191 results about "Target organ" patented technology

The invention relates to the technical field of medical data processing, and discloses a disease risk assessment method based on a disease risk knowledge graph, the disease risk knowledge graph comprises a disease risk rule and a disease knowledge entity, and the disease knowledge entity comprises a focus position entity; performing organ positioning according to the physical examination data of the target object, and determining a target organ; performing organ matching and index data matching in a disease risk rule based on the target organ and the physical examination data to obtain a risk matching rule corresponding to the target organ; performing disease risk level analysis on the target organ according to the risk matching rule to obtain a disease risk level of the target object about the target organ; generating a physical examination report of the target object according to the physical examination data, the disease risk level and the target focus position; wherein the physical examination report comprises a three-dimensional model used for displaying the target focus position. The method has the beneficial effects that the pertinence and efficiency of disease risk assessment are improved, and the target object is helped to understand the health state of the target object.

The invention provides an organ soft tissue dynamic three-dimensional reconstruction method and system, a storage medium and equipment, and the method comprises the steps: obtaining a static CT image sequence, segmenting a target organ, extracting an organ contour, and generating a CT point cloud based on a CT coordinate system; acquiring an ultrasonic image sequence acquired by a positioning sensor bound on an ultrasonic probe, segmenting a target organ, and extracting an organ contour to generate an ultrasonic point cloud based on a positioning coordinate system; matching the positions of the CT point cloud and the ultrasonic point cloud through rigid registration to obtain the CT point cloud after rigid transformation; correcting the CT point cloud after rigid transformation through elastic registration, and generating a deformed CT point cloud; and generating an organ three-dimensional surface from the deformed CT point cloud through a surface generation algorithm to realize dynamic three-dimensional reconstruction based on a static CT image.

The invention discloses a radionuclide-labeled collagen hybrid peptide probe as well as a preparation method and application thereof. The chemical structural general formula of the radionuclide-labeled collagen hybrid peptide probe is (metal nuclide-chelating agent)-Linker-CHP, wherein the metal nuclide is selected from any one of Al18F, 64Cu, 67Cu, 67Ga, 68Ga, 99mTc, 89Zr, 111In, 177Lu, 186Re and 225Ac, and the metal nuclide is selected from any one of Al18F, 64Cu, 67Cu, 67Ga, 68Ga, 99mTc, 89Zr, 111In, the chelating agent is selected from any one of NODAGA, NOTA2 and DOTA; linker is a connecting joint, and CHP is a collagen hybrid peptide with a polypeptide sequence of (GfO) n or (GPO) n. The probe not only has the characteristic of radiochemical marking stability, but also has the excellent biological distribution characteristics of high uptake in target organs such as tumors and low uptake in non-target organs such as liver and kidney, and has a good clinical application prospect.

The present invention discloses methods for automatically computing an arterial input function from one or more regions of interest, the method comprising: a. obtaining a plurality of dynamic image data sets comprising volumetric image data from the regions of interest over multiple scanning intervals; b. utilizing an artificial neural network to segment the plurality of dynamic image data sets displaying one or more arterial input function(s) (AIF) in the region(s) of interest; c. automatically estimating, using artificial intelligence, an arterial input function based on plurality of dynamic image data sets combined with one or more time activity curves (TAC) in the region(s) of interest in target organ(s); and d. computing a pre-trained predictive pharmacokinetic AI model arterial input function using time activity curve input associated with region(s) of interest of target organ(s).

The invention is suitable for the field of medical post-operation management and control, and provides a post-paracentesis monitoring method, device and equipment and a storage medium, and the method comprises the steps: monitoring the affected part information of a patient after paracentesis based on a plurality of sensors; the affected part information comprises ultrasonic Doppler imaging information of a target organ area, pressure change information of a puncture part and the periphery, temperature distribution and temperature change information of the puncture part, and sound wave propagation change information of the puncture part and surrounding tissues; based on the affected part information, determining bleeding information of the puncture part; and when the bleeding information indicates that the bleeding condition exceeds the preset safety range, triggering an alarm. According to the scheme, the bleeding symptoms can be early recognized, and automatic monitoring and adjustment are achieved.

The invention discloses a multilevel liver targeting drug delivery system based on ionizable amino lipid and a preparation method thereof, the system comprises the following components: target modified ionizable amino lipid, ionizable amino lipid, auxiliary lipid and structural lipid in a molar ratio of (10-30): (30-60): (5-40): (15-55), according to the system, nano lipid particles exist in a water-in-oil-in-water nano emulsion form; wherein the ionizable ammonia lipid is a compound with a structure as shown in a formula (I). The system is suitable for delivering nucleic acid, protein and other active pharmaceutical ingredients to the liver so as to improve the accuracy and treatment effect of drug delivery and reduce the side effects of non-target organs.

The invention provides a medical image segmentation method fusing text guidance and pseudo tag optimization, and belongs to the technical field of medical image analysis. In view of the problem that accurate positioning based on semantic description is difficult to realize in a complex anatomical region due to the fact that a current medical image segmentation model generally lacks deep fusion of semantic information, firstly, logic relation cue words are designed for the shape, position and proximity relation of a target organ, and the understanding ability of the model for inter-organ structure semantics is enhanced; then, prompt words are coded by means of a CLIP pre-training model and fused into MedSAM for fine tuning, so that text information can guide positioning of a fuzzy boundary area more accurately; finally, a pseudo-label optimization strategy is introduced to effectively relieve the label noise problem caused by fuzzy edges, experiments are conducted on three public data sets AMOS22, BTCV and LiTS, the result shows that the method achieves comprehensive and advanced performance, and the excellent generalization ability and robustness of the method are fully verified.

The invention provides a multi-modal image registration method and system based on a deformation field, a storage medium and equipment, and the method comprises the steps: obtaining multi-modal images, including a 2D ultrasonic image and a 3D reconstruction image, and carrying out the coarse registration; obtaining a 2D ultrasonic image sequence of continuous frames, and obtaining rigid change parameters of the organ in a respiratory cycle; acquiring organ contour feature data points of each frame of 2D ultrasonic image, and performing elastic registration to obtain a 2D elastic deformation field of the organ; constructing a 2D-3D deformation function of the organ, and obtaining a 3D deformation field in a three-dimensional space; and updating vertex coordinates of the target organ in the 3D reconstruction image according to the 3D deformation field to obtain a mapped three-dimensional image to represent rigid and elastic changes of the organ. According to the method, by fusing the multi-modal image information and combining rigid and elastic deformation analysis, accurate registration of the ultrasonic image and the CT / MRI image is achieved, and the precision of multi-modal medical image registration is effectively improved.

The present teaching relates to estimating 3D pose of an ultrasound probe. An ultrasound image is acquired by an ultrasound probe deployed at a three-dimensional (3D) probe pose during a medical procedure directed to a target organ. A mask for each two-dimensional (2D) anatomical structure is identified and a corresponding label is estimated from the ultrasound image to generate an ASM / label pair. If a sequence of prior 3D probe poses does not exist, an ASM / label representation for the ultrasound image is generated based on the ASM / label pairs from the ultrasound image and used to estimate the 3D pose of the probe via an ASM-pose mapping model. If the sequence of prior 3D probe poses exists, the 3D probe pose is predicted based on the sequence of prior 3D probe poses and an ASM / label representation is generated based on a virtual ultrasound image created based on the predicted 3D probe pose.

The LNTPI is a surgical instrument used to cut through fibrotic and edematous tissue to define the natural tissue plane of dissection. After defining the natural tissue plane, it is designed to move or carefully insinuate tissues along these natural planes without cutting the tissue, so that targeted organs or parts thereof could be viewed and reached during laparoscopic procedures. The following features make the LNTPI unique compared to standard blunt dissectors used in laparoscopy: 1. The tip of the LNTPI is coarse and not smooth. The tip has diagonal, spiral ridges from the sides which are carried onto the tip converging as a single spiral at the center of the tip, creating a pattern resembling that of a screw; 2. The ridges of the LNTPI are comprised of asymmetrical triangular ridges with an acute angle at the apex that may be leaning along with or against the rotation of the spiral; 3. The tip of the LNTPI is made of tungsten carbide metal instead of stainless steel; 4. Dissection can be done in the usual up, down, left, and right motions as standard dissectors; 5. The side of the LNTPI can be used to "peel" tissue by using the ridges on its side combined with a twisting movement. This maneuver cannot be performed using standard dissectors; and 6. The tip of the LNTPI can perform circumferential dissection when used with a twisting movement causing it to engage tissue like a "drill" along the natural tissue plane. The ridges that converge into a single spiral at the tip of the invention appear like a screw and with the proper twisting movement have a similar effect on tissue. Because of the texture, design, and material used for the tip of the LNTPI, it has the following advantages over standard dissectors: The LNTPI can engage tissues more easily even if the tissues are slippery due to the presence of blood or fluids. The LNTPI can be used to engage tissues through a twisting motion which motion allows the tissues to be engaged in a specific manner that defines natural tissue dissection planes. The LNTPI can insinuate / "peel" tissue by using the side spiral ridges in combination with a twisting movement. The LNTPI can perform circumferential dissection by using the tip and the convergence of the spiral ridges at the center of the tip in combination with a twisting movement. The transfer of lateral shear force to the tissue at various angles (45, 90, and 180 degrees) when using the LNTPI is significantly higher whether the motion is by a sweeping motion or twisting of the instrument, allowing it to insinuate better than standard instruments, especially in a wet field. Hand movements needed in insinuating tissue using the LNTPI are different from the usual hand movements when using standard dissection instruments. The hand movements in using LNTPI require less muscular effort and repetitiveness, thus preventing muscle fatigue and repetitive use injury among surgeons. The instrument is reusable, as compared to dissectors that have fabric at the tip, which must be disposed of and replaced once the fabric tip fully absorbs the blood or other fluid in the wet tissue surface.

A system for limited view imaging is provided. The system may obtain a reference image of an object. The system may identify, from the reference image, one or more critical boundaries between a target organ of the object and one or more adjacent organs of the target organ. The system may determine an imaging angle range of the object based on the one or more critical boundaries. The system may further cause an imaging device to scan the object based on the imaging angle range, the object being in a breath-hold state during the scan.

The embodiment of the invention provides a target organ model registration method and system, electronic equipment and a storage medium, and belongs to the technical field of surgical navigation, and the method comprises the steps: obtaining target organ image data of a patient before an operation, and constructing a corresponding preoperative three-dimensional point cloud model based on the target organ image data; the method comprises the following steps: scanning target organ data of a patient in an operation to obtain image data in the operation, and constructing a corresponding three-dimensional point cloud model in the operation based on the image data in the operation; rigid body transformation parameters of the preoperative three-dimensional point cloud model and the intraoperative three-dimensional point cloud model are determined through an ICP registration algorithm, and the preoperative three-dimensional point cloud model and the intraoperative three-dimensional point cloud model are registered based on the rigid body transformation parameters. The embodiment of the invention aims at improving the real-time performance and the accuracy of target organ model registration, and further improving the accuracy and the real-time performance of surgical navigation.

The application discloses a use of Ejiao Qianggu oral liquid in regulating immunity, and particularly relates to an improving effect of the Ejiao Qianggu oral liquid on an immune system, which is realized by the following aspects. On one hand, the Ejiao Qianggu oral liquid promotes proliferation and transformation (mainly early T lymphocytes and part of B lymphocytes) and active functions of spleen lymphocytes; on the other hand, the Ejiao Qianggu oral liquid improves phagocytosis of macrophages. The Ejiao Qianggu oral liquid has the following characteristics: firstly, the Ejiao Qianggu oral liquid acts on early lymphocyte maturation, and has no significant effect on proliferation of peripheral blood lymphocytes; secondly, the Ejiao Qianggu oral liquid can significantly act on immune target organs, thymus and spleen tissues, and does not excessively stimulate the spleen, unlike positive drugs such as colony stimulating factor which can cause significant edema of the spleen; and thirdly, the Ejiao Qianggu oral liquid has a significant recovery effect on body weight, white blood cells, lymphocytes, red blood cells and hemoglobin in blood of patients with low immunity.

The invention discloses an intraoperative organ displacement real-time sensing method based on multi-modal fusion and a related device. The method comprises the following steps: firstly, synchronously acquiring optical, electromagnetic and blood flow signal data; then magnetic field intensity characteristics of the electromagnetic data are extracted, and filtering processing based on Kalman filtering and neural network weighted fusion is selectively carried out on the electromagnetic data according to the magnetic field intensity characteristics; thirdly, according to the real-time signal quality, the historical precision and the anatomical region attribute of the target organ, confidence coefficients are dynamically distributed for the three kinds of data; and finally, performing spatial registration on the multi-modal data based on the weight, and calculating final pose data of the organ. According to the invention, through intelligent filtering and dynamic weight distribution, robustness, anti-interference capability and positioning precision of organ displacement sensing in a complex operation environment are effectively improved.

The embodiment of the invention provides an organ tumor operation path planning method and system, electronic equipment and a storage medium, and belongs to the technical field of path planning, and the method comprises the steps: constructing a corresponding preoperative three-dimensional point cloud model based on a first image of a target organ obtained before an operation, constructing a corresponding intraoperative three-dimensional point cloud model based on a second target organ image scanned in the operation; carrying out registration on the preoperative three-dimensional point cloud model and the intraoperative three-dimensional point cloud model to obtain a registered target organ model; and inputting the target organ model into a preset path planning model, determining a necessary excision range, and determining a corresponding surgical excision path scheme based on the necessary excision range and a predetermined necessary reservation range. The embodiment of the invention aims to formulate a more accurate and safer surgical resection scheme, and the safety and reliability of subsequent actual target organ tumor surgery execution are guaranteed.

The invention relates to the technical field of medicines, in particular to a budesonide-loaded oral colon targeting delivery system, a preparation method and application. According to the delivery system, budesonide entrapped by Pickering emulsion serves as a core, and a low-ester pectin-calcium ion cross-linked inner layer and a low-ester pectin-chitosan polyelectrolyte composite outer layer are sequentially wrapped on the outer layer; the preparation process is realized by combining an emulsion template method with a layer-by-layer self-assembly technology, the obtained microcapsule is of a uniform spherical structure, the particle size is about 400 microns, and the microcapsule has a double-layer three-dimensional network structure. The delivery system is kept stable in the gastrointestinal environment and releases drugs rapidly only under the colon pH condition, in-vitro simulation experiments show that the drug release rate in the stomach / small intestine stage is lower than 5%, and the drugs are released rapidly in the colon stage. Animal experiments prove that the effect of treating ulcerative colitis is equivalent to that of mesalazine, the toxicity of the whole body is remarkably reduced, the residence time of the medicine at the colon part exceeds 24 hours, and the medicine is not accumulated in a non-target organ.

The present application relates to the technical field of biomedicine, and in particular to a glutamate urea compound, a preparation method and a use thereof, a nuclide targeting probe, a preparation method and a use thereof, and a pharmaceutical composition. The glutamate urea compound and the nuclide targeting probe provided by the present application have excellent in vivo biological properties, high specific uptake in lesions having high PSMA protein expression, high target-to-non-target ratio, low non-specific background activity, and significantly enhanced tumor uptake and retention time, are suitable for use as nuclide treatment and imaging of tumors, can also reduce unnecessary radioactive damage to normal tissues and organs, can overcome the defects of relatively low target organ uptake and excessively short retention time of small molecules acting on PSMA, exhibit improved targeted PSMA nuclide treatment and imaging effects, and have the potential for clinical promotion and application.

The invention relates to the technical field of medicines, in particular to application of osthole in preparation of a medicine for protecting cognitive function impairment caused by down-regulation of an estrogen receptor. The OST has an improvement effect on the learning and memory ability and pathological damage of 6-month-old female peripheral ERs down-regulated mice and ER alpha- / -mouse models. The mechanism of the OST for improving learning and memory may be related to improvement of neuroplasticity, inhibition of nerve apoptosis and enhancement of neurotransmitter by regulating and controlling an estrogen-cholinergic system by the OST. The OST has a better intervention effect on a 6-month-old female ER alpha- / -mouse model, and possibly is a kidney-tonifying medicine which acts on a related target spot of a peripheral target organ so as to participate in regulation of a cognitive function of a central system.

This invention relates to the field of medical and health device technology, and discloses a wearable AI-assisted pressure-controlled ischemia pretreatment training device, including a support base. A support plate is fixedly connected to the inner side of the support base, and a restraint strap is detachably connected to the inner side of the support plate. Two airbags are installed inside the restraint strap. Two fixed cylinders are fixedly connected to the outer side of the support base. A connecting tube 1 and a connecting tube 2 are sequentially connected to the outer side of each fixed cylinder. The end of the connecting tube 2 away from the fixed cylinder is connected to the interior of the airbags. A movable plate is slidably connected inside the fixed cylinders, and a movable rod is fixedly connected to the outer side of the movable plate. By setting up airbags 1 and 2 and combining them with an AI pretreatment training system, coordinated ischemia and reperfusion training of two target organs (finger and arm) can be achieved. This dual-site training stimulates a stronger anti-ischemic injury protection mechanism in the body, broadening the applicable population and training scenarios of the device.

This invention provides a training-free cross-domain single-sample medical image segmentation method, apparatus, device, and medium, comprising: S1, acquiring a support set and a query set to be segmented for a single-sample medical image, extracting multi-layer features, and constructing a region prototype based on a topology-aware prototype generation module to generate a dense similarity prior for the query slices; S2, calculating the anatomical scale factor of the target organ; S3, sequentially traversing the support set slices and query set slice combinations; S4, based on the anatomical scale factor and a preset scale threshold, dynamically routing and executing a decoupled adaptive prompting strategy to generate a set of positive and negative prompt points for the target organ; S5, inputting the set of positive and negative prompt points into a segmentation base model, and selecting the optimal two-dimensional mask prediction result from multiple candidate masks output by the segmentation base model; S6, aggregating the two-dimensional mask prediction results corresponding to all query slices, and obtaining the medical image segmentation result through a dynamic three-dimensional soft voting mechanism and morphological post-processing.

The invention relates to the technical field of biological medicines, and particularly discloses a chronic wound healing promoting traditional Chinese medicine compound loaded wound and ulcer paste, which comprises a hydrogel matrix and a traditional Chinese medicine compound, and the traditional Chinese medicine compound is prepared from the following raw materials in parts by weight: 5-15 parts of rheum officinale, 4-8 parts of bletilla striata, 15-25 parts of astragalus membranaceus, 5-15 parts of salvia miltiorrhiza, 1-5 parts of cinnamon and 0.5-1.5 parts of borneol. The wound and ulcer paste loaded with the traditional Chinese medicine compound for promoting chronic wound healing can continuously and stably act on a target organ, the wound is isolated from the outside to prevent infection, meanwhile, the drug effect can be better brought into play, and therefore the treatment effect of chronic wound healing is improved.

The present specification provides a surgical smoke processing method, a medical system and a computer device. Based on the method, before the operation is performed, the associated information of a target surgical instrument to be used and the associated information of a target organ to be operated can be acquired first; then, according to the associated information of the target surgical instrument and the associated information of the target organ, a matched first control parameter is determined; and then, according to the first control parameter, the smoke exhaust device can be started and controlled in the standby state in advance. During the operation, the smoke feature data can be determined in real time or at a fixed time according to the surgical image in the operation process; and then, according to the smoke feature data and the first control parameter, the smoke exhaust device is controlled to perform smoke removal processing. Thus, the smoke generated during the operation can be intelligently and accurately identified and automatically removed, the interference of the smoke on the operation field of view is effectively reduced, and the operation risk is reduced.

The present invention discloses a radioactive 2,7,9a-triazabenzo[cd]azurol-6(7H)-one derivative, a preparation method, and an application thereof, characterized in that the derivative has the structure of I. Compared with the prior art, the present invention provides a class of radioactive 2,7,9a-triazabenzo[cd]azurol-6(7H)-one derivatives with high affinity for PARP-1. These compounds have high affinity for PARP-1 and are novel compounds for diagnosing PARP-1-related diseases. Compared with previously reported PARP-1-targeted radiopharmaceuticals, the PARP-1-targeted imaging obtained by preparing the derivatives reported in the present invention has lower uptake in non-target organs such as the liver, muscle, and bone, and can cross the blood-brain barrier, making them applicable to whole-body imaging including the brain and abdomen.

The present application relates to the technical field of biological detection, and particularly relates to a DNA tetrahedron fluorescent probe and application thereof.In the microRNA targeting probe prepared based on DNA plasticity in the present application, different kinds of miRNA cause obvious fluorescence difference of DNA tetrahedron, that is, the DNA tetrahedron structure (TDN) can be used as a probe for detecting targeted nucleotides.By using the advantages of DNA tetrahedron nanostructure, such as natural biocompatibility, structural stability, programmability, easy internalization and editability, etc., and taking extracellular vesicles as a delivery platform, an EV-TDN complex can be synthesized to improve safety, enhance the effect of target organ / whole body signal ratio, and accurately quantitatively track the behavior of EV in mice without affecting the regenerative ability and therapeutic effect.The DNA tetrahedron fluorescent probe TDN designed in the present application can detect targeted nucleotides;the safety, accuracy, non-invasive, real-time and quantitative characterization of the fate of EV in lung organs and even life systems and the therapeutic effect can be used for biological sensing and disease diagnosis research.

The present application discloses an imaging device, comprising: a position information acquisition module for obtaining position information of a target organ; an irradiation depth determination module for determining the irradiation depth of imaging rays from a detection point into the interior of a human body based on the position of the detection point and the target detection depth; a light source focus control module for determining the focus information of multiple light sources based on a preset magnification and irradiation depth; an irradiation module for controlling the multiple light sources to generate imaging rays to irradiate the detection point based on the focus information; an imaging module for obtaining first imaging information of a tomographic scan based on a first remaining imaging ray passing through the detected position of the target organ; and obtaining an image of the target organ based on the first imaging information. The imaging device provided in the embodiments of the present application is capable of performing microscopic imaging of a target organ using imaging rays.

The present application belongs to the field of image recognition technology and provides an endoscope display enhancement method and system, the method comprising: acquiring an original endoscope image, processing the original image according to a preset algorithm to obtain an enhanced image; extracting a target organ image based on the enhanced image; detecting the lesion area in the target organ image according to a preset recognition algorithm, and evaluating the lesion condition of the target organ based on the lesion area; combining the lesion condition with the target organ image as auxiliary diagnostic information, and visually displaying it in combination with a preset interface layout principle. The present application can effectively improve the visual effect of the endoscopic image and can provide medical staff with reliable auxiliary diagnostic information.

The invention relates to a tumor prognosis prediction model training method, a tumor prognosis prediction model using method, a tumor prognosis prediction model training device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a first sample image and a second sample image of different sample users for a target organ, and a tumor prognosis tag corresponding to the second sample image; pre-training a diffusion model according to the first sample image so as to enable the diffusion model to learn the feature extraction capability of the target organ; the diffusion model comprises a coding network for feature extraction; generating a tumor prognosis prediction model comprising a prognosis classification network and a pre-trained coding network; and according to the second sample image and the corresponding tumor prognosis label, performing fine adjustment on the tumor prognosis prediction model to obtain a trained tumor prognosis prediction model. According to the invention, the feature extraction capability of the model can be improved, and the prediction performance of the tumor prognosis prediction model is further improved.

The invention relates to the technical field of medical treatment, in particular to an image segmentation method and system and a readable storage medium, and the method comprises the steps: obtaining a medical image of a patient; obtaining an initial segmentation image based on the obtained medical image and a trained first segmentation model; the trained first segmentation model is used for segmenting a target region and at least one organ at risk in the medical image; the initial segmentation image comprises a mask pattern of an initial segmentation region of the target region and a mask pattern of at least one initial segmentation region endangering organs; determining an initial overlapping degree of the target region and the target organ at risk based on the mask pattern of the initial segmentation region of the target region and the mask pattern of the initial segmentation region of the target organ at risk; the target endangered organ is any one of the at least one endangered organ; performing grading processing on the initial segmentation image based on the initial overlapping degree to obtain a target segmentation image; the overlapping degree of the target region and the target endangered organ in the target segmented image is smaller than a first preset threshold value.

The invention discloses application of chest protection in improving impact brain injury cognitive function influence, and relates to the technical field of biomedical engineering. Comprises: a rigid protective housing having a shape adapted to cover a main area of a torso of a subject; the energy dissipation inner core is borne by the rigid protective shell, is made of a polyurea polymer and is used for absorbing and dissipating impact energy through material deformation and stress dispersion when being subjected to impact wave load; and the fixing part is connected with the rigid protective shell and is used for stably fixing the chest protective device on the trunk of the object and exposing the head outside. The limitation of traditional brain injury protection is broken through, and experiments prove that under the plateau impact injury condition, non-direct injury target organs (lungs) are efficiently protected, and secondary brain injury and cognitive impairment can be remarkably relieved; the invention discloses a lung-brain interaction mechanism, and provides a brand new thought and target spot for impact injury protection.

The invention relates to ionizable amphiphilic Janus dendrimers with different linker lengths. In some embodiments, the different linkers enable delivery of the agent to a specific target of interest (e.g., kidney, heart, lung, liver, lymph nodes, spleen, or any combination thereof). In some embodiments, the invention relates to nanoparticles comprising said ionizable amphiphilic Janus dendrimers. In some embodiments, the invention relates to compositions comprising said ionizable amphiphilic Janus dendrimers. In some aspects, the present invention also relates to methods of inducing an adaptive immune response in a subject comprising administering to the subject an effective amount of said nanoparticle or said composition.