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From cancer treatment to microplastic pollution control, from artificial intelligence to microbial analysis, these breakthrough technologies are quietly changing our lives.
CAR-T cell therapy: the "nemesis" of cancer and autoimmune diseases
CAR-T cell therapy has made significant progress in the past few years and has become the standard treatment for many blood cancers. Tens of thousands of people worldwide have received this treatment, and some patients have even achieved long-term cancer free survival.
Nowadays, CAR-T cell therapy not only shines in the treatment of hematological tumors, but also shows great potential in the fields of solid tumors and autoimmune diseases.
For example, a research team from Massachusetts General Hospital has developed a CAR-T therapy for recurrent glioblastoma, and some patients experience rapid tumor shrinkage or even disappearance after treatment.
In addition, a German research team has successfully treated patients with severe systemic lupus erythematosus using CAR-T cell therapy, bringing new hope to patients with autoimmune diseases.
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Biological remediation technology: making microplastic pollution "nowhere to hide"
Microplastic pollution has become a major threat to the global environment, but scientists have found that certain bacteria can tolerate and degrade microplastics as a source of nutrition.
The team from Brunel University in London is researching how to enable these bacteria to form biofilms on plastic fragments, in order to more efficiently degrade microplastics.
Meanwhile, a team from the University of Missouri in the United States has developed a platform that utilizes white rot fungi to degrade harmful chemicals, which is expected to play an important role in fields such as wastewater treatment.
Why are chassis cells so important? Why are bioreactors so important for chassis cells?
Artificial Intelligence Basic Model: Unlocking the "Password" of Biological Systems
With the rapid development of artificial intelligence technology, biologists have also begun to utilize the powerful capabilities of AI to study complex biological systems.
For example, researchers have developed an AI model called scGPT based on single-cell transcriptome data, which can accurately classify cell types, identify gene networks, and predict the impact of mutations on gene expression.
In the future, scientists plan to integrate multiple basic models and build "virtual cells" to more comprehensively capture biological activities in cells and tissues, providing more powerful tools for disease research and drug development.
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Single cell microbial analysis: exploring the "mysteries" of the microbial world
The diversity of microbial communities has always been a focus of research for scientists.
In recent years, significant progress has been made in single-cell microbial analysis technology, such as the MATQ seq technology developed by the Helmholtz Institute in Germany, which can analyze the gene expression of thousands of microbial cells and provide strong support for the study of antibiotic resistance.
In addition, a team from the University of Toronto has developed DoTA seq technology, which captures individual cells through droplets and sequences them, revealing the mysteries of microbial DNA.
These technologies will help us better understand microbial ecology and evolution.
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