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دوراتنا
Cancer Biology
The healthcare system is a rapidly evolving field with new research leading to advancements in medicine. Developed at Johns Hopkins University and led by top-ranked Hopkins faculty and cancer experts, this specialization on Cancer Biology focuses on the basics of cancer biology, how cancer metastasis occurs, and specifically, screening guidelines for prostate cancer, the most common cancer in American men. This specialization starts with an Introduction to the Biology of Cancer, introduces the molecular biology of cancer and the biologic hallmarks of cancer.
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Course by
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Self Paced
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الإنجليزية
Breast Cancer Prediction Using Machine Learning
In this 2 hours long project-based course, you will learn to build a Logistic regression model using Scikit-learn to classify breast cancer as either Malignant or Benign. We will use the Breast Cancer Wisconsin (Diagnostic) Data Set from Kaggle. Our goal is to use a simple logistic regression classifier for cancer classification. We will be carrying out the entire project on the Google Colab environment. You will need a free Gmail account to complete this project. Please be aware of the fact that the dataset and the model in this project, can not be used in real-life.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Artificial Intelligence for Breast Cancer Detection
The objective of this course is to provide students the knowledge of artificial intelligence processing approaches to breast cancer detection. Students will take quizzes and participate in discussion sessions to reinforce critical concepts conveyed in the modules. Reading assignments, including journal papers to understand the topics in the modules, will be provided. The course is designed for students who are interested in the career of product development using artificial intelligence and would like to know how AI can be applied to mammography.
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Course by
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Self Paced
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15 ساعات
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الإنجليزية
Lymphoedema: Monitoring & Intervention After Breast Cancer
Lymphoedema following breast cancer treatment is a poorly understood and under-researched condition which can significantly impact physical and psychological function, reduce quality of life and result in substantial cost burdens to both patients and the healthcare system. In these interactive modules we will cover an introduction to lymphoedema, lymphatic physiology and anatomy, assessment and treatment, as well as utilise case studies to understand the prospective surveillance and early intervention model of care in breast cancer rehabilitation. This course is brought to you by the Au
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Course by
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Self Paced
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8 ساعات
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الإنجليزية
ML: Diagnose the presence of Breast Cancer with Python
In this 1-hour long project-based course, you will learn how to set up and run your Jupyter Notebook, load, preview and visualize data, then train, test and evaluate a machine learning model that predicts if a patient has breast cancer or not.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Using clinical health data for better healthcare
Digital health is rapidly being realised as the future of healthcare.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
Exploratory Data Analysis with Seaborn
Producing visualizations is an important first step in exploring and analyzing real-world data sets. As such, visualization is an indispensable method in any data scientist's toolbox. It is also a powerful tool to identify problems in analyses and for illustrating results.In this project-based course, we will employ the statistical data visualization library, Seaborn, to discover and explore the relationships in the Breast Cancer Wisconsin (Diagnostic) Data Set.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Introduction to Breast Cancer
Welcome to an Introduction to Breast Cancer! In this course, we’ll learn a bit about the leading cause of cancer in women worldwide – from the basic biology of the disease, to risk factors and prevention, to treatment modalities to survivorship. We’ll talk to leading experts, explore some of the milestone studies that have pushed this field forward, and have interactive discussions on discussion boards and social media. You’ll even have an opportunity to let us know what topics you want to cover on tweetchats, so we can try to make the content fit your interests.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Introduction to the Biology of Cancer
Over 500,000 people in the United States and over 8 million people worldwide are dying every year from cancer. As people live longer, the incidence of cancer is rising worldwide and the disease is expected to strike over 20 million people annually by 2030. This open course is designed for people who would like to develop an understanding of cancer and how it is prevented, diagnosed, and treated. The course introduces the molecular biology of cancer (oncogenes and tumor suppressor genes) as well as the biologic hallmarks of cancer.
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Course by
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Self Paced
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8 ساعات
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الإنجليزية