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High-throughput markerless pose estimation and home-cage activity analysis of tree shrew using deep learning.
Animal Model Exp Med
January 2025
School of Psychological and Cognitive Sciences, IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.
Background: Quantifying the rich home-cage activities of tree shrews provides a reliable basis for understanding their daily routines and building disease models. However, due to the lack of effective behavioral methods, most efforts on tree shrew behavior are limited to simple measures, resulting in the loss of much behavioral information.
Methods: To address this issue, we present a deep learning (DL) approach to achieve markerless pose estimation and recognize multiple spontaneous behaviors of tree shrews, including drinking, eating, resting, and staying in the dark house, etc.
Placental Hypoxia-Induced Ferroptosis Drives Vascular Damage in Preeclampsia.
Circ Res
January 2025
Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada (C.P., S.A., J.W.A., R.L., F.N., J.S., I.C.).
Background: Iron is an essential micronutrient for cell survival and growth; however, excess of this metal drives ferroptosis. Although maternal iron imbalance and placental hypoxia are independent contributors to the pathogenesis of preeclampsia, a hypertensive disorder of pregnancy, the mechanisms by which their interaction impinge on maternal and placental health remain elusive.
Methods: We used placentae from normotensive and preeclampsia pregnancy cohorts, human H9 embryonic stem cells differentiated into cytotrophoblast-like cells, and placenta-specific preeclamptic mice.
Circular economy from scratch: A novel project-based learning method to increase motivation in metal recycling among industrial design students.
MethodsX
June 2025
Faculty of Design and Art, University of Wuppertal, 42119 Wuppertal, Germany.
Project-based learning, with its emphasis on 'learning by doing', is the dominant teaching method in industrial design. Learners are supposed to be motivated to tackle complex problems such as those in the dynamic field of sustainability. However, it is still unclear how the process of increasing motivation within projects can be systematically targeted for specific sustainability challenges and directed towards potential later pro-environmental behavior.
View Article and Find Full Text PDFHarnessing machine learning in contemporary tobacco research.
Toxicol Rep
June 2025
Division of Molecular Medicine, Bose Institute, Kolkata 700054, India.
Machine learning (ML) has the potential to transform tobacco research and address the urgent public health crisis posed by tobacco use. Despite the well-documented health risks, cessation rates remain low. ML techniques offer innovative solutions by analyzing vast datasets to uncover patterns in smoking behavior, genetic predispositions, and effective cessation strategies.
View Article and Find Full Text PDFCommentary on "Protective Effect of Regular Physical Activity Against Diabetes-Related Lower Extremity Amputation".
J Diabetes
January 2025
Infectious Diseases and Tropical Medicine Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
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