APA (7th ed.) Citation

Kawashima, M., Maeda, T., Iwasaki, K., Takizawa, M., Kaneda, N., & Kabashima, K. (2026). Machine-Learning-Based Prediction of Long-Term Efficacy of Nemolizumab: Post Hoc Analysis of Pooled Data from Two Phase III Clinical Trials. Dermatology & Therapy, 16(6), 3201. https://doi.org/10.1007/s13555-026-01768-0

Chicago Style (17th ed.) Citation

Kawashima, Makoto, Tomoya Maeda, Kotaro Iwasaki, Masashi Takizawa, Noriaki Kaneda, and Kenji Kabashima. "Machine-Learning-Based Prediction of Long-Term Efficacy of Nemolizumab: Post Hoc Analysis of Pooled Data from Two Phase III Clinical Trials." Dermatology & Therapy 16, no. 6 (2026): 3201. https://doi.org/10.1007/s13555-026-01768-0.

MLA (9th ed.) Citation

Kawashima, Makoto, et al. "Machine-Learning-Based Prediction of Long-Term Efficacy of Nemolizumab: Post Hoc Analysis of Pooled Data from Two Phase III Clinical Trials." Dermatology & Therapy, vol. 16, no. 6, 2026, p. 3201, https://doi.org/10.1007/s13555-026-01768-0.