Latest News Releases 15 September

Faculty at Albert Einstein College of Medicine and clinicians at the Rose F. Kennedy Children’s Evaluation and Rehabilitation Center (CERC) at the Children’s Hospital at Montefiore have received three state and federal grants to address health disparities among patients with intellectual and developmental disabilities (IDD) by promoting COVID-19 vaccination among people with IDD, their families, and caretakers in New York State.

Researchers at Oregon State University have developed a method for forecasting the locations where a distinct population of New Zealand blue whales are most likely to occur up to three weeks in advance.

SUTD researchers show how a newly discovered family of two-dimensional (2D) semiconductors are more energy-efficient thanks to the presence of a built-in atomic protection layer.

Charles Davis, Professor in the Department of Organismic and Evolutionary Biology and Curator of Vascular Plants at Harvard University Herbaria, awarded $4.7 million from the National Science Foundation’s Advancing Digitization of Biodiversity Collections Grant for his team’s collaborative project "Bringing Asia to digital life: mobilizing underrepresented Asian herbarium collections in the US to propel biodiversity discovery.”

A research team led by Prof. DAI Haiming from the Hefei Institutes of Physical Science (HFIPS) of the Chinese Academy of Sciences (CAS) recently announced the constitutive BAK/MCL1 complexes could predict chemotherapy drugs sensitivity of ovarian cancer. Result has been published on Cell death & disease.

A team of scientists from Nanyang Technological University, Singapore (NTU Singapore) has developed a predictive computer model that, when tested on real pandemic data, proposed strategies that would have reduced the rate of both COVID-19 infections and deaths by an average of 72 per cent, based on a sample from four countries.

A research team by Prof. YANG Wulin and DAI Haiming from the Hefei Institutes of Physical Science (HFIPS) of the Chinese Academy of Sciences recently proposed a genetic classifier that can predict the sensitivity of neoadjuvant chemotherapy for breast cancer in the field of tumor molecular markers.