Conventional techniques in drug discovery are time-consuming and less accurate due to the vast chemical space and associated uncertainty. Artificial intelligence and machine learning have introduced new methods to improve the drug discovery process. ... read more
Journal of prosthodontics : official journal of the American College of Prosthodontists
Mar 4, 2026
PURPOSE: To develop and validate an integrated system combining grey relational analysis (GRA) with deep neural networks (DNNs) for personalized oral aesthetic color optimization, and to evaluate its performance compared to traditional color selectio... read more
Distribution of relaxation times (DRT) curves for lithium batteries facilitates the analysis of internal dynamics and polarization characteristics, offering substantial model interpretability. Furthermore, they serve as valuable tools for estimating ... read more
Frequent changes in global climate enhance environmental cues, threaten agricultural systems, which jeopardizes food security, and impair the achievements of the United Nations Sustainable Development Goal 2 "Zero Hunger". To achieve a sustainable pa... read more
Journal of the American Society for Mass Spectrometry
Mar 4, 2026
Machine learning (ML) accelerates progress in many areas, including biomedical and clinical research. ML algorithms provide powerful options for efficiently analyzing multivariate data sets. We developed and validated an ML pipeline to detect myelody... read more
Cyberpsychology, behavior and social networking
Mar 4, 2026
This study aims to elucidate the mechanisms through which service robot anthropomorphism and employee self-efficacy influence human-robot collaborative performance in the service industry. A conceptual model was developed in which perceived usefulnes... read more
Artificial intelligence (AI), particularly deep learning (DL), is transforming the field of medical imaging and holds substantial promise for advancing breast cancer screening. This narrative review explores current and emerging AI applications in ma... read more
Earthworm behavioral biomarkers provide more sensitive and comprehensive assessments for environmental contaminants. However, natural soil opaqueness has limited understanding of the continuous three-dimensional (3D) characteristics of earthworm burr... read more
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