National Survey of Lung Cancer Screening Eligibility in United States Veterans.

Introduction: Lung cancer screening is underutilized, especially in rural areas where lung cancer mortality is high. Approximately 11.2% of the United States (US) population over age 50 meet the United States Preventive Services Task Force (USPSTF) 2021 lung cancer screening eligibility criteria; the proportion of eligible Veterans is unknown.

microbiota model recapitulates and predicts individualised sensitivity to dietary emulsifier.

Background: Non-absorbed dietary emulsifiers, including carboxymethylcellulose (CMC), directly disturb intestinal microbiota, thereby promoting chronic intestinal inflammation in mice. A randomised controlled-feeding study (Functional Research on Emulsifiers in Humans, FRESH) found that CMC also detrimentally impacts intestinal microbiota in some, but not all, healthy individuals.

Objectives: This study aimed to establish an approach for predicting an individual's sensitivity to dietary emulsifiers via their baseline microbiota.

IAP dependency of T-cell prolymphocytic leukemia identified by high-throughput drug screening.

T-cell prolymphocytic leukemia (T-PLL) is an aggressive lymphoid malignancy with limited treatment options. To discover new treatment targets for T-PLL, we performed high-throughput drug sensitivity screening on 30 primary patient samples ex-vivo. After screening over 2'800 unique compounds, we found T-PLL to be more resistant to most drug classes, including chemotherapeutics, compared to other blood cancers.

Text Message System for the Prediction of Colonoscopy Bowel Preparation Adequacy Before Colonoscopy: An Artificial Intelligence Image Classification Algorithm Based on Images of Stool Output.

Background And Aims: Inadequate bowel preparation which occurs in 25% of colonoscopies is a major barrier to the effectiveness of screening for colorectal cancer. We aim to develop an artificial intelligence (machine learning) algorithm to assess photos of stool output after bowel preparation to predict inadequate bowel preparation before colonoscopy.

Methods: Patients were asked to text a photo of their stool in the commode when they believed that they neared completion of their colonoscopy bowel preparation.