A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.

In this article, we make use of 40 years of data to examine patterns of incidence and mortality for various cancers, following the intellectual lineage of Bailar and others. 7-10 We go on to posit ...

Taletrectinib: TRUST in the Continued Evolution of Treatments for ROS1 Fusion–Positive Lung Cancer In the article that accompanies this editorial, O'Brien et al 18 use a variety of methods to address ...

Comprehensive Analysis of UGT1A Polymorphisms Predictive for Pharmacokinetics and Treatment Outcome in Patients With Non–Small-Cell Lung Cancer Treated With Irinotecan and Cisplatin We analyzed 975 ...

THE SOURCE TERM IS THE amount of radionuclides released from a site to the environment over a specific period. The rate of release as a function of time should also be determined. Releases can be to ...

Efficient and effective control of the pandemic requires complete epidemiological data that involves accurate and timely parameters of disease transmission, disease burden, and disease severity. Poor ...

Throughout the world, including the United States, medical professionals and patients are facing both a pandemic and an infodemic — the first caused by SARS-CoV-2 and the second by misinformation and ...

An ad hoc consensus committee of the National Academies of Sciences, Engineering, and Medicine will conduct an epidemiologic study of the health of veterans who served at Fort McClellan, Alabama, from ...

EPIDEMIOLOGIC STUDIES OF populations potentially exposed to ionizing radiation as a result of the release of radionuclides into the environment can be of two general forms, monitoring or formal, and ...