5results about How to "Improve survival" patented technology

The application discloses a urine biomarker for ovarian cancer detection and a screening method and application thereof. The urine biomarker is selected from at least one of the following (1)-(5): (1) heterogeneous nuclear ribonucleoprotein A3; (2) polymeric immunoglobulin receptor; (3) small integral membrane protein 24; (4) collagen type V alpha 2 chain; and (5) microtubule-associated protein 2. The urine polypeptide group biomarker of the application has high sensitivity and specificity when used for ovarian cancer detection, and the detection process is simple and non-invasive, which is favorable for improving the early diagnosis rate of ovarian cancer and improving the survival period of ovarian cancer patients.

The invention relates to the technical field of immune cell preparation, and particularly discloses an NK cell culture medium, an NK cell and a culture method and application of the NK cell. The NK cell culture medium comprises cell factors IL2, IL21 and TGF beta; the system further comprises IL4. The NK cell obtaining method comprises the step of contacting cells with the culture medium. The NK cells obtained by the invention have relatively high cell proliferation ability, and the proliferation ability, motility and in-vivo effectiveness of the cells after cryopreservation recovery are high.

The invention relates to a vehicle collision safety control method and device, a vehicle and a storage medium. The method comprises the steps that the first distance between a current vehicle and a front target vehicle is collected; under the condition that the first distance is smaller than the preset safety distance, the current vehicle is controlled to conduct collision early warning reminding, the current vehicle is controlled to execute the braking action, and whether the current vehicle collides with the front target vehicle or not is judged; if the current vehicle collides with the front target vehicle, the state of at least one collision sensor is collected, and collision safety control is conducted according to the state of at least one collision sensor. Therefore, the problem that the safety air bag cannot be normally exploded in part of collision accidents due to the limitation of the perceptual ability of related technologies is solved; the problem that the driver and passengers cannot escape quickly due to the fact that the ejected safety air bag can shield the sight of the driver and passengers when the vehicle is seriously collided is solved, and the survival and escape efficiency of the driver and passengers is improved by improving the collision recognition precision and eliminating the interference of the safety air bag to escape.

This invention discloses a method for alleviating cadmium stress on duckweed using ethyl caffeate. With industrial development, cadmium pollution in water bodies seriously threatens the ecosystem and human health, and traditional remediation methods have shortcomings. Although duckweed has the potential for water body remediation, cadmium stress inhibits its growth. This invention, through concentration gradient experiments, determines the maximum Cd concentration that duckweed can withstand. 2+ The optimal concentration of ethyl caffeate for alleviating cadmium stress is 200 μmol, with a concentration of 10 μmol. Adding 200 μmol of ethyl caffeate per 100 ml of cadmium-contaminated water significantly promotes duckweed growth, increases leaf number, fresh weight, and root length, enhances antioxidant enzyme content, reduces MDA content, increases chlorophyll content, and strengthens photosynthesis. It also significantly reduces cadmium accumulation in duckweed, achieving efficient bioremediation of cadmium pollution in water bodies. This method is simple to operate, low in cost, and environmentally friendly, showing broad application prospects in the field of water pollution control.

This invention discloses a method and system for cancer prognostic analysis based on multi-omics data, belonging to the field of data analysis. This invention employs a variational autoencoder with an attention-integrated mechanism to achieve nonlinear dimensionality reduction, importance weighting, and deep encoding of high-dimensional multi-omics features. The decoder reconstructs input features from latent variables to retain original information. The loss function integrates reconstruction loss and KL divergence, and adjustable weights balance feature reconstruction accuracy and distribution constraints. This model retains biological interpretability while extracting features through deep learning, providing high-quality deep features for subsequent prognostic modeling. Through the organic combination of bioinformatics analysis and deep learning models, it achieves high-accuracy, robust, and highly interpretable prognostic predictions in pan-cancer scenarios, effectively addressing the technical shortcomings of traditional pan-cancer prognostic analysis, such as insufficient Cox model capabilities, deep learning black box issues, model overfitting, and lack of an integrated system.