Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
Our major research projects advance evidence on chronic disease, environmental exposures, public health surveillance, and substance use to inform policy and improve population health.
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
PhD graduates in analytical sciences can leverage transferable skills for careers in regulation, publishing, and startups, beyond traditional academia and R&D. Women in chromatography emphasize the ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
AI therapeutics company built on causal biology, today announced the publication of research in Nature Communications validating its POSH (Pooled Optical Screening in Human cells) platform. The study ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
Carnegie Mellon University will introduce new academic programs and resources for students and researchers to blend traditional humanistic inquiry with computational methods like computer vision, ...
MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.
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