A holistic physics-informed neural network solution for precise destruction of breast tumors using focused ultrasound on a realistic breast model by Salman Lari, Hossein Rajabzadeh, Mohammad Kohandel, Hyock Ju Kwon

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Endotoxin Triggers Tumor Initiation Events in Nontumorigenic Breast Epithelial Cells and Enhances Invasion-Related Phenotype in Pretumorigenic and Tumorigenic Breast Epithelial Cells by Farah Yassine, Sabreen F. Fostok, Nataly Naser Al Deen, Rabih S. Talhouk

“…Inflammation is associated with the development of several cancers, including breast cancer. However, the molecular mechanisms driving breast cancer initiation or enhancement by inflammation are yet to be deciphered. …”
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NOTIFICATION: Development of a Novel Approach for Breast Cancer Prediction and Early Detection Using Minimally Invasive Procedures and Molecular Analysis: How Cytomorphology Became a Breast Cancer Risk Predictor by The Breast Journal

“…The Breast Journal…”
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NOTIFICATION: The Changing Role of Pathologists from Morphologists to Molecular Pathologists in the Era of Precision Medicine by The Breast Journal

“…The Breast Journal…”
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NOTIFICATION: The Role of Pathologists in Recognition of Morphologic and Biologic Features of Genetically Mutated Breast Cancer by The Breast Journal

“…The Breast Journal…”
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NOTIFICATION: Is it Ductal Carcinoma in Situ with Microinvasion or “Ductogenesis”? The Role of Myoepithelial Cell Markers by The Breast Journal

“…The Breast Journal…”
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Early-Stage Luminal B-like Breast Cancer Exhibits a More Immunosuppressive Tumor Microenvironment than Luminal A-like Breast Cancer by Tânia Moura, Olga Caramelo, Isabel Silva, Sandra Silva, Manuela Gonçalo, Maria Antónia Portilha, João N. Moreira, Ana M. Gil, Paula Laranjeira, Artur Paiva

Subjects: “…breast cancer…”
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Long-term trends in the incidence of male breast cancer and nomogram for predicting survival in male breast cancer patients: a population-based epidemiologic study by Aimin Huang, Daning Li, Zhe Fan, Jingfang Chen, Weidong Zhang, Wentao Wu

Subjects: “…Male breast cancer…”
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Diagnostic Accuracy of Mammography, Ultrasound, and Fine-Needle Aspiration in Detecting Breast Cancer in Patients with Painful Breast Masses:A Medical Record-Base Study by Hassan Vafapour, Sajad Borzoueisileh, Fatemeh Vafapour, Zafar Masoumi Moghaddam, Frough Nikeghbali, Yaghoub Barfar, Amir Hekmatifar

Subjects: “…Breast Cancer…”
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Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data by Jaqueline Alvarenga Silveira, Alexandre Ray da Silva, Mariana Zuliani Theodoro de Lima

Subjects: “…Breast cancer recurrence prediction…”
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Predictive model for determining the indications for automated 3D ultrasound for screening patients at low risk of developing breast tumors by A. E. Garanina, A. V. Kholin

Subjects: “…breast cancer…”
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Molecular docking of phytosterols in Stenochlaena palustris as anti-breast cancer by Dona Marisa, Lisda Hayatie, Siti Juliati, Eko Suhartono, Noer Komari

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Prioritizing breast cancer surgeries: insights from the KRONOS SCORE by Lucía Navarro, Lucía Navarro, Lucía Navarro, Luis Perez-Bartivas, Luis Perez-Bartivas, Luis Perez-Bartivas, David Ponferrada, David Ponferrada, David Ponferrada, Javier Cejas, Javier Cejas, Javier Cejas, Juan Adrián Camús, Juan Adrián Camús, Juan Adrián Camús, Natalia Rangel, Natalia Rangel, Natalia Rangel, Maria Porras, Cristina Morales Estevez, Cristina Morales Estevez, Cristina Morales Estevez, Amalia Palacios Eito, Amalia Palacios Eito, Amalia Palacios Eito, Pilar Rioja, Pilar Rioja, Pilar Rioja, Marina Alvarez, Marina Alvarez, Marina Alvarez, Enrique Aranda, Enrique Aranda, Enrique Aranda, Juan De La Haba-Rodríguez, Juan De La Haba-Rodríguez, Juan De La Haba-Rodríguez

Subjects: “…breast cancer…”
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Appropriate Contrast Enhancement Measures for Brain and Breast Cancer Images by Suneet Gupta, Rabins Porwal

“…This paper suggests the most appropriate measures for two of the medical images, namely, brain cancer images and breast cancer images.…”
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Risk prediction models for breast cancer: a systematic review by Jiang Li, He Li, Jie He, Ni Li, Yadi Zheng, Zheng Wu, Maomao Cao

“…Objectives To systematically review and critically appraise published studies of risk prediction models for breast cancer in the general population without breast cancer, and provide evidence for future research in the field.Design Systematic review using the Prediction model study Risk Of Bias Assessment Tool (PROBAST) framework.Data sources PubMed, the Cochrane Library and Embase were searched from inception to 16 December 2021.Eligibility criteria We included studies reporting multivariable models to estimate the individualised risk of developing female breast cancer among different ethnic groups. …”
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Federated Learning Approach for Breast Cancer Detection Based on DCNN by Hussain AlSalman, Mabrook S. Al-Rakhami, Taha Alfakih, Mohammad Mehedi Hassan

Subjects: “…Breast cancer detection…”
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Perivascular Invasion: A Promising Prognostic Parameter for Breast Cancer by Begüm Çalım GÜRBÜZ, Tuçe Söylemez AKKURT, Handan EREN, Hazal İzol ÖZMEN, Ebru ŞEN, Burçin PEHLİVANOĞLU

Subjects: “…breast…”
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Synchronous Occurrence of Primary Breast Carcinoma and Primary Colon Adenocarcinoma by Gurkan Yetkin, Fevzi Celayir, Ismail Ethem Akgun, Ramazan Ucak

“…Thoracoabdominal CT was performed for staging, and a spiculated contour mass was found incidentally on the left breast. Mammography and ultrasonography were performed for the cause of these findings, and suspicious lesions of malignancy were seen in the left breast. …”
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Improved Delay-and-Sum Beamforming Algorithm for Breast Cancer Detection by M. Klemm, I. J. Craddock, J. A. Leendertz, A. Preece, R. Benjamin

“…We have evaluated a modified delay-and-sum (DAS) beamforming algorithm for breast cancer detection with a microwave radar-based system. …”
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Family Aggregation and Risk Factors for Breast Cancer in Affected Individuals by Julio Armando Sánchez Delgado, Nailé Edita Sánchez Lara

“…<strong>Foundation:</strong> breast cancer is a systemic, multifactorial, polymorphic disease that develops in women with no family history of the disease. …”
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