Waddelma

Maldonado, Fabien, Tomassetti, Sara, & Ryu, Jay H. (2015). “Orphan tracheopathies.” In Lung Disease: A Clinical Approach (pp. 73-89). https://doi.org/10.1007/978-1-4471-2401-6_6 In respiratory medicine, diseases affecting the central airways—the trachea and main bronchi—have received less attention than diseases of the lung tissue itself. This may… Read More

Yang, Hao, Acar, Ayberk, Xu, Keshuai, Deguet, Anton, Kazanzides, Peter, & Wu, Jieying. (2025). “An effectiveness study across baseline and learning-based force estimation methods on the da Vinci Research Kit Si system.” IEEE Transactions on Medical Robotics and Bionics. https://doi.org/10.1109/TMRB.2025.3589744   Robot-assisted… Read More

Pulliam, Grace, Feldman, Jacob I., Wallace, Mark T., Cutting, Laurie E., & Woynaroski, Tiffany G. (2025). “Associations between audiovisual integration and reading comprehension in autistic and non-autistic school-aged children.” Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-025-06960-3 Although reading difficulties are not considered a core… Read More

Gomes, Fernando, Bhansali, Shekhar, da Silveira Maranhão, Fabiola, Valladão, Viviane Silva, & Velasco, Karine. (2025). “What are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends.” Anais da Academia Brasileira de Ciências, 97, e20241345. https://doi.org/10.1590/0001-3765202520241345 This study presents… Read More

Davalos, Eduardo, Zhang, Yike, Srivastava, Namrata, Salas, Jorge Alberto, McFadden, Sara E., Cho, Sun-joo, Biswas, Gautam, & Goodwin, Amanda P. (2025). “LLMs as educational analysts: Transforming multimodal data traces into actionable reading assessment reports.” In Lecture Notes in Computer Science (Vol. 15878, pp. 191-204). https://doi.org/10.1007/978-3-031-98417-4_14… Read More

Ashwin, T. S., Sanda, Nihar, Timalsina, Umesh, & Biswas, Gautam. (2025). “Challenges of applying computer vision for emotion detection in educational settings: A study on bias.” In Lecture Notes in Computer Science (Vol. 15882, pp. 388-395). https://doi.org/10.1007/978-3-031-98465-5_49 Understanding students’ emotions is important for creating… Read More

Were, Martin Chieng, Li, Ang, Malin, Bradley A., Yin, Zhijun, Coco, Joseph R., Collins, Benjamin Xavier, Clayton, Ellen Wright, Novak, Laurie Lovett, Hendricks-Sturrup, Rachele M., & Oluyomi, Abiodun Olufemi. (2025). “Role and use of race in artificial intelligence and machine learning models related to health.” Journal of… Read More

Alonso, Sara, Kaur, Harsimran, Jia, Luo, Nguyen, Mai Uyen, Laguerta, Alyssa, Fong, Andrew, Skariah, Neema, Argüello, Rafael J., Verzi, Michael Paul, & Swamy, Mahima. (2025). “Microbiota promote enhanced CD39 expression in γδ intraepithelial lymphocytes through the activation of TCR and IL-15 signaling.” Mucosal Immunology. https://doi.org/10.1016/j.mucimm.2025.07.005… Read More

Witt, Atlee A., Combes, Anna J.E., Sengupta, Anirban, Zhang, Xinyu, Stubblefield, Seth, McKnight, Colin David, McGonigle, Trey William, McGrath, Megan, Stewart, Isabella, & Sweeney, Grace. (2025). “Changes in functional connectivity in relapsing-remitting multiple sclerosis spinal cord measured via region-based and data-driven analyses.” Imaging Neuroscience, 3, IMAG.a.51. Read More

Shui, Lan, Maitra, Anirban, Yuan, Ying, Lau, Ken S., Kaur, Harsimran, Li, Liang, & Li, Ziyi. (2025). “PoweREST: Statistical power estimation for spatial transcriptomics experiments to detect differentially expressed genes between two conditions.” PLOS Computational Biology, 21(7), e1013293. https://doi.org/10.1371/journal.pcbi.1013293 Recent advances in spatial transcriptomics (ST)—a… Read More