AIMC Topic: Beijing

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Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms.

The Lancet. Digital health
BACKGROUND: The application of deep learning to retinal photographs has yielded promising results in predicting age, sex, blood pressure, and haematological parameters. However, the broader applicability of retinal photograph-based deep learning for ...

Artificial and Natural Intelligence: From Invention to Discovery.

Neuron
An international group of researchers met in November 2019 in Beijing to explore the intersection of neuroscience and AI. The aim was to offer a fertile ground for stimulating discussions and ideas, including issues such as policy making and the futu...

[Effects of Soil Microbial Diversity on the Phosphate Fraction in the Rhizosphere of in the Yeyahu Wetland in Beijing, China].

Huan jing ke xue= Huanjing kexue
In this research, microorganisms in rhizosphere/non-rhizosphere soils of in the Yeyahu Wetland were studied. A sequential extraction procedure was used to analyze the phosphorus (P) forms in the rhizosphere/non-rhizosphere soil with a variety of pla...

[Endotoxin Contamination and Correlation with Other Water Quality Parameters of Groundwater from Self-Contained Wells in Beijing].

Huan jing ke xue= Huanjing kexue
A survey of endotoxin activity in groundwater from 14 self-contained wells in PLA units stationed in Beijing was conducted by the kinetic-turbid assay of Tachypleus Amebocyte Lysate (TAL). Bacteriological parameters, including total cell counts detec...