Predicting preterm birth using machine learning methods
Rubarth, L. B. & Quinn, J. Respiratory development and respiratory distress syndrome. Neonatal Netw. 34, 231–238 (2015).Article PubMed MATH Google...
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Application of machine learning approach to estimate the solubility of some solid drugs in supercritical CO2
Alwi, R. S. & Garlapati, C. New correlations for the solubility of anticancer drugs in supercritical carbon dioxide. Chem. Pap....
Machine learning approaches for predicting fetal macrosomia at different stages of pregnancy: a retrospective study in China | BMC Pregnancy and Childbirth
Macrosomia ACOGP, Bulletin. Number 216. Obstet Gynecol. 2020;135(1):e18-e35.Koyanagi A, Zhang J, Dagvadorj A, Hirayama F, Shibuya K, Souza JP, et...
Machine learning approach leads to a ‘living systematic map’ of climate policy research
The geographic distribution of climate policy literature. Credit: npj Climate Action (2025). DOI: 10.1038/s44168-024-00196-0 Research on climate policy is growing...
Convergence of evolving artificial intelligence and machine learning techniques in precision oncology
Digital pathologyThere are multiple areas within the field of digital pathology where AI/ML is being explored. Key applications include automation...
Machine learning-based method enhances accuracy of measuring dip angles and directions in rock facets
Researchers developed a methodology that autonomously filters unnecessary data from 3D point clouds of rock faces to accurately determine dip...
