Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study

By afschroeder • March 3, 2026

Farrand E, Chung A, Joshua J, Dong H, Mills H, Lee A, Ieong M, Radhakrishnan L, Gologorskaya O, Butte A. Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study. EClinicalMedicine. 2026 Feb 21;93:103790. doi: 10.1016/j.eclinm.2026.103790. PMID: 41768274; PMCID: PMC12945527.

Tags: Artificial intelligence, data science, interstitial lung disease, machine learning, Publications, Pulmonary, Critical Care & Sleep Medicine, Real-world-data

Progressive Muscle Rigidity and Spasms in an Older Adult: A Diagnostic Challenge

Leonard SD, Tran HT. Progressive Muscle Rigidity and Spasms in an Older Adult: A Diagnostic Challenge. Cureus. 2026 Apr 2;18(4):e106329. doi: 10.7759/cureus.106329. PMID: 42078214; PMCID:[...]

Achieving timely treatment for early-stage non-small cell lung cancer: Factors associated with delayed surgical resection and proposed quality benchmarks

Tupper HI, Bhattacharjee J, Sarovar V, Amara D, Schmittdiel JA, Quesenberry CP, Cummings AL, Velotta JB, Sakoda LC. Achieving timely treatment for early-stage non-small cell[...]

Impact of UGT1A1*28 polymorphism in patients with metastatic pancreatic ductal adenocarcinoma treated with NALIRIFOX in the NAPOLI 3 trial

Abdelrahim M, Khan G, Hatoum H, Zervoudakis A, Dayyani F, Zhang L, Li J, Maxwell F, O'Reilly EM, Wainberg ZA, Bullock A. Impact of UGT1A1*28polymorphism in[...]