Artificial intelligence enhances the management of esophageal squamous cell carcinoma in the precision oncology era.

Esophageal squamous cell carcinoma (ESCC) is the most common histological type of esophageal cancer with a poor prognosis. Early diagnosis and prognosis assessment are crucial for improving the survival rate of ESCC patients. With the advancement of artificial intelligence (AI) technology and the proliferation of medical digital information, AI has demonstrated promising sensitivity and accuracy in assisting precise detection, treatment decision-making, and prognosis assessment of ESCC.

High prevalence of sexually transmitted infections and risk factors among HIV-positive individuals in Yunnan, China.

Background: Yunnan has the highest rates of HIV in China. Other treatable sexually transmitted infections (STIs) are associated with accelerated HIV transmission and poor ART outcomes, but are only diagnosed by syndromic algorithms.

Methods: We recruited 406 HIV-positive participants for a cross-sectional study (204 ART-naive and 202 receiving ART).

Mapping and functional analysis of high-copper accumulation mutant oshc1 in rice.

Copper (Cu) is an essential but potentially toxic element in rice. Little is known about the mechanism of rice grain Cu accumulation. In this study, we identified a high copper accumulation in grain 1 (oshc1) mutant from the wild type indica rice cultivar 9311 (WT) mutant bank.