Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

Search Results

69 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Results By Year timeline is not available.
Page 1
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories.
Placido D, Yuan B, Hjaltelin JX, Zheng C, Haue AD, Chmura PJ, Yuan C, Kim J, Umeton R, Antell G, Chowdhury A, Franz A, Brais L, Andrews E, Marks DS, Regev A, Ayandeh S, Brophy MT, Do NV, Kraft P, Wolpin BM, Rosenthal MH, Fillmore NR, Brunak S, Sander C. Placido D, et al. Among authors: fillmore nr. Nat Med. 2023 May;29(5):1113-1122. doi: 10.1038/s41591-023-02332-5. Epub 2023 May 8. Nat Med. 2023. PMID: 37156936 Free PMC article.
Evaluating the impact of age on immune checkpoint therapy biomarkers.
Erbe R, Wang Z, Wu S, Xiu J, Zaidi N, La J, Tuck D, Fillmore N, Giraldo NA, Topper M, Baylin S, Lippman M, Isaacs C, Basho R, Serebriiskii I, Lenz HJ, Astsaturov I, Marshall J, Taverna J, Lee J, Jaffee EM, Roussos Torres ET, Weeraratna A, Easwaran H, Fertig EJ. Erbe R, et al. Cell Rep. 2021 Nov 16;37(7):110033. doi: 10.1016/j.celrep.2021.110033. Cell Rep. 2021. PMID: 34788629 Free article. No abstract available.
Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.
Do NV, Ramos JC, Fillmore NR, Grossman RL, Fitzsimons M, Elbers DC, Meng F, Johnson BR, Ajjarapu S, DeDomenico CL, Pierce-Murray KE, Hall RB, Do AF, Gaynor K, Elkin PL, Brophy MT. Do NV, et al. Among authors: fillmore nr. Stud Health Technol Inform. 2019 Aug 21;264:1453. doi: 10.3233/SHTI190480. Stud Health Technol Inform. 2019. PMID: 31438177
69 results