Why the humanities matter more than ever: A ShanghaiTech scholar brings a global debate to Nature

Artificial intelligence (AI), biotechnology and other emerging technologies are transforming society at an unprecedented pace. As scientific advances continue to reshape the world, they are also raising increasingly complex questions about ethics, culture, history and governance.

2026-06-29

New treatment strategy for difficult-to-treat colorectal cancer

Researchers from ShanghaiTech University and Degron Therapeutics report HuR-targeted molecular glue degraders for BRAF-mutant colorectal cancer in a study published in Nature

2026-06-15

​Study reveals how a green tea compound may help protect the brain from obesity-related damage

A research team led by Assistant Professor Ma Zhiwei from the School of Biomedical Engineering (BME) at ShanghaiTech University, together with collaborators from Shanghai University of Traditional Chinese Medicine, has provided new evidence that a naturally occurring compound found in green tea may help protect the brain against obesity-related damage.

2026-06-15

Cheng Dengfeng group constructs a pretargeted radionuclide delivery system based on bioorthogonal click chemistry

Recently, a collaborative study led by Professor Dengfeng Cheng (Shanghai Clinical Research and Trial Center & the School of Biomedical Engineering, ShanghaiTech University) and Professor Zonghua Luo was published in Acta Pharmaceutica Sinica B (IF 14.6), a leading journal in pharmaceutical sciences.

2026-04-14

Landmark trial published in Nature: China’s novel base-editing therapy brings hope of cure for thalassemia patients

In a breakthrough for gene therapy, the international academic journal Nature has published a landmark clinical study detailing the successful use of a novel base-editing drug to treat β-thalassemia.

2026-04-09

Zhang Hui lab and collaborators reveal novel mechanism and intervention target for adverse cardiac remodeling post-myocardial infarction

Following myocardial infarction, the heart undergoes adverse remodeling driven by inflammation, cell necrosis, and fibrotic scar formation, ultimately leading to heart failure. However, the cellular and molecular mechanisms driving this process have not been fully elucidated.

2026-03-12

The GPNMB–RYK ligand–receptor pathway—a novel therapeutic target for MASH

2026-02-27

mTOR inhibitors broadly enhance the efficacy of proteasome-dependent targeted protein degradation approaches

In January, the research team led by Professor Cang Yong from the School of Life Science and Technology (SLST) at ShanghaiTech University, in collaboration with the team led by Dr. Lu Wei from the Hematology Department of Shanghai Ninth People’s Hospital, published a paper titled “Inhibition of mTOR Enhances the Efficacy of Proteasome-Dependent Targeted Protein Degradation Approaches” in Cancer Research. The study reveals the critical role of the mTOR signaling pathway in regulating the efficacy of proteasome-dependent TPD approaches, and proposes a novel clinical translati

2026-02-03

Scientists introduce a foundation model for cervical cytology screening

A team led by Professor Wang Qian from the School of Biomedical Engineering (BME) at ShanghaiTech University has published a new study in Cell Reports Medicine. The paper, titled “UniCAS: A foundation model for cervical cytology screening,” presents a specialized AI foundation model built for automated cervical cancer screening using ThinPrep Cytology Test (TCT) slides.

2026-01-30

Dual-pathway framework overcomes the naturalness-intelligibility trade-off in reconstructing authentic speech from brain signals

Recently, the research group led by Assistant Professor Li Yuanning from the School of Biomedical Engineering (BME) at ShanghaiTech University proposed an efficient acoustic-linguistic dual-pathway framework that achieves reconstruction of sentence-level speech with both naturalness and intelligibility, using only about 20 minutes of high-density electrocorticography (ECoG, a technique that directly records electrical signals from the brain’s cortical surface) data per participant. Their results were published in eLife.

2026-01-14