AZoLifeSciences on MSN
Genetic Analysis Uncovers Six Distinct Lineages of Global Tea Germplasm
Using 150 single-nucleotide polymorphism (SNP) markers across 252 tea accessions from India and China, researchers identified ...
This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...
Selenium-based compounds play vital roles in human and animal health; however, accurately detecting their various forms has long been a challenge. Researchers from Chiba University have developed a ...
Background Percutaneous ventricular assist devices (pVAD) have been increasingly used to support haemodynamics during ...
This important study presents a technically rigorous and carefully controlled analysis of the signalling potential of cancer-associated gain-of-function Notch alleles. The work is clearly presented, ...
A research team has uncovered five distinct evolutionary lineages of Camellia sinensis var. assamica, reshaping our understanding of tea domestication and diversity.
Objective This study aimed to investigate the prevalence of brachydactyly type A3 (BDA3) and its associated epiphysial development abnormalities in Chinese children aged 3–17 years, and to explore ...
Introduction Perinatal depression in low- and middle-income countries is a global health concern. Interventions to support ...
Artificial intelligence (AI) is set to transform the care of women with cancer. From early detection via digital phenotyping ...
Understanding, organizing, and validating data directly affects the accuracy of stories. New tools make cleaning accessible ...
Objective To investigate the occurrence of unintentional injuries among children aged 3 to 12 in China over the past 5 years, and to provide a scientific basis for the prevention and control of such ...
Graduate School of Economics, The University of Osaka, Osaka, Japan. Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock ...
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