Cancer Incidence in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) - The Onco-SOL Ancillary Study.

Background: Few studies have examined how cancer incidence varies by country of origin among United States Hispanic/Latino adults. Herein, we describe the incidence rates of cancer overall and for screen-detectable, tobacco-related, and obesity-related cancers among 16,415 participants in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), an ongoing population-based cohort study of Hispanic/Latino adults from diverse backgrounds.

Methods: Cohort participant records were linked to the state cancer registries in New York, Florida, California, and Illinois to ascertain cancer incidence from baseline (2008-2011) through 2021.

Leveraging milk mid-infrared spectroscopy to authenticate animal welfare, farming practices, and dairy systems of Parmigiano Reggiano cheese.

Increasing consumer concerns underscore the importance of verifying the practices and origins of food, especially certified premium products. The aim of this study was to evaluate the ability of Fourier-transform mid-infrared (FT-MIR) spectroscopy to authenticate animal welfare parameters, farming practices, and dairy systems. Data on farm characteristics were obtained from the Parmigiano Reggiano Consortium in northern Italy.

Establishing Convergent Validity of the Face-Q Aesthetics Module Scales.

Background: FACE-Q Aesthetics scales assess patient-important outcomes following both surgical/nonsurgical facial cosmetic interventions. Convergent validity is the degree to which the scores of one measurement relate to another measuring a similar construct.

Objectives: This study aims to establish the convergent validity of 11 FACE-Q Aesthetics appearance scales using the MERZ Aesthetics scales.

Mind the Step: An Artificial Intelligence-Based Monitoring Platform for Animal Welfare.

We present an artificial intelligence (AI)-enhanced monitoring framework designed to assist personnel in evaluating and maintaining animal welfare using a modular architecture. This framework integrates multiple deep learning models to automatically compute metrics relevant to assessing animal well-being. Using deep learning for AI-based vision adapted from industrial applications and human behavioral analysis, the framework includes modules for markerless animal identification and health status assessment (e.

The influence of fetal sex on antenatal maternal glucose and insulin dynamics.

The 'Developmental Origins of Health and Disease' (DOHaD) hypothesis postulates that exposures during critical periods of development and growth, including maternal hyperglycemia, can have significant consequences for short- and long-term health in offspring. The influence of fetal status on maternal (patho)physiology is less well understood but gaining attention. Fetal sex specifically may be an independent risk factor for a range of adverse pregnancy outcomes, including increased gestational diabetes mellitus (GDM) frequency with male fetuses in multi-ethnic populations.