Thy-DAMP: deep artificial neural network model for prediction of thyroid cancer mortality.

Purpose: Despite the rising incidence of differentiated thyroid cancer (DTC), mortality rates have remained relatively low yet crucial for effective patient management. This study aims to develop a deep neural network capable of predicting mortality in patients with differentiated thyroid cancer.

Methods: Leveraging data from the Surveillance, Epidemiology, and End Results (SEER) database, we developed Thy-DAMP (Deep Artificial Neural Network Model for Prediction of Thyroid Cancer) to forecast mortality in DTC patients.

Adherence to a western dietary pattern and risk of invasive ductal and lobular breast carcinomas: a case-control study.

Little is known about the role of diet in the risk of invasive ductal carcinoma (IDC) and invasive lobular carcinoma (ILC) of the breast, the most common histological subtypes of breast cancer (BC). This is because, the majority of studies on the association of diet and the risk of BC are focused on single food items, and studies considering the overall diet in terms of dietary patterns are limited. Also, the potential heterogeneity in the impact of Western diet (WD) on histological subtypes of BC is not established.

Double Whammy: Concomitant Acute Type B Aortic Dissection and Acute Pulmonary Embolism.

The concomitant occurrence of acute type B aortic dissection (TBAD) and acute pulmonary embolism (PE) is a rare but challenging condition. Although anticoagulation therapy is essential in the treatment of PE, it may increase the risk of aortic rupture and bleeding complications. We herein describe a patient with acute TBAD complicated by PE, which was successfully treated with early thoracic endovascular aortic repair (TEVAR) followed by anticoagulation.