A research team led by Prof. WAN Yinhua from the Institute of Process Engineering has developed a machine learning framework to analysis virus filtration processes in therapeutic protein purification. The new method enables intelligent identification of critical parameters affecting virus retention efficiency and provides predictive guidance for process optimization.
A research team led by Prof. WANG Shuqiang from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences introduced a Prior-Guided Adversarial Learning with Hypergraph (PALH) model for predicting abnormal connections in Alzheimer's disease.
A research team from the Hefei Institutes of Physical Science has constructed a copper (Cu) single-atom catalyst with a nitrogen-coordination structure. They used two-dimensional g-C3N4, derived from melamine pyrolysis, as a carrier to achieve efficient electrocatalytic urea synthesis under mild conditions.
Researchers from the Yunnan Observatories of the Chinese Academy of Sciences have unveiled a neural network-based automated method for identifying heartbeat stars—a rare type of binary star system.
SHEN Qilong's lab from the Shanghai Institute of Organic Chemistry of the Chinese Academy of Sciences, along with Professor K. N. Houk from the University of California, Los Angeles, provided solid evidence that the Ullmann-type reaction might proceed via a Cu(I)/Cu(III)/Cu(II)/Cu(III)/Cu(I) catalytic cycle.
A research team led by Prof. YUAN Junying and Prof. LIU Cong from the Shanghai Institute of Organic Chemistry of the Chinese Academy of Sciences revealed that amyloid fibrils formed by necroptosis mediators, RIPK1 and RIPK3, don’t just form within dying cells, they can also escape the cell and trigger necroptotic death in neighboring cells.
A research team from the Qingdao Institute of Bioenergy and Bioprocess Technology of the Chinese Academy of Sciences has identified a specific histone modification as the key regulator governing microalgae's adaptation to low-carbon dioxide environments.
Chinese researchers have developed a novel method to efficiently engineer natural killer (NK) cells for cancer immunotherapy.
A research team from the Institute of Applied Ecology of the Chinese Academy of Sciences has clarified the structure and function of synthetic microbial consortia, providing new insights for bioremediation of complex soil pollution.
A research team led by Prof. KOU Liang from the Institute of Geographic Sciences and Natural Resources Research of the Chinese Academy of Sciences, working with international collaborators, has revealed that due to their fast turnover and slow decomposition, absorptive roots' iterative effects generate 2.4 ± 0.1 megagrams of carbon per hectare in soil over two decades—surpassing the carbon contribution of leaves by 65%.
A research team has developed a nanocomposite-modified microelectrode array (MEA) that enables long-term, high-sensitivity monitoring of neuronal activity during hibernation. The study, led by Prof. CAI Xinxia from the Aerospace Information Research Institute of the Chinese Academy of Sciences, sheds light on how specific brain cells sustain life under extremely low metabolic states.
Researchers from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences and Donghua University reported a soft, movable, long-term implantable fiber electrode called “NeuroWorm,” marking a radical shift for bioelectronic interfaces from static operation to dynamic operation and from passive recording to active, intelligent exploration.
At the 2025 World AI Conference & High-Level Meeting on Global AI Governance, the “Loong Pro” humanoid robot, developed by the National and Local Joint Humanoid Robot Innovation Center, made its official debut.
A research team from the Hefei Institutes of Physical Science and the First Affiliated Hospital of Anhui Medical University has developed a microfluidic platform that enables label-free sorting and functional analysis of neutrophils in sepsis patients.
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