Incidence and Predictors of Clinical Outcomes in Real-Life Patients With Atrial Fibrillation Treated With Oral Factor Xa Inhibitors: The Follow-Up Results of the ANATOLIA-AF Study.

Objective: The main objective of this study is to determine the incidence and predictors of clinical outcomes in patients with AF treated with factor Xa inhibitors in a real-world setting.

Methods: The present study was a multicentre and observational study that included patients with AF who were treated with factor Xa inhibitors. The primary outcome was the composite of ischemic stroke, TIA, systemic embolism, major bleeding, and all-cause mortality.

Enhancing Treatment Decisions for Advanced Non-Small Cell Lung Cancer with Epidermal Growth Factor Receptor Mutations: A Reinforcement Learning Approach.

Background: Although higher-generation TKIs are associated with improved progression-free survival in advanced NSCLC patients with EGFR mutations, the optimal selection of TKI treatment remains uncertain. To address this gap, we developed a web application powered by a reinforcement learning (RL) algorithm to assist in guiding initial TKI treatment decisions.

Methods: Clinical and mutational data from advanced NSCLC patients were retrospectively collected from 14 medical centers.

Effects of Banana Flour on Some Physicochemical, Textural, Bioactive, and Sensory Properties of Gluten-Free Cookie.

The present study aimed to investigate the effects of banana flours obtained from different banana cultivars (Grand Nain (GN), Azman (AZ), and Erdemli (ER)) on some basic physicochemical, bioactive, textural, and sensory properties of the gluten-free cookie samples by the simplex lattice mixture design approach. Incorporating banana powder into cookie samples resulted in significant changes in the parameters studied. The banana flours' total dietary fiber and total starch levels ranged between 1.