Description:[0001] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0002] The traditional use of nanotechnology in cancer therapeutics has been to improve the pharmacokinetics and reduce the systematic toxicities of chemotherapies through the selective targeting and delivery of these anti-cancer drugs to tumor tissues.
[0003] A number of different types of breast cancer treatment systems that are known in the prior art. For example, the following patents are provided for their supportive teachings and are all incorporated by reference.
[0004] Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape:- The combination of digital pathology (DP) with artificial intelligence (AI) offers faster, more accurate, and more comprehensive diagnoses, resulting in more precise individualized treatment. As this technology is constantly evolving, it is critical to understand the current state of AI applications in DP. Thus, it is necessary to analyze AI patent applications, assignees, and leaders in the field. In this study, five major patent databases, namely, those of the USPTO, EPO, KIPO, JPO, and CNIPA, were searched using key phrases, such as DP, AI, machine learning, and deep learning, and 523 patents were shortlisted based on the inclusion criteria. Our data demonstrated that the key areas of the patents were whole-slide imaging, segmentation, classification, and detection. In the past five years, an increasing trend in patent filing has been observed, mainly in a few prominent countries, with a focus on the digitization of pathological images and AI technologies that support the critical role of pathologists.
[0005] Artificial intelligence and machine learning in cancer imaging:- An increasing array of tools is being developed using artificial intelligence (AI) and machine learning (ML) for cancer imaging. The development of an optimal tool requires multidisciplinary engagement to ensure that the appropriate use case is met, as well as to undertake robust development and testing prior to its adoption into healthcare systems. This multidisciplinary review highlights key developments in the field. We discuss the challenges and opportunities of AI and ML in cancer imaging; considerations for the development of algorithms into tools that can be widely used and disseminated; and the development of the ecosystem needed to promote growth of AI and ML in cancer imaging.
[0006] The major potential of cancer nanotechnology includes the possibility to engineer nano-vehicles with multiple molecules because of their small size can penetrate significantly fewer side effects. The proposed invention focuses on analysing the efficacy of nano-materials in treating breast cancer.
[0007] Above information is presented as background information only to assist with an understanding of the present disclosure. No determination has been made, no assertion is made, and as to whether any of the above might be applicable as prior art with regard to the present invention.
[0008] In the view of the foregoing disadvantages inherent in the known types of breast cancer analysis systems now present in the prior art, the present invention provides an improved system. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved system to analyse the impact of various nanomaterials in treating breast cancer patients that has all the advantages of the prior art and none of the disadvantages.
SUMMARY OF INVENTION
[0009] In the view of the foregoing disadvantages inherent in the known types of nanomaterial analysis systems now present in the prior art, the present invention provides an improved one. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved system to analyse the efficacy of various nanomaterials in treating breast cancer which has all the advantages of the prior art and none of the disadvantages.
[0010] The main objective of the proposed invention is to design and implement a framework of Artificial Intelligence for understanding the efficacy of Nanomaterials in treating breast cancer. The invention focuses on achieving targeted delivery of drugs.
[0011] Yet another important aspect of the proposed invention is to design a framework of Artificial Intelligence that will consider a database of Nanomaterials. Their properties are analysed using classification algorithm and predictive algorithms. The results of predictive unit are displayed on the display unit
[0012] In this respect, before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not limited in its application to the details of construction and to the arrangements of the components set forth in the following description or illustrated in the various ways. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
[0013] These together with other objects of the invention, along with the various features of novelty which characterize the invention, are pointed out with particularity in the disclosure. For a better understanding of the invention, its operating advantages and the specific objects attained by its uses, reference should be had to the accompanying drawings and descriptive matter in which there are illustrated preferred embodiments of the invention.
BRIEF DESCRIPTION OF DRAWINGS
[0014] The invention will be better understood and objects other than those set forth above will become apparent when consideration is given to the following detailed description thereof. Such description makes reference to the annexed drawings wherein:
Figure 1 illustrates the schematic view of artificial intelligence-based approach for classification of nano-material based on their efficacy in treating breast cancer, according to the embodiment herein.
DETAILED DESCRIPTION OF INVENTION
[0015] In the following detailed description, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that the embodiments may be combined, or that other embodiments may be utilized and that structural and logical changes may be made without departing from the spirit and scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims and their equivalents.
[0016] While the present invention is described herein by way of example using several embodiments and illustrative drawings, those skilled in the art will recognize that the invention is neither intended to be limited to the embodiments of drawing or drawings described, nor intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention covers all modification/s, equivalents and alternatives falling within the spirit and scope of the present invention as defined by the appended claims. The headings are used for organizational purposes only and are not meant to limit the scope of the description or the claims. As used throughout this description, the word "may" be used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Further, the words "a" or "a" mean "at least one” and the word “plurality” means one or more, unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and any additional subject matter not recited, and is not intended to exclude any other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles and the like are included in the specification solely for the purpose of providing a context for the present invention.
[0017] In this disclosure, whenever an element or a group of elements is preceded with the transitional phrase "comprising", it is understood that we also contemplate the same element or group of elements with transitional phrases "consisting essentially of, "consisting", "selected from the group consisting of”, "including", or "is" preceding the recitation of the element or group of elements and vice versa.
[0018] Nanotechnology can provide rapid and sensitive detection of cancer-related molecules, enabling scientists to detect molecular changes even when they occur only in a small percentage of cells. Nanotechnology also has the potential to generate entirely novel and highly effective therapeutic agents.
[0019] Nanoparticles are a promising treatment option for cancers that are resistant to common therapies. In a new study that demonstrates an innovative and non-invasive approach to cancer treatment. The proposed invention focuses on analysing the efficacy of nano-materials in cancer treatment through algorithms of Artificial Intelligence.
[0020] Reference will now be made in detail to the exemplary embodiment of the present disclosure. Before describing the detailed embodiments that are in accordance with the present disclosure, it should be observed that the embodiment resides primarily in combinations arrangement of the system according to an embodiment herein and as exemplified in FIG. 1
[0021] Figure 1 illustrates the schematic view of artificial intelligence based approach for classification of nano-material based on their efficacy in treating breast cancer 100. The proposed system 100 includes a database of nano-materials 101 which is used to treat cancer patients 102. The Artificial Intelligence unit 103 will analyse the efficacy of Nanomaterials 101 by implementing algorithms of classification unit 104. The results of classification unit 104 is fed as input to predictive unit 105. The results of predictive unit 105 is displayed on display unit 106.
[0022] In the following description, for the purpose of explanation, numerous specific details are set forth in order to provide a thorough understanding of the arrangement of the system according to an embodiment herein. It will be apparent, however, to one skilled in the art that the present embodiment can be practiced without these specific details. In other instances, structures are shown in block diagram form only in order to avoid obscuring the present invention.
, Claims:1. Artificial intelligence based approach for classification of nano-material based on their efficacy in treating breast cancer, comprises of:-
Artificial intelligence unit;
Predictive unit;
Display unit;
Classification unit and
Nanomaterials.
2. Artificial intelligence based approach for classification of nano-material based on their efficacy in treating breast cancer, according to claim 1, includes an artificial intelligence unit, wherein the artificial intelligence unit will analyse the properties of various nanomaterials.
3. Artificial intelligence based approach for classification of nano-material based on their efficacy in treating breast cancer, according to claim 1, includes a predictive unit, wherein the predictive unit will predict the nanomaterial that is more efficient in treating breast cancer.
4. Artificial intelligence based approach for classification of nano-material based on their efficacy in treating breast cancer, according to claim 1, includes a display unit, wherein the display unit will display the results of predictive unit.
5. Artificial intelligence based approach for classification of nano-material based on their efficacy in treating breast cancer, according to claim 1, includes a classification unit, wherein the classification unit will classify the nanomaterials according to their efficiency.
6. Artificial intelligence based approach for classification of nano-material based on their efficacy in treating breast cancer, according to claim 1, includes a nanomaterial, wherein the nanomaterials that are used in treating breast cancer are stored in a database.