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 Yunnan Observatories of the Chinese Academy of Sciences has conducted a study on the binary fraction of Blue Horizontal-branch stars. Their findings provide the intrinsic binary fraction and reveal its relationship with metallicity, kinematics, and effective temperature.
A research team led by Prof. YANG Kai from the Institute of Physics of the Chinese Academy of Sciences, along with Prof. FERNÁNDEZ-ROSSIER Joaquín from International Iberian Nanotechnology Laboratory, demonstrated the all-electrical control of quantum interference in individual atomic spins on a surface.
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 developed a fully automated "Digital Colony Picker". This device identifies and retrieves high-performance microbial clones by simultaneously monitoring their growth and metabolite production—eliminating the need for culture plates, sampling needles, or manual picking.
A research team led by Prof. XU Pingyong from the Institute of Biophysics has developed an innovative approach to visualize and rapidly screen small peptide knockins. The new approach, termed ALFA Nanobody-guided Endogenous Labeling (ANGEL), solves a long-standing problem of high-throughput screening for nonfluorescent small peptide knockins.
A team led by Prof. LIU Xueyan from the Institute of Geochemistry of the Chinese Academy of Sciences has developed a new plant-soil nitrogen isotope process model, quantifying the fractional contribution of three nitrogen forms (nitrate, ammonium, and dissolved organic nitrogen) to the total nitrogen in global terrestrial plants.
A research team led by Prof. CHEN Jitao from the Nanjing Institute of Geology and Palaeontology of the Chinese Academy of Sciences, has developed a 60-million-year record of the Chemical Index of Alteration from a continuously deposited Carboniferous-to-Early Permian slope sequence in South China.
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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