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http://dx.doi.org/10.3748/wjg.v4.i3.264 | DOI Listing |
NPJ Digit Med
January 2025
KI Research Institute, Kfar Malal, Israel.
Predictive model performance may deteriorate when applied to data sources that were not used for training, thus, external validation is a key step in successful model deployment. As access to patient-level external data sources is typically limited, we recently proposed a method that estimates external model performance using only external summary statistics. Here, we benchmark the proposed method on multiple tasks using five large heterogeneous US data sources, where each, in turn, plays the role of an internal source and the remaining-external.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Artificial Intelligence and Data Science, College of Computer Science and Engineering, University of Hail, Hail, Saudi Arabia.
In the present digital scenario, the explosion of Internet of Things (IoT) devices makes massive volumes of high-dimensional data, presenting significant data and privacy security challenges. As IoT networks enlarge, certifying sensitive data privacy while still employing data analytics authority is vital. In the period of big data, statistical learning has seen fast progressions in methodological practical and innovation applications.
View Article and Find Full Text PDFSci Data
January 2025
School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.
The question of what processes can take place without conscious awareness has generated extensive research. Yet there is still no consensus regarding the extent and scope of unconscious processing, and past research abounds with conflicting results. A possible reason for this lack of consensus is the diversity of methods in the field, as the methodological choices might influence the results.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Computational Biology and Medical Science, Graduate School of Frontier Sciences, the University of Tokyo, Tokyo, Japan.
Spatial transcriptomics is an essential application for investigating cellular structures and interactions and requires multimodal information to precisely study spatial domains. Here, we propose STAIG, a deep-learning model that integrates gene expression, spatial coordinates, and histological images using graph-contrastive learning coupled with high-performance feature extraction. STAIG can integrate tissue slices without prealignment and remove batch effects.
View Article and Find Full Text PDFChem Asian J
January 2025
Chiang Mai University, Chemistry, 239 Huay Kaew Road, Muang District, 50200, Chiang Mai, THAILAND.
The Ph3P-I2-mediated reactions between isatins and amines were extensively investigated leading to the discovery of highly selective and divergent routes toward the synthesis of two distinct classes of indole-based frameworks. Through a strategic design of the reaction paths, we overcome potential side reactions to achieve convenient and straightforward one-pot methods to access either indoloquinazolines with C-12 carboxamide or 2-aminosubstituted indol-3-ones using the same reagent system. Mechanistic studies reveal the role of Ph3P-I2 in governing product selectivity, providing an efficient route to novel fused-indolone derivatives with promising applications in drug discovery and medicinal chemistry.
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