Single-cell mapping of regulatory DNA:Protein interactions.

Gene expression is coordinated by a multitude of transcription factors (TFs), whose binding to the genome is directed through multiple interconnected epigenetic signals, including chromatin accessibility and histone modifications. These complex networks have been shown to be disrupted during aging, disease, and cancer. However, profiling these networks across diverse cell types and states has been limited due to the technical constraints of existing methods for mapping DNA:Protein interactions in single cells.

Laparoscopic versus open resection for hepatocellular carcinoma according to the procedure's complexity: real-world weighted data from a national register.

Background: Minimal access liver surgery (MALS) is considered superior to open liver resection (OLR) in reducing the perioperative risk in patients affected by hepatocellular carcinoma (HCC). No national-level comparisons exist based on procedure complexity. This study aims to compare postoperative complications, postoperative ascites (POA), and major complications (MC) between MALS and OLR.

The application of radiomics in cancer imaging with a focus on lung cancer, renal cell carcinoma, gastrointestinal cancer, and head and neck cancer: A systematic review.

Purpose: To study the application of radiomics in cancer imaging with a focus on lung cancer, renal cell carcinoma, gastrointestinal cancer, and head and neck cancer.

Methods: Different electronic databases were considered. Articles published in the last five years were analyzed (January 2019 and December 2023).

Non-Invasive Ventilation Failure in Pediatric ICU: A Machine Learning Driven Prediction.

: Non-invasive ventilation (NIV) has emerged as a possible first-step treatment to avoid invasive intubation in pediatric intensive care units (PICUs) due to its advantages in reducing intubation-associated risks. However, the timely identification of NIV failure is crucial to prevent adverse outcomes. This study aims to identify predictors of first-attempt NIV failure in PICU patients by testing various machine learning techniques and comparing their predictive abilities.

Clinical and genetic drivers of oligo-metastatic disease in colon cancer.

Background: Oligo-metastatic disease (OMD) in colon cancer patients exhibits distinct clinical behavior compared to poly-metastatic disease (PMD), with a more responsive and indolent course. This study aims to identify clinical and biological factors uniquely associated with oligo-metastatic behavior.

Methods: Metastatic colon cancer patients from an academic center underwent genetic characterization.