This study leverages valuable single-cell RNA data from patients with CHIP mutations and controls ... followed by 7 days in monocyte differentiation media, containing IMDM + 20% FBS + 0.5% P/S and the ...
This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...
Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Scientists at TU Delft, the Netherlands, have developed a new algorithm that allows multiple autonomous drones to work ...
Abstract: This abstract introduces a data-driven approach to managing carbon footprints in global supply chains through the integration of artificial intelligence (AI) algorithms. With the pressing ...
Abstract: In the field of international trade, due to its wide range and complex interest relations, it is necessary to synthesize various information for analysis and decision-making. However, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback