Researchers from the Single-Cell Center at the Qingdao Institute of Bioenergy and Bioprocess Technology of the Chinese Academy of Sciences (CAS), together with collaborators, have developed an artificial intelligence-assisted Raman-activated cell sorting (AI-RACS) system. This innovative system has automated the isolation and functional analysis of aluminum-tolerant microorganisms (ATMs) from acidic soil, marking a shift from manual, labor-intensive procedures to high-throughput automated workflows.

In a paper published in MedComm, authors present evidence of convincing biomarkers for detecting colorectal adenomas with a propensity for colorectal cancer development, highlighting the importance of early genetic screening in colorectal cancer prevention. The genetic alterations of colorectal adenomas were compared with CRC patients from the ChangKang Project.

Severe skin injuries can leave patients unable to sweat, posing life-threatening risks like hyperthermia and heatstroke. Now, researchers have pioneered a groundbreaking method using six specific chemicals to reprogram human skin cells into sweat gland cells, or ciSGCs. When transplanted into damaged skin in mice, these cells accelerated healing, improved tissue quality, and restored fully functional sweat glands with neurosensory capabilities. This innovative approach offers a safe, non-genetic solution to regenerate skin's sweating functions, paving the way for personalized treatments and improving life quality for patients with extensive skin injuries.

Recently, a research group led by Prof. HUANG Chaoqun from the Hefei lnstitutes of Physical Science of the Chinese Academy of Sciences, developed an innovative dual drift tube ion mobility spectrometry (DDT-IMS) technology. This novel approach has successfully facilitated the rapid detection of both positive and negative ions of four toxic metabolites derived from 2,4,6-Trinitrotoluene (TNT), allowing for the detection of residual metabolites in the human body and providing valuable health warnings. 

Recently, a team led by Prof. HUANG Qing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, successfully used the gas-liquid interface dielectric barrier (DBD) low-temperature plasma (LTP) technology to prepare a series of Cu metal organic framework (MOF) nanozymes. 

Seeking to shed light on inconsistent brain activation patterns observed in previous studies of smell, a team of researchers in Lyon, France, used data mining techniques to analyze the pleasant or unpleasant odor sensations and corresponding brain scans of a group of 42 participants. They found characteristic patterns in the piriform cortex and amygdala. The group’s research was published August 1 in Intelligent Computing, a Science Partner Journal.

A cutting-edge study has unveiled the genetic mechanisms that shape the vibrant purple leaves of tea plants, renowned for their health-enhancing anthocyanins.

We are thrilled to announce that five of our journals include Fruit Research, Vegetable Research, Ornamental Plant Research, Grass Research and Forestry Research have been officially indexed in the Emerging Sources Citation Index (ESCI) of Web of Science. This achievement marks a significant milestone in our ongoing efforts to elevate the global visibility and academic impact of our journals.

The integration of large language models and neuro-symbolic cognitive architecture within self-improving adaptive instructional systems is proposed for educational support. The developed never ending open learning adaptive framework (NEOLAF) and its hosting platform, the open learning adaptive framework (OLAF), exemplify advanced AI implementation. Proof of concept testing has been conducted to enhance mathematical problem-solving abilities and evaluate interactive agent deployment in learning environments.