nTIDE Sept 2020 Jobs Report: Unease rises as numbers fall for Americans with disabilities

East Hanover, NJ – October 2, 2020 – The downshift in the September job numbers sparks concerns about employment prospects for Americans with and without disabilities, according to today’s National Trends in Disability Employment – Monthly Update (nTIDE), issued by Kessler Foundation and the University of New Hampshire’s Institute on Disability (UNH-IOD). The declines in…

Chicago Center for HIV Elimination awarded $5M for community COVID-19 testing and prevention

The Chicago Center for HIV Elimination, housed at the University of Chicago, has been awarded $5 million over two years through the National Institute of Health’s (NIH) RADx Underserved Populations program. The money will support a COVID-19 testing project across eight rural and urban sites in the Central U.S. to engage two disenfranchised populations: low-income…

Scale-adaptive auto-context-guided fetal US segmentation with structured random forests

Announcing a new article publication for BIO Integration journal. In this article the authors Xin Yang, Haoming Li, Li Liu, and Dong Ni from Shenzhen University, Shenzhen, China and Chinese University of Hong Kong, Hong Kong, China consider scale-adaptive auto-context-guided fetal US segmentation with structured random forests. Accurate measurement of fetal biometrics in ultrasound at…

Yan report’s claims that SARS-CoV-2 was created in a Chinese lab are misleading, unethical

CAMBRIDGE, MA – September 30, 2020–The MIT Press Journal Rapid Reviews: COVID-19 (RRC:19) has openly published the first official scholarly peer reviews of pre-print research from Li-Meng Yan, Shu Kang, Jie Guan, and Shanchang Hu that claims to show that unusual features of the SARS-CoV-2 genome suggest sophisticated laboratory modification rather than natural evolution. Reviewers…

Sex-specific adverse drug effects identified by Columbia University algorithm

There is a paucity of real-world clinical data that evaluates adverse drug effects in women, among other underserved populations, due to a long history of trials done on relatively homogenous patient populations (healthy white males). Without heterogeneous data availability, biased results leave women in the dangerous position of not having accurate information on adverse drug…