The purpose of this paper is to prepare micro-nanorobots using multi-field response hydrogels, and to explore their movement and interaction behavior under different stimulus conditions, as well as their application prospects in the simulated biological environment.

MXene is a new type of two-dimensional layered nanomaterial with excellent electrical conductivity, mechanical strength and optical properties, which is suitable for making flexible sensors. Flexible sensor is a device that can sense external stimuli and convert them into electrical signals, which can be applied to smart skin, wearable electronics, human-computer interaction and other fields.

To develop nano-materials with piezoelectric properties, such as piezoelectric ceramics, semiconductors, polymers, etc., and use the electrical signals or free radicals generated by them under the action of external forces to directly or indirectly kill tumor cells or pathogens, while realizing tumor imaging and monitoring.

DNA self-assembly technology is used to construct a nanorobot that can deliver thrombin in blood vessels to achieve targeted blockage of tumor blood vessels, so as to achieve the purpose of inhibiting tumor growth and metastasis

The aim of this study is to develop an AI-based tumor molecular typing and drug sensitivity prediction model to achieve accurate diagnosis and individualized treatment of tumors. This project will use a variety of artificial intelligence algorithms, such as deep learning, graph neural networks, reinforcement learning, etc., combined with a variety of data sources, such as genomics, transcriptomics, proteomics, metabolomics, imaging, etc., to build tumor molecular characterization and drug response prediction models, and use clinical data to verify and evaluate the models.

The aim of this paper is to develop a machine learning-based design and performance prediction method for high entropy alloys to achieve rapid screening, optimization and evaluation of high entropy alloys. The design and performance prediction of high entropy alloy were carried out with the target system of Al-Co-Cr-Cu-Fe-Ni, with hardness, strength, toughness and corrosion resistance as the target properties, and the comparison and verification with the experimental data were made.

The purpose of this project is to prepare skin tissue engineering scaffolds with good biological and mechanical properties by utilizing the high biocompatibility, antibacterial properties and the ability to promote cell proliferation and differentiation, and to repair and regenerate skin defects by modifying growth factors and stem cells.

This project aims to realize sensitive detection of tumor-related biomarkers (such as miRNA, circulating tumor cells, etc.) by utilizing the high fluorescence, low toxicity, and functionability of nanocarbon dots, and improve the accuracy and sensitivity of detection by designing signal amplification strategies (such as DNase, nucleic acid probes, etc.).

The aim of this project is to use the excellent optical properties of gold nanorods to achieve efficient photothermal ablation of tumors, and to activate immune cells in the tumor microenvironment by modifying immune stimulants, so as to achieve immunotherapy of tumors.

This paper aims to develop a multi-functional tumor diagnosis and treatment platform based on DNA nanostructure for early diagnosis and combined treatment of tumors. Using these advantages of DNA nanostructure, a multifunctional tumor diagnosis and treatment platform was designed.

The purpose of this paper is to use machine learning technology to establish a design and performance prediction model of high-entropy alloys based on multi-omics data (such as structure, mechanics, thermodynamics, dynamics, etc.), so as to provide guidance and support for the discovery and development of high-entropy alloys.

This project aims to use artificial intelligence technology to establish tumor molecular typing and drug sensitivity prediction models based on multi-omics data (such as genome, transcriptome, proteome, etc.), so as to provide personalized treatment plans for tumor patients.