various applications, especially those …
Large language models leverage external knowledge to extend clinical insight beyond language boundaries
Abstract Objectives Large Language Models (LLMs) such as ChatGPT and Med-PaLM have
excelled in various medical question-answering tasks. However, these English-centric …
excelled in various medical question-answering tasks. However, these English-centric …
Awareness of artificial intelligence: diffusion of AI versus ChatGPT information with implications for entrepreneurship
RK Goel, MA Nelson - The Journal of Technology Transfer, 2024 - Springer
This paper addresses the awareness of artificial intelligence across states in the United
States. We uniquely create indices of Google internet search results for general AI …
States. We uniquely create indices of Google internet search results for general AI …
[HTML][HTML] Advancing Cancer Care: How Artificial Intelligence is Transforming Oncology Pharmacy
AN Shahbar, I Alrumaih, T Alzahrani… - Informatics in Medicine …, 2024 - Elsevier
This article explores the transformative impact of Artificial Intelligence (AI) in oncology
pharmacy. Oncology pharmacists, traditionally pivotal to cancer management, are now …
pharmacy. Oncology pharmacists, traditionally pivotal to cancer management, are now …
Precision epidemiology at the nexus of mathematics and nanotechnology: Unraveling the dance of viral dynamics
The intersection of mathematical modeling, nanotechnology, and epidemiology marks a
paradigm shift in our battle against infectious diseases, aligning with the focus of the journal …
paradigm shift in our battle against infectious diseases, aligning with the focus of the journal …