Machine learning (ML) has significantly transformed biomedical research, leading to a growing interest in model development to advance classification accuracy in various clinical applications. However, this progress raises essential questions regardi... read more
This study evaluates the impacts of projected sea level rise (SLR) on coastal flooding across major Indian cities: Mumbai, Kolkata, Chennai, Visakhapatnam, Surat, Kochi, Thiruvananthapuram, and Mangaluru. Machine learning models, including Long Short... read more
IMPORTANCE: How the Intelligent Continuous Expertise Monitoring System, an artificial intelligence tutoring system, might be best optimized for surgical training is unknown. read more
Journal of computer-aided molecular design
Aug 6, 2025
In light of the increasing interest in G9a's role in neuroscience, three machine learning (ML) models, that are time efficient and cost effective, were developed to support researchers in this area. The models are based on data provided by PubChem an... read more
BACKGROUND: Artificial Intelligence (AI) can empower clinicians to make data-driven decisions, treatments and streamline administrative tasks. However, it is vital to understand their perception towards AI for seamless implementation in practice. The... read more
The skin, a complex ecosystem, hosts diverse microorganisms that interact with the immune system and influence physiological processes. This study investigates the effects of Bifidobacterium, isolated from skin microbiota, on glucagon-like peptide-1 ... read more
Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic inequalities and limited access to screening infrastructure, which requires equitable diagnostic solutions. As researchers, we need to develop interventio... read more
Analytical methods : advancing methods and applications
Aug 6, 2025
Single cell density is a key indicator for judging cell physiological state, crucial for studying cell function. However, existing measurement methods are often complex and time-consuming, limiting their efficiency in practical applications. To addre... read more
Multimodal recommender systems (MRS) improve recommendation performance by
integrating diverse semantic information from multiple modalities. However, the
assumption of the availability of all modalities rarely holds in practice due
to missing imag... read more
This research investigates the performance and efficacy of machine learning models in stock prediction, comparing Artificial Neural Networks (ANNs), Quantum Qubit-based Neural Networks (QQBNs), and Quantum Qutrit-based Neural Networks (QQTNs). By out... read more
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