Filling out an NCAA Tournament bracket? Research points to how and why we make our picks

Jackie Silverman, assistant professor of marketing at the University of Delaware, co-authored a study in Management Science that could offer potential insights into how and when we fill out NCAA Tournament brackets. In the study, she found people are more risk seeking (more…

New UC San Diego Model Predicts Housing Prices to Fall as much as 18% this Year

A new model of forecasting home prices based on consumer demand predicts that prices for housing will decrease by 5% nationally and 12% in San Diego County by the end of this year. The model, which highlights online search activity, was recently published in a new study from the University of California San Diego’s Rady School of Management.

JMIR Biomedical Engineering | Using Machine Learning to Reduce Treatment Burden

JMIR Publications recently published “Reducing Treatment Burden Among People With Chronic Conditions Using Machine Learning: Viewpoint” in JMIR Biomedical Engineering which reported that the COVID-19 pandemic has illuminated multiple challenges within the health care system and is unique to those living with chronic conditions.

All About Eve

New AI model called EVE, developed by scientists at Harvard Medical School and Oxford University, outperforms other AI methods in determining whether a gene variant is benign or disease-causing.
When applied to more than 36 million variants across 3,219 disease-associated proteins and genes, EVE indicated more than 256,000 human gene variants of unknown significance that should be reclassified as benign or pathogenic.

Novel Method Predicts if COVID-19 Clinical Trials Will Fail or Succeed

Researchers are the first to model COVID-19 completion versus cessation in clinical trials using machine learning algorithms and ensemble learning. They collected 4,441 COVID-19 trials from ClinicalTrials.gov to build a testbed with 693 dimensional features created to represent each clinical trial. These computational methods can predict whether a COVID-19 clinical trial will be completed or terminated, withdrawn or suspended. Stakeholders can leverage the predictions to plan resources, reduce costs, and minimize the time of the clinical study.

Big Data Analytics Enables Scientists to Model COVID-19 Spread

Researchers will use big data analytics techniques to develop computational models to predict the spread of COVID-19. They will utilize forward simulation from a given patient and the propagation of the infection into the community; and backward simulation tracing a number of verified infections to a possible patient “zero.” The project also will provide quick and automatic contact tracing and leverages the researchers’ prior experience in modeling Ebola spread.