Mechanical and Computer Models of Pulmonary Vascular Disease

The Role of Machine Learning and Artificial Intelligence in Drug Discovery and Clinical Care of Pulmonary Hypertension

Evelyne Bischof, Chaim Haber, Niklas LidströmerShanghai University of Medicine and Health Sciences. Sheba Medical Center, Grey School of Medicine and Tel Aviv University. University of Copenhagen. Karolinska Institutet. China, Israel, Denmark and Sweden Heart Failure ClinicsHeart Fail Clin 2026; 22: 361-370DOI: 10.1016/j.hfc.2026.02.009 AbstractPulmonary hypertension (PH) is a severe and oftentimes fatal disease with a high degree […]

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A Biomimetic Miniaturized In Vitro Model to Target Early Markers of Neonatal Pulmonary Vascular Injury

Motaharehsadat Heydarian, Ali Doryab, Juan Henao, Benjamin Schubert, Otmar Schmid, Anne HilgendorffHelmholtz Zentrum München and German Lung Research Center. University of Cambridge. University Hospital Ludwig-Maximilian University. Carl von Ossietzky University.Germany and United Kingdom American Journal of Physiology Lung Cellular and Molecular PhysiologyAm J Physiol Lung Cell Mol Physiol 2026; DOI: 10.1152/ajplung.00002.2026 AbstractPulmonary vascular disease (PVD) is

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Adapting the REVEAL Lite 2 score to the pediatric population through machine learning: insights from the REHIPED registry for pediatric pulmonary hypertension

Julia Playán-Escribano, Carlos Labrandero de Lera, Leticia Albert de la Torre,  Alejandro Rodríguez-Ogando, Antonio Moreno-Galdó, Inmaculada Guillén Rodríguez, Anna Sabaté-Rotés, Amparo Moya-Bonora, Lina María Caicedo Cuenca, María Jesús del Cerro, on behalf of the REHIPED investigatorsHospital General Universitario Gregorio Marañón. Hospital Universitario del Sureste, Arganda del Rey. Universidad Complutense de Madrid. Hospital Universitario La Paz. Hospital Universitario 12 de Octubre. Hospital General Universitario Gregorio Marañón. Hospital Universitari Vall d’Hebron, Vall d’Hebron Barcelona Hospital Campus,

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Predicting pulmonary hypertension in infants with bronchopulmonary dysplasia

Henry P. Foote, Minghui Sun, Benjamin Alan Goldstein, Kevin D. Hill, Rachel G. Greenberg, Samuel J. Gentle, Kanecia O. Zimmerman, Rishikesan Kameleswaran, Veeral N. Tolia, Matthew M. Laughon, Wesley Jackson, Christoph P. HornikDuke University Medical Center and Duke University. Yale University School of Medicine. Baylor University Medical Center. University of North Carolina. United States Journal

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Jinlong Liu, Xiafeng Yu, Jiwen Xiong, Yi Yan, Yanjun Sun, Yumin Zhong, Hao ZhangShanghai Children’s Medical Center and Shanghai Jiao Tong University School of Medicine.China Frontiers in Bioengineering and BiotechnologyFront Bioeng Biotechnol 2026; 13: DOI: 10.3389/fbioe.2025.1697468 AbstractObjectives: Reverse Potts shunt is a promising yet high-risk therapy for pediatric pulmonary arterial hypertension. Postoperative hemodynamics is critically influenced by

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Deep Learning-Based Prediction of Cardiopulmonary Disease in Retinal Images of Premature Infants

Praveer Singh, Sourav Kumar, Riya Tyagi, Benjamin K. Young, Brian K. Jordan, Brian Scottoline, Patrick D. Evers, Susan Ostmo, Aaron S. Coyner, Wei-Chun Lin, Aarushi Gupta, Deniz Erdogmus, Paul Chan, Emily A. McCourt, James S. Barry, Cindy T. McEvoy, Micheal F. Chiang, Peter Campbell, Jayashree Kalpathy-CramerUniversity of Colorado School of Medicine. Massachusetts General Hospital and

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Construction of an early diagnostic model for pulmonary hypertension based on aging-related signature genes and identification of potential therapeutic targets

MengzeWang, Jiafei Lu, Xinyu Li, Huating Xie, Junjie Liang, Jun Luo, Xishu Deng, Guoquan Pan, Bowen Ji, Xiaojie DingKunming Children’s Hospital. Southern Medical University. Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University. Taizhou Central Hospital (Taizhou University Hospital). Second Hospital of Jiaxing and Second Affiliated Hospital of Jiaxing University. Zhejiang Rongjun Hospital.

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Development and validation of a pre-trained language model for neonatal morbidities: a retrospective, multicentre, prognostic study

Feng Xie, Philip Chung, Jonathan D. Reiss, Erico Tjoa, Davide De Francesco, Thanaphong Phongpreecha, William Haberkorn, Dipro Chakraborty, Alan Lee Chang, Tomin James, Yeasul Kim, Samson Mataraso, Camilo Espinosa, Liu Yang, Chi-Hung Shu, Lei Xue, Eloïse Berson, Neshat Mohammadi, Sayane Shome, S Momsen Reincke, Marc Ghanem, Ivana Maric, Brice Gaudilliere, Martin S Angst, Karl Sylvester,

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AI learning for pediatric right ventricular assessment: development and validation across multiple centers

Charitha Reddy, Yi Yan, Min Qiu, Yi Tang, Bo Jin, Zhi Han, Yuhang Li, Sihan Zhou, Qiming Tang, Huan Xiao, Shu Yang, Qigui Wen, Lan-Ping Wu, Li-Jun Fu, Ze-Yu Jing, Yi-Jia Yang, Yu-Qi Zhang, Naoto Ozawa, Takumi Ichikawa, Ellen Ling, Ronald J. Wong, Nima Aghaeepour, Brice Gaudilliere, Martin S. Angst, Karl G. Sylvester, Harvey J.

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Hepatic vein-derived factors may affect pulmonary arteriovenous malformations after single ventricle palliation by modulating vascular cell behavior

Laura Yuriko González-Teshima, Keisuke Hakamada, Kozue Murata, Reiko Nakagawa, Shiro Baba, Yujiro Ide, Maiko Okamura, Akio Ikai, Tadashi Ikeda, Kenji Minatoya, Masaya Hagiwara, Masaya Ikegawa, Hidetoshi MasumotoKyoto University Graduate School of Medicine. RIKEN Center for Biosystems Dynamics Research. Doshisha University. Shizuoka General Hospital. Japan Scientific ReportsSci Rep 2025; 15: DOI: 10.1038/s41598-025-25523-1 AbstractPulmonary arteriovenous malformations (PAVM) are

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