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An IV Hazard Model of Loan Default with an Application to Subprime Mortgage Cohorts
An IV Hazard Model of Loan Default with an Application to Subprime Mortgage Cohorts | Consumer Finance Initiative | Lending Markets
How Do Consumers Finance Increased Retirement Savings?
How Do Consumers Finance Increased Retirement Savings? | Consumer Finance Initiative | Retirement
Crowdsourcing to better forecast drug approvals
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
Growing importance of academia in accelerating biomedical innovation
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MIT researchers have developed a methodology for systematically tracking the outcomes of academic licensing transactions as a means of increasing funding to bridging the “valley of death.”
Gamification techniques to improve online teaching and learning
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A new study led by MIT Sloan Prof. Andrew W. Lo finds that borrowing ideas and tools from the gaming community can improve online teaching techniques and improve learning outcomes for students.
New statistical approach to COVID-19 clinical trials aims to accelerate drug approval process and attract more funding
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The studies describe new methods for accelerating drug approvals during pandemics and for providing more accurate measures of the probabilities of success for clinical trials of vaccines.
Clinical trial data key to personalization of treatment decisions
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MIT study explores the key factors behind patient outcomes in clinical trials evaluating new treatments for non-small-cell lung cancer.
Using data science to forecast clinical trial outcomes
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MIT Sloan and CSAIL researchers apply artificial intelligence techniques to one of the largest datasets of clinical trial outcomes to handicap the drug and device approval process