Assessing Malignant Risk in B3 Breast Lesions: Clinical Insights and Implications.

: B3 breast lesions, characterized by uncertain malignant potential, pose a significant challenge for clinicians. With the increasing use of preoperative biopsies, there is a need for careful management strategies, including watchful waiting, vacuum-assisted excision (VAE), and surgery. This study aims to assess the concordance between preoperative biopsy findings and postoperative histology, with a focus on evaluating the positive predictive value (PPV) for malignancy in B3 lesions.

Contrasting distributions and expression characteristics of transcribing repeats in Setaria viridis.

Repetitive DNA contributes significantly to plant genome size, adaptation, and evolution. However, little is understood about the transcription of repeats. This is addressed here in the plant green foxtail millet (Setaria viridis).

Clinical validation of an artificial intelligence-based decision support system for diagnosis and risk stratification of heart failure (STRATIFYHF): a protocol for a prospective, multicentre longitudinal study.

Introduction: Heart failure (HF) is a complex clinical syndrome. Accurate risk stratification and early diagnosis of HF are challenging as its signs and symptoms are non-specific. We propose to address this global challenge by developing the STRATIFYHF artificial intelligence-driven decision support system (DSS), which uses novel analytical methods in determining the risk, diagnosis and prognosis of HF.

Attenuates 5-Fluorouracil-Induced Intestinal Mucositis in Mice.

5-Fluorouracil (5-FU) is an antimetabolite widely prescribed in cancer treatments, but its use in highly proliferative tissues can cause significant problems such as mucositis. is a probiotic commonly used for protection against acute diarrhea, gastrointestinal dysbiosis and inflammatory bowel diseases. We investigated the effect of on 5-FU intestinal mucositis in mice.