Clinical utility of receptor status prediction in breast cancer and misdiagnosis identification using deep learning on hematoxylin and eosin-stained slides.

Background: Molecular profiling of estrogen receptor (ER), progesterone receptor (PR), and ERBB2 (also known as Her2) is essential for breast cancer diagnosis and treatment planning. Nevertheless, current methods rely on the qualitative interpretation of immunohistochemistry and fluorescence in situ hybridization (FISH), which can be costly, time-consuming, and inconsistent. Here we explore the clinical utility of predicting receptor status from digitized hematoxylin and eosin-stained (H&E) slides using machine learning trained and evaluated on a multi-institutional dataset.

A dual-cutoff machine-learned potential for condensed organic systems obtained uncertainty-guided active learning.

Machine-learned potentials (MLPs) trained on data combine the computational efficiency of classical interatomic potentials with the accuracy and generality of the first-principles method used in the creation of the respective training set. In this work, we implement and train a MLP to obtain an accurate description of the potential energy surface and property predictions for organic compounds, as both single molecules and in the condensed phase. We devise a dual descriptor, based on the atomic cluster expansion (ACE), that couples an information-rich short-range description with a coarser long-range description that captures weak intermolecular interactions.

Current Status of La Crosse Virus in North America and Potential for Future Spread.

La Crosse virus (LACV) is an arthropod-borne RNA virus with substantial potential for future spread in North America. La Crosse virus is responsible for La Crosse encephalitis, a leading cause of arboviral encephalitis in children in the United States. Primarily transmitted by Aedes triseriatus (Eastern treehole) mosquitos and amplified by small mammal hosts, LACV has caused infections throughout the upper Midwest and, more recently, the mid-Atlantic and southeastern United States.

[ACUTE OTITIS MEDIA BACTERIOLOGY IN CHILDREN YOUNGER THAN THREE MONTHS IN THE LAST 16 YEARS].

Background: Only scant information is available regarding the bacteriology of acute otitis media (AOM) in neonates.

Objectives: To investigate the bacteriology of AOM post the introduction of Pneumococcal Conjugate Vaccine (PCV13) in children younger than 3 months and its relation to the mode of delivery.

Methods: Retrospective bacteriological analysis of middle ear fluids taken from children younger than 60 months suffering from AOM.

A Systematic Review and Meta-analysis of Two Negative Pressure Wound Therapy Devices to Manage Cesarean Section Incisions.

This paper aims to evaluate whether there is a device-dependent effect on the reduction of surgical site complications in obese patients (body mass index [BMI] ≥ 30 kg/m) undergoing cesarean section (C-section). PubMed, Embase, Cochrane Library, and ClinicalTrials.gov were searched for the period, January 2011 to September 2021.