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SBU-BNL Seed Grant Program Awards $317K to Eight Teams 

Anonymous

Stony Brook University and Brookhaven National Laboratory have jointly awarded $317,000 in seed funding to eight collaborative research teams. This initiative aims to foster interdisciplinary projects that leverage the strengths of both institutions, promoting innovation in various scientific fields. The selected teams will utilize the funds to advance their research endeavors, contributing to the broader mission of scientific discovery and technological advancement

 

Machine Learning Shines In Weather-Forecasting Study

Innovate LI

A recent study highlights the transformative impact of machine learning on weather forecasting. By leveraging advanced algorithms, researchers have developed models that significantly enhance the accuracy and efficiency of weather predictions. These machine learning techniques outperform traditional numerical methods, offering faster forecasts with reduced computational demands. This advancement not only improves daily weather predictions but also holds promise for better preparedness against extreme weather events

 

Helping doctors manage COVID-19

EurekAlert!

Researchers from the University of Waterloo, in collaboration with DarwinAI and radiologists from Stony Brook School of Medicine and Montefiore Medical Center, have developed an AI tool to assess the severity of COVID-19 lung infections using chest x-rays. This deep-learning AI analyzes the extent and opacity of infections, aligning closely with expert radiologist evaluations. The technology aims to assist doctors in making informed decisions regarding patient care, such as ICU admissions or oxygen therapy, thereby enhancing clinical efficiency during the pandemic

 

Artificial Intelligence Can Help Doctors Manage COVID-19

SciTech Daily

Researchers from the University of Waterloo, in collaboration with DarwinAI and radiologists from Stony Brook School of Medicine and Montefiore Medical Center, have developed an AI tool to assess the severity of COVID-19 lung infections using chest x-rays. This deep-learning AI analyzes the extent and opacity of infections, aligning closely with expert radiologist evaluations. The technology aims to assist doctors in making informed decisions regarding patient care, such as ICU admissions or oxygen therapy, thereby enhancing clinical efficiency during the pandemic.