SCCI Digital Library and Forum

MIT

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126
Punnett squares
Getting up to Speed in Biology MIT Prof. Hazel Sive, Dr. Diviya Ray, Basic and Health Sciences
127
Recognizing macromolecules
Getting up to Speed in Biology MIT Prof. Hazel Sive, Dr. Diviya Ray, Basic and Health Sciences
128
Restriction digests 
Getting up to Speed in Biology MIT Prof. Hazel Sive, Dr. Diviya Ray, Basic and Health Sciences
129
The cell and how it works
Getting up to Speed in Biology MIT Prof. Hazel Sive, Dr. Diviya Ray, Basic and Health Sciences
130
Transcription 
Getting up to Speed in Biology MIT Prof. Hazel Sive, Dr. Diviya Ray, Basic and Health Sciences
131
Translation 
Getting up to Speed in Biology MIT Prof. Hazel Sive, Dr. Diviya Ray, Basic and Health Sciences
132
Types of bonds 
Getting up to Speed in Biology MIT Prof. Hazel Sive, Dr. Diviya Ray, Basic and Health Sciences
133
1. Translational Research and Advocacy
Health Information System (M-I-T) MIT Joia Mukherjee Basic and Health Sciences
134
10. Organizational Change Positive Deviance
Health Information System (M-I-T) MIT Jessica Haberer Basic and Health Sciences
135
11. The Millenium Global Village-Network
Health Information System (M-I-T) MIT Andrew Kanter Basic and Health Sciences
136
12. A Perspective on Monitoring and Evaluation
Health Information System (M-I-T) MIT Chaitali Sinha Basic and Health Sciences
137
2. Design and Impact of Health Information Systems
Health Information System (M-I-T) MIT Hamish Fraser Basic and Health Sciences
138
3. Overview of Quality Improvement
Health Information System (M-I-T) MIT Leo Anthony Celi Basic and Health Sciences
139
4. Health Systems Research
Health Information System (M-I-T) MIT Martin Were Basic and Health Sciences
140
5. Process Improvement Theory and Application
Health Information System (M-I-T) MIT Jonathan Jackson Basic and Health Sciences
141
6. Innovation and Adoption of New Practices
Health Information System (M-I-T) MIT Martin Were Basic and Health Sciences
142
7. WHO Safe Surgery and Safe Childbirth Checklists
Health Information System (M-I-T) MIT Alvin Kwok Basic and Health Sciences
143
8. What is Quality and Why Should We Measure It?
Health Information System (M-I-T) MIT Lisa Hirschhorn Basic and Health Sciences
144
9. Patient Safety in Resource-Poor Settings
Health Information System (M-I-T) MIT Pedro Delgado Basic and Health Sciences
145
Lecture 10: Application of Machine Learning to Cardiac Imaging (M-I-T)
Machine Learning for Healthcare (Spring 2019) (M-I-T) MIT Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag Basic and Health Sciences
146
Lecture 11: Differential Diagnosis (M-I-T)
Machine Learning for Healthcare (Spring 2019) (M-I-T) MIT Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag Basic and Health Sciences
147
Lecture 12: Machine Learning for Pathology (M-I-T)
Machine Learning for Healthcare (Spring 2019) (M-I-T) MIT Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag Basic and Health Sciences
148
Lecture 13: Machine Learning for Mammography (M-I-T)
Machine Learning for Healthcare (Spring 2019) (M-I-T) MIT Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag Basic and Health Sciences
149
Lecture 14: Causal Inference, Part 1 (M-I-T)
Machine Learning for Healthcare (Spring 2019) (M-I-T) MIT Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag Basic and Health Sciences
150
Lecture 15: Causal Inference, Part 2 (M-I-T)
Machine Learning for Healthcare (Spring 2019) (M-I-T) MIT Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag Basic and Health Sciences