Author

Seyed M. Shams

Observed names: S. Shams, Seyed M Shams

Institution: University of Maryland Medical System

Observed institutions: Fondazione Edmund Mach, University of Maryland Medical System, University of Konstanz

ORCID: 0009-0000-6085-0902

Observed ORCID: 0009-0000-6085-0902

OpenAlex ID: A5050419740

Anatoxin-a producing Tychonema (Cyanobacteria) in European waterbodies

2014 · S. Shams, C. Capelli, et al. · Water Research · 102

Generative Artificial Intelligence–based Surveillance for Avian Influenza Across a Statewide Healthcare System

2025 · Katherine E Goodman, Seyed M Shams, et al. · Clinical Infectious Diseases · 12

Identification of Long-Term Care Facility Residence From Admission Notes Using Large Language Models

2025 · Katherine E. Goodman, Matthew L. Robinson, et al. · JAMA Network Open · 7

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A clinical support tool using artificial intelligence to diagnose pulmonary hypertension

2026 · Seyed M. Shams, Mary E. Maldarelli, et al. · European Respiratory Journal · 6

Combination AI-Machine Learning to Diagnose Pulmonary Hypertension: A Real-World Evidence Cohort Study

2025 · Seyed M. Shams, Mary E. Maldarelli, et al. · medRxiv · 4

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Experimental models of microcystin accumulation in Daphnia magna grazing on Planktothrix rubescens: potential for microcystin transfer through the food web

2013 · S. Shams, Leonardo Cerasino, et al. · CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach) · 1

P-282. Leveraging Machine Learning and Electronic Health Record Data to Identify Patients at Risk of HIV Care Lapses: A Statewide Analysis in Maryland

2026 · Seyed M Shams, Chaitrali-Shiri Kher, et al. · Open Forum Infectious Diseases

P-1966. Classification of Injection Drug Use by a Large Language Model Using Hospital Admission Notes

2026 · Edward C Traver, Seyed M Shams, et al. · Open Forum Infectious Diseases

Extraction of right heart catheterization data from an electronic health record by large language modeling is highly accurate with implications for pulmonary hypertension research

2025 · Seyed M Shams, Mary Maldarelli, et al. · European Respiratory Journal

Applied Machine Learning Cardiopulmonary Hemodynamic Imputation in a Large, Diverse Population Referred for Right Heart Catheterization

2025 · Seyed M Shams, Mary E Maldarelli, et al. · European Respiratory Journal

From species to strains: production of toxins in populations of cyanobacteria and implications for water management

2014 · Nico Salmaso, S. Shams, et al. · Florence Research (University of Florence)

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Toxin-producing cyanobacteria in the large lakes south of the Alps: detection of new producers and molecular identification methods

2014 · Camilla Capelli, S. Shams, et al. · Florence Research (University of Florence)

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Impact of anthropogenic pressures and long-term climate changes on the trophic state of Lake Garda (Northern Italy): a multidisciplinary assessment

2014 · N. Salmaso, M. Tolotti, et al. · CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach)

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Development of cyanobacteria and production of cyanotoxins in Lake Garda: statistical models and predictive power

2013 · Nico Salmaso, S. Shams, et al. · CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach)

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Lake Garda: nuisance cyanobacteria and impact on the aquatic ecosystems

2013 · S. Shams, Leonardo Cerasino, et al. · CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach)

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Ecological changes of Central European Lakes within the EU Project EULAKES: nuisance cyanobacteria and cyanotoxins, and their impact on aquatic ecosystems and water quality at different temporal scales

2011 · S. Shams, M. Milan, et al. · CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach)

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Diversity and seasonality of cyanotoxins in Lake Garda

2011 · S. Shams, Leonardo Cerasino, et al. · CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach)

Cyanotoxins and their impact on water quality in Central Europe lakes

2011 · S. Shams, Leonardo Cerasino, et al. · CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach)

Works count: 18

Citation count: 132

H-index: 4

I10-index: 2