Nanoparticle-mediated targeted drug delivery robotic system for precision treatment of breast cancer

Abstract

Provided is a nanoparticle-mediated targeted drug delivery robotic system for the precision treatment of breast cancer. **Solution**: This system 100 integrates robot-assisted movement, real-time image processing, an artificial intelligence-driven control mechanism, and sensor-guided targeting to ensure the accurate delivery of therapeutic drugs to cancer tissue while minimizing damage to surrounding healthy structures. The system consists of a six-degree-of-freedom articulated robotic arm 102, a drug release control actuator 114, a targeting module 106 equipped with optical and electromagnetic sensors, and a control unit 110 equipped with machine learning technology for real-time decision-making. The image subsystem 112 utilizes magnetic resonance imaging, ultrasound, and infrared imaging to provide a detailed anatomical and functional view of breast tissue. The artificial intelligence-driven technology of this system continuously processes image and sensor data, guides the robotic arm towards the tumor site, and dynamically adjusts the positioning based on physiological movements and tissue changes. A force feedback mechanism minimizes tissue damage during insertion, and an automatic calibration system finely adjusts the movement of the robotic arm in real time. The actuator is designed as an electric syringe or a controlled valve system to accurately administer nanoparticle-based therapeutic drugs directly to the tumor, optimizing the drug efficacy while suppressing systemic toxicity.

Description

Technical Field

[0001] The present invention relates to a nanoparticle-mediated targeted drug delivery robot system for precision treatment of breast cancer.

Background Art

[0002] Current approaches to breast cancer treatment, including systemic chemotherapy, radiation therapy, and surgical intervention, often result in collateral damage to healthy tissues, leading to significant side effects and suboptimal treatment outcomes. The lack of a targeted minimally invasive drug delivery system remains a major challenge in cancer treatment. Conventional methods cannot provide the precision required to ensure that therapeutic drugs reach the tumor site without affecting adjacent healthy tissues. The present invention addresses these limitations by introducing an advanced robotic system that combines real-time imaging, sensor-assisted targeting, and nanoparticle-based therapeutic drug delivery with high precision and minimal invasiveness.

[0003] The treatment of breast cancer has evolved significantly over the past few decades, with various approaches aimed at improving survival rates while minimizing secondary damage to healthy tissues. Traditional methods such as surgery, chemotherapy, and radiation therapy remain the main treatment options. Surgical interventions such as breast tumor excision or mastectomy remove cancerous tissue or the entire breast. These surgeries are effective in removing local tumors but often cause significant physical and psychological distress to patients. Additionally, surgery carries inherent risks such as the possibility of infections, scarring, and complications due to anesthesia. More importantly, surgical interventions cannot address microscopic cancer cells that may remain in surrounding tissues, which can lead to recurrence.

[0004] Chemotherapy is another cornerstone of breast cancer treatment and involves the systemic administration of cytotoxic agents designed to eliminate rapidly dividing cancer cells. Chemotherapy is effective but non-specific and affects both malignant and healthy cells. This lack of selectivity results in severe side effects such as hair loss, immunosuppression, nausea, fatigue, and organ toxicity. Furthermore, the effectiveness of chemotherapy is often compromised by drug resistance, as cancer cells adapt over time and become less responsive to treatment. Additionally, systemic chemotherapy exposes the entire body to cytotoxic agents, increasing the risk of long-term complications such as secondary malignancies and cardiotoxicity.

[0005] Radiation therapy is often used as adjuvant therapy after surgery or when surgical resection is not possible. This treatment method uses high-energy radiation to destroy cancer cells while attempting to spare healthy tissue. However, radiation therapy has several limitations, including the potential for damage to surrounding tissues, skin burns, and long-term complications such as fibrosis and secondary cancer. Additionally, the accuracy of radiation treatment is inherently limited by the patient's anatomical structure and the location of the tumor, making it difficult to completely eradicate all cancer cells while minimizing harm to adjacent structures.

[0006] Targeted therapy has emerged as a more refined approach, using monoclonal antibodies and small molecule inhibitors to interfere with specific molecular pathways involved in cancer progression. Drugs such as trastuzumab target human epidermal growth factor receptor 2-positive breast cancer and significantly improve patient outcomes. However, targeted therapy is only effective in a subset of patients with specific molecular markers, and its applicability is limited. Furthermore, cancer cells may develop compensatory pathways to evade treatment, making resistance to targeted therapy still an important issue.

[0007] Drug delivery systems based on nanotechnology have been developed to enhance the specificity of chemotherapeutic agents and reduce systemic toxicity. Liposomal formulations such as pegylated liposomal doxorubicin encapsulate cytotoxic agents in nanoscale carriers, extending circulation time, enhancing permeability and retention, and improving tumor targeting. These systems improve pharmacokinetics, but their passive targeting mechanisms are not sufficient to achieve precise drug delivery at the cellular level. Additionally, the accumulation of nanoparticles in non-target organs such as the liver and spleen remains a concern and may lead to off-target effects.

[0008] Another advancement in breast cancer treatment is the development of antibody-drug conjugates that combine the specificity of monoclonal antibodies with the cytotoxic efficacy of chemotherapeutic agents. These conjugates selectively bind to receptors on cancer cells and deliver a cytotoxic payload intracellularly. Antibody-drug conjugates such as ado-trastuzumab emtansine have shown significant clinical efficacy in human epidermal growth factor receptor 2-positive breast cancer. However, the effectiveness of antibody-drug conjugates is limited by the heterogeneity of receptor expression, resulting in incomplete targeting and the potential for residual cancer cells. Additionally, antibody-drug conjugates may cause side effects related to immune system activation and exposure to normal tissues.

[0009] To improve the precision of breast cancer surgery, minimally invasive robotic-assisted surgical techniques have been introduced. Robotic systems such as the da Vinci surgical system enhance dexterity and visualization, allowing surgeons to perform complex procedures while reducing trauma to surrounding tissues. However, since robotic-assisted surgery focuses primarily on tumor resection rather than targeted drug delivery, its application to breast cancer treatment beyond surgery is limited. Additionally, the high cost and steep learning curve associated with robotic surgery are barriers to its widespread adoption.

[0010] Drug delivery systems using magnetic and ultrasonic induced nanoparticles have been studied as an alternative to passive targeting. Magnetic nanoparticles functionalized with therapeutic drugs can be induced to the tumor site using an external magnetic field. This approach enhances drug localization while minimizing systemic exposure. However, there is a limit to the penetration depth of the magnetic field, and its effectiveness in deep-seated tumors is reduced. Similarly, ultrasonic triggered drug delivery systems utilize focused ultrasound to facilitate nanoparticle penetration into tumor tissue. Although promising, drug delivery using ultrasound is still experimental and requires further optimization to achieve consistent therapeutic effects.

[0011] To improve precision medicine, artificial intelligence and machine learning are being incorporated into cancer diagnosis and treatment planning. AI-driven image analysis can detect tumors at earlier stages and predict treatment outcomes based on patient-specific data. Additionally, robotic systems equipped with artificial intelligence are being studied for automated biopsy procedures and targeted therapy administration. Although these technologies hold great potential, their implementation for real-time treatment intervention is still in its infancy and requires extensive validation and regulatory approval for widespread clinical adoption.

[0012] The limitations of existing breast cancer treatments have highlighted the need for more advanced, minimally invasive, and precise treatment approaches. The ideal solution is to combine real-time image processing, sensor-based targeting, and automated drug delivery to maximize therapeutic effects while minimizing collateral damage. A robotic system that can detect cancerous tissue, dynamically adjust its position based on real-time feedback, and deliver therapeutic drugs with nanoparticle precision would be a major breakthrough in breast cancer treatment. By integrating AI-driven predictive modeling, force feedback mechanisms, and multimodal imaging, such a system could overcome the drawbacks of current treatment methods and provide an individualized patient-specific approach to breast cancer management.

[0013] The nanoparticle-mediated targeted drug delivery robotic system addresses the limitations of conventional and new treatment methods by providing a highly accurate, minimally invasive, and adaptable approach to breast cancer treatment. By integrating imaging modalities such as magnetic resonance imaging and ultrasound, it visualizes tumor characteristics in real-time and enables precise targeting. The sensor module equipped with optical, infrared, and electromagnetic sensors can identify cancer tissue with high specificity. The robotic arm with six degrees of freedom is guided by an artificial intelligence-driven control technology that continuously adjusts positioning based on image feedback, enabling accurate maneuvering within breast tissue. By incorporating a force feedback mechanism, it minimizes damage to tissue and ensures patient safety during the procedure. Additionally, if a deviation from the intended path is detected, a fail-safe mechanism halts operation to prevent unintended damage to healthy tissue.

[0014] The actuator-based drug delivery system ensures that the therapeutic agent is released in the exact amount only when the robotic arm is in the optimal position. This minimizes systemic exposure and enhances the local therapeutic effect. Furthermore, an automatic calibration system adjusts the movement of the robotic arm according to changes in tissue density, guaranteeing consistent targeting accuracy. The integration of a cooling mechanism prevents thermal damage during operation, and the built-in sterilization system ensures asepsis and reduces the risk of infection. The proposed robotic system also incorporates patient-specific data-based predictive modeling, enabling the optimization of personalized treatment. By analyzing tumor characteristics, tissue composition, and patient response, the system can dynamically adapt the drug delivery strategy to maximize effectiveness. This approach allows each patient to receive a customized treatment regimen, improving overall treatment outcomes.

[0015] The introduction of a targeted drug delivery robotic system via nanoparticles overcomes these challenges and enables highly precise and minimally invasive therapeutic interventions by integrating real-time imaging, sensor-guided navigation, and artificial intelligence-driven control. This system represents an innovative leap in precision oncology and offers a new paradigm for breast cancer treatment that prioritizes efficacy, safety, and patient-specific care.

Summary of the Invention

Problems to be Solved by the Invention

[0016] The present invention provides a robotic system for the precise treatment of breast cancer, incorporating a robotic arm configured to move minimally invasively within a patient's body. This system includes a targeting mechanism that utilizes a dedicated targeting module equipped with an actuator for guiding and positioning the robotic arm at a predetermined location within breast tissue. The sensor module is integrated to detect cancer tissue and associated biomarkers, enabling precise targeting of therapeutic agents.

[0017] The system is controlled by a central processing unit, which communicates with the robotic arm and the targeting system. The control device processes real-time image data to determine the exact location of cancer tissue and dynamically adjusts the position of the robotic arm based on these inputs. The image subsystem includes modalities such as ultrasound, magnetic resonance imaging, and infrared imaging to provide real-time guidance and enhance visualization. An actuator linked to the robotic arm releases therapeutic agents at the target site based on the real-time position adjustment of the system.

[0018] The present invention further includes a navigation system that utilizes image data for accurate positioning of the robotic arm, ensuring accurate movement to the target site. The sensor module incorporates optical, infrared, and electromagnetic sensors, detecting cancer tissues and biomarkers with high specificity. The robotic arm is equipped with multiple joints and actuators, enabling high-precision operation with six degrees of freedom. Furthermore, a force feedback mechanism is incorporated to minimize tissue damage during the insertion and operation of the robotic arm.

[0019] The image processing subsystem integrates magnetic resonance imaging and ultrasonic technology to visualize breast tissue and cancer sites with high resolution. The control unit dynamically adjusts the speed, position, and angle of the robotic arm according to real-time image feedback, optimizing the delivery accuracy of therapeutic drugs. The actuator is configured as an electric syringe or a control valve system to ensure accurate dosing. The automatic calibration system adjusts the movement of the robotic arm based on changes in tissue density, ensuring optimal targeting and delivery.

[0020] To prevent unexpected thermal damage, the robotic arm is equipped with a cooling mechanism that maintains the integrity of the tissue during treatment. The fail-safe mechanism within the control device stops the operation of the robotic arm if a deviation from a predefined safe range is detected based on real-time sensor feedback. Furthermore, the image processing subsystem includes a 3D reconstruction system that provides spatial orientation and enhanced depth perception, further improving the accuracy of drug delivery.

[0021] The control unit is programmed to perform predictive modeling based on patient-specific data, optimizing the movement path and therapeutic drug delivery protocol for individualized treatment. The robotic arm also integrates a sterilization mechanism to prevent contamination, ensuring safe operation inside the patient's body.

[0022] The main objective of this invention is to develop a nanoparticle-mediated targeted drug delivery robotic system for the precise treatment of breast cancer, ensuring high precision, minimally invasive, and individualized treatment. This invention aims to overcome the limitations of conventional breast cancer treatment methods by integrating robot-assisted precision, real-time imaging, sensor-based targeting, and controlled therapeutic drug delivery. By addressing the drawbacks of systemic chemotherapy, inaccurate radiation therapy, and invasive surgical procedures, this invention provides a novel approach to enhance the therapeutic effect while minimizing side effects and collateral damage to healthy tissues.

Means for Solving the Problems

[0023] This invention is for solving the above problems and is a nanoparticle-mediated targeted drug delivery robotic system for the precise treatment of breast cancer, comprising a robotic arm configured to perform accurate and minimally invasive operations within a patient's body; a targeting system configured to direct a therapeutic agent to a target site within breast tissue; a targeting module having at least one actuator for guiding and positioning the robotic arm at a predetermined position within breast tissue; a sensor module configured to detect biomarkers associated with cancerous tissue or cancer cells; a control unit in communication with the robotic arm and the targeting system, wherein the control unit comprises a processor configured to analyze real-time image data, determine the exact position of cancerous tissue, and adjust the movement of the robotic arm based on the detected position of the cancerous tissue, and an image subsystem configured to provide real-time image data for guiding the robotic system during operation, the image subsystem including at least one of ultrasonic, magnetic resonance imaging, or infrared imaging, an actuator operably connected to the robotic arm and configured to release a therapeutic agent at the target site based on the adjusted positioning of the robotic arm, wherein the actuator includes a control valve system configured to release an accurate amount of the therapeutic agent at the target site.

Brief Description of the Drawings

[0024] These and other features, aspects, and advantages of the present invention will be better understood upon reading the following detailed description with reference to the accompanying drawings.

[0025] FIG. 1 is a block diagram of a nanoparticle-mediated targeted drug delivery robotic system for precision treatment of breast cancer.

[0026] Furthermore, those skilled in the art will understand that the elements in the drawings are illustrated for simplicity and may not necessarily be drawn to scale. For example, a flowchart illustrates a system from the perspective of the most prominent steps involved so as to assist in understanding the aspects of the present disclosure. Additionally, with regard to the structure of an apparatus, one or more components of the apparatus may be represented in the drawings by conventional symbols, and the drawings may show only specific details appropriate for understanding the embodiments of the present disclosure without obscuring the drawings with details that will be readily apparent to those skilled in the art having the benefit of the description herein.

Best Mode for Carrying Out the Invention

[0027] Hereinafter, for the purpose of facilitating understanding of the principles of the present invention, reference will be made to the embodiments illustrated in the drawings and described using specific language. Nevertheless, the limitation of the scope of the present invention is not thereby intended, and such changes and further modifications in the illustrated system, as well as such further applications of the principles of the present invention illustrated therein, are contemplated as would normally occur to those skilled in the art to which the present invention pertains.

[0028] It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the present invention and are not intended to be limiting thereof.

[0029] Throughout this specification, references to "one embodiment", "another embodiment" or similar language mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, appearances of the phrases "in one embodiment", "in another embodiment", and similar language throughout this specification do not necessarily all refer to the same embodiment.

[0030] "Comprise", "comprising", or other variations thereof are intended to cover non-exclusive inclusion, such that a process or system consisting of a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or system. Similarly, one or more devices or subsystems or elements or structures or components proceeded by "consisting of..." do not, without more constraints, preclude the existence of other devices or other subsystems or other elements or other structures or other components or additional devices or additional subsystems or additional elements or additional structures or additional components.

[0031] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The systems, systems and examples provided herein are illustrative only and not intended to be limiting.

[0032] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.

[0033] Referring to FIG. 1, a block diagram of a nanoparticle-mediated targeted drug delivery robotic system for precision therapy in breast cancer is shown. The system 100 comprises: a robotic arm (102) configured to perform accurate and minimally invasive operations within a patient's body; and a targeting system (104) configured to direct a therapeutic agent to a target site within breast tissue. The targeting system comprises: a targeting module (106) having at least one actuator for guiding and positioning the robotic arm at a predetermined position within breast tissue; a sensor module (108) configured to detect biomarkers associated with cancer tissue or cancer cells, enabling accurate targeting of the therapeutic agent to the cancer site; a control unit (110) in communication with the robotic arm and the targeting system, the control unit comprising: a processor configured to analyze real-time imaging data, determine the exact position of the cancer tissue, and adjust the movement of the robotic arm based on the detected position of the cancer tissue; an imaging subsystem (112) configured to provide real-time imaging data for guiding the robotic system during operation, the imaging subsystem comprising at least one of ultrasonic, magnetic resonance imaging, or infrared imaging; and an actuator (114) operably connected to the robotic arm and configured to release the therapeutic agent at the target site based on the adjusted position of the robotic arm.

[0034] In one embodiment, the aiming module (106) further comprises a navigation system that uses real-time image data to facilitate accurate positioning and movement of the robotic arm to the target site.

[0035] In one embodiment, the sensor module (108) of the targeting system comprises at least one sensor selected from the group consisting of an optical sensor, an infrared sensor, or an electromagnetic sensor to detect the presence of cancer tissue or a specific biomarker.

[0036] In one embodiment, the robotic arm (102) includes a plurality of joints and actuators that enable at least six degrees of freedom of movement, allowing for precise manipulation and positioning within breast tissue.

[0037] In one embodiment, the robotic arm (102) is further configured to include a force feedback mechanism to minimize tissue damage during insertion and positioning of the robotic arm into the body.

[0038] In one embodiment, the imaging subsystem (112) includes a combination of magnetic resonance imaging and ultrasonic technology to provide enhanced visualization of breast tissue and cancer sites.

[0039] In one embodiment, the control unit (110) is further programmed to adjust the speed, position, and angle of the robotic arm based on real-time feedback received from the imaging subsystem to ensure accurate delivery of therapeutic agents to cancerous tissue.

[0040] In one embodiment, the actuator (114) includes an electric syringe or a controlled valve system configured to release an accurate amount of therapeutic agent at the target site.

[0041] In one embodiment, the control unit (110) includes an automatic calibration system that adjusts the movement of the robotic arm based on fluctuations in tissue density to ensure optimal positioning of the therapeutic agent delivery mechanism.

[0042] In one embodiment, the robotic arm (102) is equipped with a cooling mechanism to minimize thermal damage to surrounding tissue during operation of the system.

[0043] In an embodiment, the control unit (110) includes a fail-safe mechanism that stops the operation of the robotic arm if the position of the arm deviates from a predefined safe range based on real-time feedback from the sensor module.

[0044] In an embodiment, the imaging subsystem (112) further includes a three-dimensional reconstruction system for providing spatial orientation of cancerous tissue within the breast and enhanced depth perception to facilitate accurate targeting and therapeutic agent delivery.

[0045] In an embodiment, the control unit (110) is programmed to perform predictive modeling based on patient-specific data to optimize the movement path and therapeutic agent delivery protocol.

[0046] In one embodiment, the robotic arm (102) is configured to further include a sterilization mechanism to prevent contamination of the system during insertion and operation within the patient's body.

[0047] The nanoparticle-mediated targeted drug delivery robotic system for precision treatment of breast cancer integrates advanced robotics, real-time imaging, sensor-based targeting, and artificial intelligence-driven control technology to ensure accurate and minimally invasive therapeutic agent delivery. This system relies on an advanced control architecture that dynamically adjusts the movement of the robotic arm, ensuring that drug administration occurs only at the precise location of the cancerous tissue while minimizing collateral damage to healthy structures. A detailed description of this system includes the hardware components, control technology, imaging modalities, and real-time feedback mechanisms that work in conjunction to enhance treatment accuracy.

[0048] The robotic arm at the core of this system is designed to have multiple actuators and six degrees of freedom to enable finely tuned movements within breast tissue. The robotic arm is equipped with force feedback sensors that monitor the pressure exerted on the surrounding tissue, minimizing trauma during insertion and positioning. This feedback mechanism is essential for maintaining optimal tissue integrity while delivering therapeutic agents to the designated site. The movement of the arm is directed by an artificial intelligence-driven control unit that processes real-time image data and sensor data to execute precise movements. The control unit continuously analyzes the shape and spatial orientation of the tumor and dynamically adjusts the trajectory of the robotic arm.

[0049] This targeting system consists of a multi-sensor module and a real-time imaging subsystem that work together to guide the robotic arm to the correct location of the tumor. The sensor module includes optical sensors, infrared sensors, and electromagnetic sensors that detect cancerous tissue based on specific biomarkers. These sensors provide data that is processed by a control unit equipped with artificial intelligence, which applies a probabilistic approach to distinguish malignant cells from healthy tissue. The real-time imaging subsystem incorporates magnetic resonance imaging, ultrasound, and infrared imaging to enhance visualization. These imaging modalities exhibit a synergistic effect, with magnetic resonance images providing high-resolution anatomical details, ultrasound images facilitating real-time depth perception, and infrared images identifying abnormal heat signatures associated with cancerous lesions. A three-dimensional reconstruction system processes these image inputs to generate a detailed spatial model of the tumor, enabling improved depth perception and more accurate targeting.

[0050] The technology for controlling the operation of the robotic system is based on a combination of predictive modeling, deep learning, and adaptive feedback control. This process begins with an initial calibration stage where the system scans the patient's breast tissue and constructs a baseline anatomical model. At this stage, the artificial intelligence model cross-references real-time image data with a database of known cancer tissue characteristics to determine the optimal insertion trajectory. The trajectory planning module uses inverse kinematics technology to calculate the most efficient movement path for the robotic arm while avoiding unnecessary tissue damage.

[0051] Once the system is calibrated, real-time goal setting and adjustment techniques come into play. This technology follows a multi-layer control approach consisting of the following steps:

[0052] Image processing and feature extraction are performed by an image subsystem that continuously acquires data from magnetic resonance images and ultrasound. This data is processed using a convolutional neural network to extract features related to tumor detection. The convolutional neural network model has been trained on thousands of breast cancer image datasets and can distinguish malignant and non-malignant regions with high accuracy.

[0053] In tumor localization and path planning, the extracted features are input into a predictive tumor localization model to map the location of cancer tissue in three-dimensional space. Real-time path planning technology based on the fast search method of a random tree calculates the optimal movement trajectory of the robotic arm. This technology ensures that the robotic arm follows a collision-free path while considering the patient's individual anatomical constraints.

[0054] Adaptive positioning and force feedback control ensure accurate targeting. As the robotic arm moves towards the target site, real-time sensor feedback is continuously integrated into a Kalman filtering-based motion correction model. This model corrects physiological movements such as breathing and ensures that the robotic arm maintains an accurate trajectory even if the patient's position shifts slightly. The force feedback control mechanism further refines the positioning by adjusting the pressure level based on tissue resistance.

[0055] Optimization of therapeutic drug administration occurs when the robotic arm reaches the target site and the actuator control system activates to release the therapeutic drug. The actuator is designed as an electric syringe or a control valve system and is programmed to administer an accurate drug dosage based on the pre-calculated tumor volume and density. The dosage optimization technique utilizes reinforcement learning techniques to dynamically adjust the drug delivery parameters. This technique learns from past treatments and patient responses to ensure that the dosage is neither excessive nor insufficient.

[0056] The automatic calibration and safety mechanisms operate throughout the procedure. The automatic calibration system continuously fine-tunes the movement of the robotic arm based on changes in breast tissue density. This system employs an adaptive proportional-integral-derivative control loop to dynamically adjust the motion parameters in real-time. Additionally, a fail-safe mechanism is implemented to stop the movement of the robotic arm if a deviation from the pre-set trajectory exceeds a safety threshold. This fail-safe system is particularly important in preventing unintended tissue perforation or damage to vital structures.

[0057] Predictive modeling leveraging artificial intelligence enhances personalized treatment plans. This system integrates machine learning-based predictive modeling to develop treatment plans tailored to individual patients. By analyzing past patient data and tumor progression patterns, the artificial intelligence model predicts the most effective drug delivery protocol for each case. This optimizes treatment based on factors such as tumor size, molecular composition, and past treatment response.

[0058] Post-treatment monitoring and data analysis continue even after drug administration, with the imaging subsystem monitoring for signs of residual cancer activity at the treatment site. The system's deep learning analysis module evaluates post-treatment image data to determine whether further intervention is necessary. Additionally, the collected data is stored and analyzed through continuous learning to improve future treatment strategies.

[0059] The robotic system also incorporates a cooling mechanism and a sterilization system to ensure safe operation. The cooling mechanism prevents thermal damage to surrounding tissues by regulating the temperature of the robotic actuators. On the other hand, the built-in sterilization system prevents microbial contamination and reduces the risk of infections.

[0060] The integration of deep learning technology, predictive modeling, and real-time motion correction ensures unparalleled accuracy in targeting cancerous tissue. Unlike conventional treatment methods, this system delivers therapeutic agents directly to the tumor site with minimal invasiveness, significantly reducing systemic toxicity and side effects. By incorporating automatic calibration, force feedback mechanisms, and fail-safe controls, it enhances patient safety and procedural reliability, positioning this robotic system as an epoch-making innovation in precision oncology and targeted breast cancer treatment.

[0061] This robotic system consists of a mechanical structure, control electronics, and an advanced image-guided targeting system that ensures accurate delivery of therapeutic agents to the breast cancer site. The robotic arm at the core of the system is designed for minimally invasive navigation within breast tissue. This robotic arm is equipped with a series of actuators and joint mechanisms that enable six degrees of freedom of movement, ensuring highly controlled and accurate positioning. The robotic arm is integrated with a force feedback mechanism, enabling controlled insertion and positioning while minimizing trauma to surrounding healthy tissue.

[0062] The dedicated targeting system employs real-time image data and sensor-assisted tracking to facilitate the navigation and positioning of the robotic arm. The targeting module includes actuators that fine-tune the movement of the robotic arm to precisely align with the cancer site. The sensor module incorporates optical, infrared, and electromagnetic sensors to detect the characteristics of cancerous tissue and related biomarkers. These sensors relay data to the control unit, dynamically adjusting the trajectory of the robotic arm based on real-time physiological markers.

[0063] The imaging subsystem is crucial for the accuracy and efficiency of the present invention and consists of magnetic resonance imaging, ultrasound, and infrared imaging modalities that provide high-resolution visualization of breast tissue. The imaging data is continuously processed by the control device, which analyzes the real-time feed to improve the movement and positioning of the robotic arm. The image subsystem also includes a three-dimensional reconstruction system that enhances depth perception and spatial orientation, providing detailed visualization of the treatment site.

[0064] The control device functions as the central command of the system, utilizes the built-in processor to analyze real-time image data, adjusts the positioning of the robotic arm, and ensures accurate delivery of therapeutic drugs. This control technology dynamically adjusts the movement speed, angle, and trajectory of the robotic arm based on continuous images and feedback from sensors. This control device also has a fail-safe mechanism that immediately stops the operation when the robotic arm deviates from the preset safe range, preventing unintended tissue damage.

[0065] The actuator responsible for drug delivery is configured as an electric syringe or a control valve system. With this design, therapeutic drugs via nanoparticles can be directly and precisely administered to the cancer site. The actuator operates in synchronization with the positioning of the robotic arm, ensuring that the drug is administered only when the arm is in the optimal position to achieve maximum effect. Additionally, an automatic calibration system adjusts the movement of the robotic arm according to changes in breast tissue density, enhancing the accuracy of drug delivery.

[0066] To maintain tissue integrity and prevent thermal damage, the robotic arm is equipped with a cooling mechanism to regulate the operating temperature during the procedure. The sterilization mechanism incorporated into the robotic arm ensures contamination-free operation, prevents infection, and guarantees the safety of the procedure.

[0067] This robotic system represents a significant advancement in the precise treatment of breast cancer, offering a minimally invasive, highly accurate, sensor-guided targeted drug delivery method. The integration of real-time imaging, force feedback, and therapeutic drugs via nanoparticles ensures maximum effect while minimizing collateral damage to healthy tissue.

[0068] The technical field of this invention is medical robotics, oncology, and targeted drug delivery systems, with a particular focus on robotic-assisted precision therapy for breast cancer treatment. This invention relates to the development of an artificial intelligence-enabled robotic system that integrates real-time imaging, sensor-based targeting, and drug delivery via nanoparticles to improve the accuracy and effectiveness of cancer treatment. This system incorporates the principles of robotics, artificial intelligence, biomedical imaging, and nanomedicine to achieve a high degree of accuracy in drug administration. This system is designed to operate within a hospital or research facility and provides oncologists with an automated data-driven platform for administering therapeutic agents to malignant breast tissue. This system is particularly relevant to minimally invasive cancer treatment, robotic surgery, and precision oncology, where accurate drug administration is essential to improve patient outcomes. This invention aims to address the limitations in current breast cancer treatment by providing a targeted, adaptable, intelligent robotic system that can enhance the effectiveness of nanoparticle-based therapeutic agents while reducing collateral damage to surrounding tissues.

[0069] The drawings and the foregoing description illustrate examples of embodiments. Those skilled in the art will appreciate that it is fully possible to combine one or more of the described elements into a single functional element. Alternatively, a particular element may be divided into multiple functional elements. Elements of one embodiment may be added to another embodiment. For example, the order of the steps described herein may be changed and is not limited to the aspects described herein. Furthermore, the acts of any flowchart need not be performed in the order shown, nor do all acts necessarily need to be performed. Also, acts that do not depend on other acts may be performed in parallel with other acts. The scope of the embodiments is in no way limited by these specific examples. Numerous variations are possible, whether explicitly shown herein or not, including differences in structure, dimensions, use of materials, etc. The scope of the embodiments is as broad as at least the following claims provide.

[0070] The above has described advantages, other advantages, and solutions to problems with respect to specific embodiments. However, advantages, advantages, solutions to problems, and components that may give rise to or make more prominent advantages, advantages, or solutions are not to be construed as important, essential, or essential features or components of any or all of the claims.

Claims

1. A nanoparticle mediated targeted drug delivery robotic system for precision treatment of breast cancer, comprising: a robotic arm configured to perform precise and minimally invasive movements within a patient's body; A targeting system configured to deliver a therapeutic agent to a target site within breast tissue: a targeting module having at least one actuator for guiding and positioning the robotic arm at a predetermined location within breast tissue; a sensor module configured to detect a biomarker associated with cancerous tissue or cells; a control unit in communication with the robotic arm and the targeting system; wherein the control unit comprises a processor configured to analyze real-time image data, determine a precise location of cancerous tissue, and adjust the movement of the robotic arm based on the detected location of cancerous tissue; an imaging subsystem configured to provide real-time image data for guiding the robotic system during operation; wherein the imaging subsystem includes at least one of ultrasound, magnetic resonance imaging, or infrared imaging; an actuator operatively connected to the robotic arm and configured to release a therapeutic agent at a target site based on coordinated positioning of the robotic arm; wherein the actuator includes a controlled valve system configured to release precise amounts of a therapeutic agent to a target site. A nanoparticle-mediated targeted drug delivery robotic system for precision treatment of breast cancer.

2. the sensor module of the targeting system includes at least one sensor selected from the group consisting of an optical sensor, an infrared sensor, or an electromagnetic sensor for detecting the presence of cancer tissue or a specific biomarker; the robotic arm includes a plurality of joints and actuators enabling movement in at least six degrees of freedom; the robotic arm is further configured to include a force feedback mechanism to minimize tissue damage during insertion and positioning of the robotic arm within a body; The nanoparticle mediated targeted drug delivery robotic system for precision treatment of breast cancer of claim 1, wherein the imaging subsystem includes a combination of magnetic resonance imaging and ultrasound techniques to provide enhanced visualization of breast tissue and cancerous sites.

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