Circulatory biomarkers for IPF: improving patient outcomes

Status	Finished
Effective start/end date	1/01/18 → 31/12/21

Access Project

The Analysis of Proteomics by Machine Learning in Separating Idiopathic Pulmonary Fibrosis from Connective Tissue Disease–Interstitial Lung Disease
Moodley, Y., 15 Aug 2024, In: American Journal of Respiratory and Critical Care Medicine. 210, 4, p. 378-380 3 p.
Research output: Contribution to journal › Editorial › peer-review

Open Access
Biomarker signatures for progressive idiopathic pulmonary fibrosis
Clynick, B., Corte, T. J., Jo, H. E., Stewart, I., Glaspole, I. N., Grainge, C., Maher, T. M., Navaratnam, V., Hubbard, R., Hopkins, P. M. A., Reynolds, P. N., Chapman, S., Zappala, C., Keir, G. J., Cooper, W. A., Mahar, A. M., Ellis, S., Goh, N. S., De Jong, E. & Cha, L. & 6 others, Tan, D. B. A., Leigh, L., Oldmeadow, C., Walters, E. H., Jenkins, R. G. & Moodley, Y., 1 Mar 2022, In: The European Respiratory Journal. 59, 3, 12 p., 2101181.
Research output: Contribution to journal › Article › peer-review

Open Access
50 Citations (Scopus)
There is detectable variation in the lipidomic profile between stable and progressive patients with idiopathic pulmonary fibrosis (IPF)
Nambiar, S., Clynick, B., How, B. S., King, A., Walters, E. H., Goh, N. S., Corte, T. J., Trengove, R., Tan, D. & Moodley, Y., Dec 2021, In: Respiratory Research. 22, 1, 105.
Research output: Contribution to journal › Article › peer-review

Open Access
22 Citations (Scopus)