Abstract: The present invention discloses a method for enhancing the activity of a photosensitizer by a magnetic field, in which the photosensitizer is placed in the magnetic field under light conditions, thus improving the cytotoxicity of the photosensitizer to tumor cells and increasing the activity of the photosensitizer, thereby further enhancing the apoptosis of cancer cells or an inhibitory effect on tumor tissue by using photodynamic treatment methods, which helps to improve an effect of photodynamic therapy.

Abstract: The present disclosure provides a degradable near-infrared photosensitizer, a preparation method, and an application thereof, and relates to the technical field of photosensitizer. The degradable near-infrared photosensitizer may be any one of a porphyrin compound, and a pharmaceutically acceptable salt, a solvate, a non-covalent bonded composite, a complex, and a prodrug of the porphyrin compound, and a structure of the porphyrin compound may be as shown in formula 1: The present disclosure further provides a preparation method for the degradable near-infrared photosensitizer and an application of the degradable near-infrared photosensitizer.

Abstract: The present invention provides a porphyrin compound and its preparation method and uses, and also provides a pharmaceutical composition comprising the porphyrin compound as the active ingredient. The porphyrin compound according to the present invention has a novel modified structure, and can be derived and modified at multiple sites to achieve the biocompatibility modification and functional changes. The porphyrin compound has the absorption wavelength located in the near infrared region, which is contributed to realize the deeper tissue penetration and excellent photodynamic therapy activity.

Abstract: Embodiments of the present disclosure disclose an object detection method, an object detection apparatus, a related device, a storage medium and a vehicle. The method includes the following. Scene point cloud data is inputted into a point cloud feature extraction model pretrained to obtain a point cloud descriptive feature of the scene. Scene image data is input into an image feature extraction model pretrained to obtain an image descriptive feature of the scene. The point cloud descriptive feature and the image descriptive feature of each target region in the scene are input into an object identifying model to obtain a detection result of an object included in each target region.

Abstract: Embodiments of the present disclosure disclose an object detection method, an object detection apparatus, a related device, a storage medium and a vehicle. The method includes the following. Scene point cloud data is inputted into a point cloud feature extraction model pretrained to obtain a point cloud descriptive feature of the scene. Scene image data is input into an image feature extraction model pretrained to obtain an image descriptive feature of the scene. The point cloud descriptive feature and the image descriptive feature of each target region in the scene are input into an object identifying model to obtain a detection result of an object included in each target region.