Events

Presenter: Yang Liu, PhD

Early cancer detection currently relies on screening the entire at-risk population, as with colonoscopy and mammography. Frequent, invasive surveillance of patients at risk for developing cancer carries financial, physical, and emotional burdens because clinicians lack tools to accurately predict which patients will actually progress into malignancy.

2015-09-18
Presenter: Xinghua Lu, MD, PhD

Cancer is a disease resulting from genome alterations.   Contemporary biotechnologies make genome-scale data from individual patients readily available, and personalized precision medicine based on specific genomic alterations of individual tumors presents promises of more effective therapy.   However, there are 3 major gaps hinder the translation from genome data  to personalized precision therapy.

2015-09-11
Presenter: Victoria Khersonsky
2015-09-04
Presenter: Jon Young and Amie Draper
 
Using Laboratory Data for Prediction of 30-Day Hospital Readmission
Amie Draper, BS, Doctoral Fellow
 
2015-04-24
Presenter: JoAnna Hillman, Adam Handen and Adam Roth

 

JoAnna Hillman, MPH, Doctoral Fellow

Title: Improving Situational Awareness in a High-Burden Labor and Delivery Suite in Malawi

2015-04-10
Presenter: Constantin Aliferis, MD, PhD, FACMI

Abstract:  This talk will address how advances in Machine Learning, especially used within a “Big Data” paradigm and exploiting new data generation and capture capabilities, are positioned to catalyze radical advances of Medical Science and the transformation of Healthcare.

2015-04-03
^