Research
The Renaissance of the Graph p-Laplacian in the Deep Learning Era: Unlocking Healthcare with Minimal Supervision
Semi-supervised hybrid modeling embodies the strengths of classic math modeling and deep learning, propelling breakthroughs in healthcare.
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The optimization of cortisol replacement to treat individual patients with primary adrenal insufficiency is a complex task.
A model seeks to establish a direct relationship between inches of water and kidney bean yield and determine sensitivity to irrigation strategies.
Join SIAM and the Bachelier Finance Society for a new monthly seminar series on advances in financial mathematics.
Determining the factors that contribute to the opioid epidemic is important for developing predictive models to identify at-risk individuals.
At CSE25, Jacob Roarty utilized EIT data to compare the effectiveness of image reconstruction techniques that locate anomalies in the human body.
SIALS will provide a high-quality publication platform for research that uses quantitative methods to study biological systems and applications.
Congratulations to the 2025 recipients of SIAM's major awards!
At CSE25, Paris Perdikaris introduced Aurora: a large-scale foundation model of the atmosphere that is trained on weather and climate data.
Mary Ann Leung spoke about the value of an inclusive, team-based workforce and proposed solutions for recruitment and retention during CSE25.
SIAM is excited to announce the 2025 SIAM Science Policy Fellows!
Navid Mohammad Mirzaei's CSE25 presentation extended a multistage clonal expansion model to account for tumor size at diagnosis.
At CSE25, Philip Carns overviewed the Consortium for the Advancement of Scientific Software: a federation that is dedicated to the software ecosystem.
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