Polymeric immunogel prevents tumor recurrence and metastasis by dual activation of innate and adaptive immunity.

Tumor recurrence and metastasis after surgery are important factors affecting patient survival. The immunosuppressed tumor microenvironment after surgery reduces the ability of the immune system to clear residual tumor cells, thus increasing the risk of recurrence and metastasis. Currently, immunotherapy-based adjuvant therapy can effectively inhibit tumor recurrence and metastasis after surgery, but simultaneous and efficient synergistic activation of adaptive and innate immunity is a challenge.

Enhanced photodynamic therapy through multienzyme-like MOF for cancer treatment.

Overcoming resistance to apoptosis is a major challenge in cancer therapy. Recent research has shown that manipulating mitochondria, the organelles critical for energy metabolism in tumor cells, can increase the effectiveness of photodynamic therapy and trigger apoptosis in tumor cells. However, there is currently insufficient research and effective methods to exploit mitochondrial damage to induce apoptosis in tumor cells and improve the effectiveness of photodynamic therapy.

A Network Model for Detecting Marine Floating Weak Targets Based on Multimodal Data Fusion of Radar Echoes.

Due to the interaction between floating weak targets and sea clutter in complex marine environments, it is necessary to distinguish targets and sea clutter from different dimensions by designing universal deep learning models. Therefore, in this paper, we introduce the concept of multimodal data fusion from the field of artificial intelligence (AI) to the marine target detection task. Using deep learning methods, a target detection network model based on the multimodal data fusion of radar echoes is proposed.