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Deep Learning model developed at UHN to maximize lifespan after liver transplant

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Toronto (April 12, 2021) - Researchers from University Health Network have developed and validated an innovative deep learning model to predict a patient s long-term outcome after receiving a liver transplant.
First of its kind in the field of Transplantation, this model is the result from a collaboration between the Ajmera Transplant Centre and Peter Munk Cardiac Centre. The study, published in
Lancet Digital Health, shows it can significantly improve long-term survival and quality of life for liver transplant recipients.
Historically, we have seen good advances in one-year post-transplant outcomes, but survival in the longer term hasn t significantly improved in the past decades, explains Dr. Mamatha Bhat, a hepatologist with the Ajmera Transplant Centre at UHN and co-senior author of the study. ....

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Exploring the association between student-college match and student outcomes over time

Author: Amanda M. Cook (Northwestern University)
This study will be presented today at the AERA 2021 Virtual Annual Meeting.
Session: Nuances and Challenges to Traditional Notions of College Success
Date/Time: Saturday, April 10, 10:40 a.m. - 12:10 p.m. ET
Main Findings:
Over the past 20 years, bachelor s degree completion rates for students who overmatch (i.e., attend colleges that may appear too academically selective for them) have improved substantially. Over the same time period, bachelor s degree completion rates for students who undermatch (i.e., attend colleges that appear too academically unselective for them) and match (i.e., attend colleges that appear to be good academic fits) have remained stable. ....

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Characterizing remote instruction provided by elementary school teachers during COVID-19

Study: Characterizing Remote Instruction Provided by Elementary School Teachers during School Closures due to COVID-19
Authors: Michael Hebert (University of Nebraska-Lincoln), J. Marc Goodrich (University of Nebraska-Lincoln), Jessica M. Namkung (University of Nebraska-Lincoln)
This study will be presented today at the AERA 2021 Virtual Annual Meeting.
Session: Technology Supports and Experiences During the COVID-19 Pandemic
Date/Time: Saturday, April 10, 10:40 a.m. - 11:40 a.m. ET
Main Findings:
While teachers in spring 2020 felt that 60 percent of their students were prepared for the next grade level, in fall 2020 teachers reported that only 50 percent of students had the skills needed to transition to their class when schools reopened. Additionally, 75 percent of teachers reported spending more time reviewing material from the previous grade when compared to prior years. ....

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Study snapshot: Do students in gifted programs perform better?

Participating in elementary school gifted programs is associated with reading and math achievement for the average student, though the observed relationships are small. Black and low-income students do not see the academic gains that their peers experience when receiving gifted services.
There is no evidence that participating in a gifted program is related to nonachievement outcomes such as student absences, engagement in school, or whether a student leaves or stays in a school. ....

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The infrastructure of social control

After controlling for levels of school social disorder and student misbehavior, students attending high-surveillance high schools are more likely to be subjected to in-school suspension than those at low-surveillance schools, have lower math achievement, and are less likely to attend college.

Black students are four times more likely to attend a high versus low-surveillance school. ....

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