Artificial Intelligence-Powered Assessment of Pathologic Response to Neoadjuvant Atezolizumab in Patients With NSCLC: Results From the LCMC3 Study

By sjmartinez • May 9, 2024

Dacic S, Travis WD, Giltnane JM, Kos F, Abel J, Hilz S, Fujimoto J, Sholl L, Ritter J, Khalil F, Liu Y, Taylor-Weiner A, Resnick M, Yu H, Hirsch FR, Bunn PA Jr, Carbone DP, Rusch V, Kwiatkowski DJ, Johnson BE, Lee JM, Hennek SR, Wapinski I, Nicholas A, Johnson A, Schulze K, Kris MG, Wistuba II. Artificial Intelligence-Powered Assessment of Pathologic Response to Neoadjuvant Atezolizumab in Patients With NSCLC: Results From the LCMC3 Study. J Thorac Oncol. 2024 May;19(5):719-731. doi: 10.1016/j.jtho.2023.12.010. Epub 2023 Dec 7. PMID: 38070597.

Tags: Artificial intelligence, Convolutional neural network, digital pathology, neoadjuvant, NSCLC, Publications, Pulmonary, Critical Care & Sleep Medicine

Diet, nutrition, and hormone therapy for prostate cancer: a systematic review with implications for future interventions

Pahulu I, Calumpit M, Tominez P, Shih JJ, Ebrahimi S, Deville NV, Samoa R, Moin T, Sedrak MS, Valle LF, Steinberg M, Kishan AU, Ganz[...]

The malate-aspartate shuttle supports thermogenic lipid mobilization in brown adipocytes

Veliova M, Ferreira CM, Montales KP, Villalobos F, Brownstein AJ, Acín-Pérez R, Ferreira GS, Jones AE, Stiles L, Divakaruni AS, Liesa M, Shirihai OS, Oliveira[...]

Regional Comparisons of the Prevalence and Socioeconomics of Hepatitis Delta Virus in Two Southern California Counties

Pak K, Leng M, Nguyen J, Moussa K, Gish R, Han SH, Pockros P. Regional Comparisons of the Prevalence and Socioeconomics of Hepatitis Delta Virus[...]