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2024: Robots start touching women's breasts to detect breast cancer
In mid-October 2024, researchers from the Chinese University of Science and Technology introduced a soft robotic finger with advanced tactile abilities to perform a number of routine medical examinations, including pulse measurement and detection of tumor seals in breast tissue. It is assumed that this technology will improve the early detection of breast cancer, increasing the effectiveness of treatment, as well as make the examination itself more comfortable and less invasive for patients. Read more here
2023: Bra for early diagnosis of breast cancer introduced
On July 28, 2023, US researchers at the Massachusetts Institute of Technology (MIT) reported on the development of a smart bra for the early diagnosis of breast cancer. Read more here.
2022
Matmodel of scientists of the Perm Polytechnic will help predict the development of breast cancer
On August 12, 2022, representatives Perm Polytechnic announced that matmodel scientists Perm the Polytechnic would be able to predict development. cancer More. here
Development of "Jayvis Diagnostics" will help detect breast cancer in the early stages
The development of the Skolkovo resident will help detect breast cancer in the early stages. The Skolkovo Foundation announced this on August 2, 2022. Read more here.
2021
Creating an online test to detect breast and ovarian cancer risk
On September 8, 2021, the biopharmaceutical company AstraZeneca announced that, together with the service of online consultations of doctors and medical support of patients, RT-Doctis, has developed an online test with which women can independently check for risk factors for breast cancer (BC) and ovarian cancer (OC). According to the test results, women who are at risk can receive telemedicine advice and, if necessary, be examined by a specialized specialist. Read more here.
The start of sales of the breast cancer diagnosis system Imagio
At the end of January 2021, the American company Seno Medical announced the start of sales of an optical-acoustic imaging system, Imagio which allows you to distinguish benign or malignant breast lesions using a special one. software This non-invasive and radicalisation-free technology is thought to help reduce the number of breast biopsies. More. here
2020
Tomsk Oncology Dispensary introduced a neural network for the diagnosis of breast cancer
As it became known on November 9, 2020, the Tomsk Regional Oncological Dispensary introduced a neural network for the diagnosis of breast cancer. The artificial intelligence used is the development of Sberbank, the company said. Read more here.
«Galenos. Diagnosis "increased the possibility of conducting research for patients with breast cancer
On November 30, 2020, IT the company TECHLAB"" announced that it had completed participation in the program to support the diagnosis of HER2 status in patients. breast cancer More. here
"Biomarker-ru" raised $3.5 million to develop a test for early diagnosis of breast cancer
On September 17, 2020, the company Biomarker-ru"" announced that it had closed round A with a volume of 3.5 million dollars for development and promotion. ARNA Breast The lead investor was the venture capital fund Xploration Capital of Igor Kim and Yevgeny Timko. More. here
Scientists from Russia have proposed a device that will allow MRI of the breast on any medical tomograph
On August 3, 2020, it became known that a group of Russian scientists, which included researchers from ITMO University, proposed a universal device that allows MRI examinations of the mammary glands even in standard tomographs that do not have special equipment for this.
As explained, magnetic resonance imaging - as of August 2020, is considered a promising research method for detecting breast cancer at an early stage. Read more here.
Celsus neural network will be able to determine the presence of tumor cells in breast tissues
The creators neuronets for the analysis medical of images "" Cels began work in a different direction - pathomorphology. Now artificial intelligence the service will be able to analyze histological studies: study samples of breast tissues and determine the presence of tumor cells. This was announced on June 30, 2020 by the company "." Medical System Screening (Celsus) More. here
2019
Domestic radiothermograph for early diagnosis of breast cancer registered by Roszdravnadzor
In July 2019, the company's product RTM Diagnostics - a radiothermograph RTM-D2M for early - diagnostics breast cancer received a registration certificate. Roszdravnadzor More. here
A laboratory for the diagnosis and treatment of breast cancer was opened at the NTI Competence Center of the IBH RAS
On August 22, 2019, the Russian Venture Company (RVC) announced that the laboratory of biomolecular technologies for oncoterantics of the NTIIBH RAS Competence Center will develop innovative approaches for highly selective diagnosis and effective targeted therapy of cancer, in particular breast adenocarcinoma, ovarian cancer and other types of aggressive human tumors characterized by overexpression of HER2, HER1 and EpCAM receptors. Read more here.
Google's artificial intelligence detects breast cancer more accurately than doctors
In early January 2020, Google introduced a new AI technology that detects breast cancer in women with greater accuracy than rengtenologists. Read more here.
AI first began to successfully predict metastases in MRI images of the mammary glands
In late January 2019, researchers reported being able to use a relatively small dataset to train artificial intelligence to evaluate diagnostic images. According to an article published in the Journal of Digital Imaging, the research team prepared a program to predict the chances of developing axillary lymph node metastases in breast cancer according to MRI.
The AI program has only achieved 84% diagnostic accuracy, but the team is going to collect more data for training the algorithm to eventually use it in clinical practice. It is noted that AI first began to successfully predict metastases on MRI images of the mammary glands.
The team collected just 275 images of lymph nodes for the study, but recent advances in computing technology have enabled the development of artificial networks that can detect relationships in small datasets. Thanks to this, the AI application is able to detect regional metastases. The aim of the study is to use digital MRI data to recognize metastatic lymph nodes, which in the future will help surgeons minimize surgery to remove healthy lymph nodes in cancer patients.
AI is being used for the first time to predict metastases in axillary lymph nodes, the researchers note. By applying deep machine learning using a CNN-based algorithm, the researchers were able to obtain reasonable diagnostic efficacy in predicting axillary lymph node metastasis even with a small dataset. A larger database is likely to improve the prediction model and could potentially become a non-invasive alternative to a thick-needle biopsy and even a method of evaluating lymph nodes left over from surgery.[1]
2017
Annual breast cancer diagnosis reduces mortality by 40%
On August 21, 2017, Cancer magazine published the results of a study showing that the annual diagnosis of breast cancer using mammography allows a 40% reduction in the death rate of women in their 40s from this disease.
The author of the report is Dr. Elizabeth Kagan Arleo, who works at the Weill Cornell Medicine School of Medicine and New York Presbyterian Hospital.
 | Our findings are important and unprecedented because for the first time, the three most discussed recommendations for mammography screening are matched against each other. Our study will be helpful if women in their 40s start having breast exams every year. The long-term importance is that fewer women die from breast cancer, Arle reported. |  |
The recommendations the doctor refers to are as follows:
- every year women in their 40s should be screened for breast cancer (views of the American College of Radiology and the Breast Diagnosis Community);
- it is necessary to carry out diagnostics every two years from 50 to 74 years (American Working Group on Prevention);
- annual screening for women aged 45 to 54 and biannual screening for those aged 55 to 79 (American Cancer Society).
If you follow the first recommendation, then the probability of mortality from breast cancer is reduced by 39.6%. In the second and third cases - by 23.2% and 30.8%, respectively.
| | Annual screening saves more lives than other guidelines. This means that you need to repeat mammograms more often. The risks from them are much less compared to the saved life, "Dr. Edward Hendrick from the University of Colorado told the AuntMinnie.com portal.[2] | |
TechLAB helps diagnose breast cancer in 42 regions of Russia
According to the company TECHLAB"," in 2017, the system Galenos.Diagnostics"" helped to diagnose breast cancer in 42 regions. Russia So, for the whole of 2017, the GalenosDiagnostics decision recorded 32,651 studies, among which in 4,767 cases the "HER2-positive" molecular biological subtype was confirmed, which determines the high effectiveness of the use of targeted therapy. Another 11,232 cases were defined as "luminal A and B," in which the use of hormonal drug therapy is highly effective. Thus, with the use of an IT solution, the effectiveness of treatment and the chances of patients for long-term remission increase, according to TAdviser TechLAB on August 30, 2018. More. here
Notes
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