Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study.

Background: Previous studies utilizing dual-energy CT (DECT) for evaluating treatment efficacy in nasopharyngeal cancinoma (NPC) are limited. This study aimed to investigate whether the parameters from DECT can predict the response to induction chemotherapy in NPC patients in two centers.

Methods: This two-center retrospective study included patients diagnosed with NPC who underwent contrast-enhanced DECT between March 2019 and November 2023.

Secretary bird optimization algorithm based on quantum computing and multiple strategies improvement for KELM diabetes classification.

The classification of chronic diseases has long been a prominent research focus in the field of public health, with widespread application of machine learning algorithms. Diabetes is one of the chronic diseases with a high prevalence worldwide and is considered a disease in its own right. Given the widespread nature of this chronic condition, numerous researchers are striving to develop robust machine learning algorithms for accurate classification.

Comparative analysis of oncological and surgical outcomes of robotic versus conventional mastectomy for breast cancer.

Objective: This study aimed to compare the surgical and oncological outcomes of robotic mastectomy (RM) and conventional mastectomy (CM) for breast cancer.

Methods: Our institutional registry of women with breast cancer who received RM between 2018 and 2023 and CM between 2016 and 2023 were reviewed. Propensity score matching of clinicopathological variables was used to match 123 RM patients with 123 CM patients.

Cloning and functional characterization of the caffeine oxidase gene CsCDH from Camellia sinensis.

Theacrine, a purine alkaloid with pharmacological effects such as calming and anti-depressive activities, is biosynthesized through a key rate-limiting enzyme, caffeine oxidase. Despite its importance, the caffeine oxidase gene (CsCDH) in Camellia sinensis has not been cloned to date. We successfully isolated the full-length CsCDH cDNA, which contains a 501-bp open reading frame (ORF) encoding a 166-amino-acid protein with a calculated molecular weight of 18.