YoVDO

Cancer Diagnostics - Opportunities and Challenges by Sudha Sundar

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Healthcare Data Analysis Courses Machine Learning Courses Logistic Regression Courses Biomedicine Courses Bayesian Methods Courses Deep Networks Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the opportunities and challenges in cancer diagnostics in this comprehensive lecture by Sudha Sundar. Delve into the latest advancements and potential breakthroughs in cancer detection and diagnosis. Gain insights into the current landscape of diagnostic techniques, emerging technologies, and their impact on patient outcomes. Examine the obstacles faced in developing and implementing effective diagnostic tools for various types of cancer. Learn about the role of precision medicine, biomarkers, and imaging technologies in improving cancer diagnostics. Understand the importance of early detection and accurate diagnosis in cancer treatment and management. Discover how interdisciplinary approaches, including machine learning and artificial intelligence, are shaping the future of cancer diagnostics. This informative talk is part of the "Machine Learning for Health and Disease" program organized by the International Centre for Theoretical Sciences, offering valuable knowledge for researchers, clinicians, and professionals in the field of oncology and medical diagnostics.

Syllabus

Cancer Diagnostics- Opportunities and Challenges by Sudha Sundar


Taught by

International Centre for Theoretical Sciences

Related Courses

Statistical Learning with R
Stanford University via edX
The Analytics Edge
Massachusetts Institute of Technology via edX
Regression Models
Johns Hopkins University via Coursera
Introduction à la statistique avec R
Université Paris SUD via France Université Numerique
Statistical Reasoning for Public Health 2: Regression Methods
Johns Hopkins University via Coursera