Heuristic absorption calculation in bilayered media from a white Monte Carlo dataset.

Monte Carlo (MC) simulations can adequately describe photon migration in layered media; however, storing and querying the resulting dataset may be computationally prohibitive when detailed path data are needed for each photon trajectory. A heuristic approach that significantly reduces the stored information to the average path length traveled by the photons detected in each layer is proposed. Its accuracy is evaluated by comparing it with the exact time point spread function () for a bilayered medium.

Necrotizing Fasciitis and Streptococcal Toxic Shock Syndrome: A Case Report.

Group A (GAS), particularly (), is a significant human pathogen responsible for infections often ranging from mild superficial conditions to severe, life-threatening diseases like necrotizing fasciitis (NF) and streptococcal toxic shock syndrome (STSS). This case report details the rapid deterioration of a previously healthy 49-year-old woman who presented with localized symptoms in her left thigh, later escalating to septic shock and multi-organ failure related to GAS infection. Initial evaluations indicated significant inflammation and acute kidney injury, prompting broad-spectrum antibiotic treatment.

Deep learning algorithm on H&E whole slide images to characterize alterations frequency and spatial distribution in breast cancer.

The tumor suppressor is frequently mutated in hormone receptor-negative, HER2-positive breast cancer (BC), contributing to tumor aggressiveness. Traditional ancillary methods like immunohistochemistry (IHC) to assess functionality face pre- and post-analytical challenges. This proof-of-concept study employed a deep learning (DL) algorithm to predict mutational status from H&E-stained whole slide images (WSIs) of BC tissue.

Emerging horizons on molecular and circulating biomarkers in pancreatic adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is the most aggressive and invasive type of pancreatic cancer and is expected to soon become the second leading cause of cancer-associated death. The high mortality rate is due to the clinical features that allow asymptomatic progression to advanced stages, a period when current therapeutic treatments have limited efficacy. To address these challenges, researchers are focused on identifying new molecular and circulating markers for early PDAC detection and precision medicine.

High throughput compressive fluorescence lifetime imaging with a silicon photomultiplier detector.

Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique for studying biological processes. There exists a growing interest in developing strategies to enhance throughput and reduce acquisition time of FLIM systems, which commonly employ laser scanning excitation and time-correlated single-photon counting (TCSPC) detection. In this work, we propose a wide-field FLIM microscope based on compressive sensing and high photon rate detection (beyond pile-up limit) based on a high-efficiency silicon photomultiplier detector as a single-pixel camera.