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Medicine

D-Index
96
Citations
32312
World Ranking
9712
National Ranking
4998

Overview

Guido Germano is affiliated with Cedars-Sinai Medical Center in the United States. Their research primarily focuses on the domain of Economics, Econometrics, and Finance, with specific expertise in subfields such as Management Science and Operations Research, Finance, Electrical and Electronic Engineering, Artificial Intelligence, and Economics and Econometrics.

The scientist's main research topics include:

  • Stock Market Forecasting Methods
  • Energy Load and Power Forecasting
  • Financial Markets and Investment Strategies
  • Forecasting Techniques and Applications
  • Sentiment Analysis and Opinion Mining
  • Topic Modeling
  • Stochastic processes and financial applications

Guido Germano has contributed scholarly articles to several publication venues, predominantly in the field of finance and quantitative analysis. Frequently cited journals and conference outlets include:

  • SSRN Electronic Journal
  • Finance research letters
  • Quantitative Finance
  • Methodology And Computing In Applied Probability
  • IMA Journal of Applied Mathematics

Notable recent papers authored or co-authored by Germano include:

  • "Sentiment trading with large language models," 2024, Finance research letters
  • "Sentiment Trading with Large Language Models," 2024, SSRN Electronic Journal
  • "Pricing methods for α-quantile and perpetual early exercise options based on Spitzer identities," 2020, Quantitative Finance
  • "Generative-Discriminative Machine Learning Models for High-Frequency Financial Regime Classification," 2025, Methodology And Computing In Applied Probability
  • "Large language models in finance: estimating financial sentiment for stock prediction," 2025, SSRN Electronic Journal

Collaborations have been a significant part of Germano's research activity, notably with several frequent co-authors. These include Kemal Kirtac, Carolyn E. Phelan, Daniele Marazzina, Andreas Koukorinis, and Gareth W. Peters.

The body of work reveals a strong focus on financial markets through quantitative and computational methods, including the application of machine learning and large language models for sentiment analysis and market prediction.

Best Publications

  • Optimal Medical Therapy With or Without Percutaneous Coronary Intervention to Reduce Ischemic Burden Results From the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation (COURAGE) Trial Nuclear Substudy

    Leslee J. Shaw;Daniel S. Berman;David J. Maron;G. B. John Mancini

  • Automatic quantification of ejection fraction from gated myocardial perfusion SPECT.

    G Germano;H Kiat;P B Kavanagh;M Moriel

  • Incremental Prognostic Value of Post-Stress Left Ventricular Ejection Fraction and Volume by Gated Myocardial Perfusion Single Photon Emission Computed Tomography

    Tali Sharir;Guido Germano;Paul B. Kavanagh;Shenhan Lai

  • Incremental value of prognostic testing in patients with known or suspected ischemic heart disease: a basis for optimal utilization of exercise technetium-99m sestamibi myocardial perfusion single-photon emission computed tomography.

    Daniel S. Berman;Rory Hachamovitch;Hosen Kiat;Ishac Cohen

  • Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis.

    Manish Motwani;Damini Dey;Daniel S. Berman;Guido Germano

  • Separate acquisition rest thallium-201/stress technetium-99m sestamibi dual-isotope myocardial perfusion single-photon emission computed tomography : a clinical validation study

    Daniel S. Berman;Hosen Kiat;John D. Friedman;Fan Ping Wang

  • Impact of ischaemia and scar on the therapeutic benefit derived from myocardial revascularization vs. medical therapy among patients undergoing stress-rest myocardial perfusion scintigraphy.

    Rory Hachamovitch;Alan Rozanski;Leslee J. Shaw;Gregg W. Stone

  • Prediction of Myocardial Infarction Versus Cardiac Death by Gated Myocardial Perfusion SPECT: Risk Stratification by the Amount of Stress-Induced Ischemia and the Poststress Ejection Fraction

    Tali Sharir;Guido Germano;Xingping Kang;Howard C. Lewin

  • Determinants of risk and its temporal variation in patients with normal stress myocardial perfusion scans : What is the warranty period of a normal scan?

    Rory Hachamovitch;Sean Hayes;John D. Friedman;Ishac Cohen

  • Automatic Quantitation of Regional Myocardial Wall Motion and Thickening From Gated Technetium-99m Sestamibi Myocardial Perfusion Single-Photon Emission Computed Tomography

    Guido Germano;Jacob Erel;Jacob Erel;Howard Lewin;Howard Lewin;Paul B. Kavanagh

  • A New Algorithm for the Quantitation of Myocardial Perfusion SPECT. I: Technical Principles and Reproducibility

    G Germano;P B Kavanagh;P Waechter;J Areeda

  • Adenosine myocardial perfusion single-photon emission computed tomography in women compared with men: Impact of diabetes mellitus on incremental prognostic value and effect on patient management

    Daniel S Berman;Xingping Kang;Sean W Hayes;John D Friedman

  • Gated technetium-99m sestamibi for simultaneous assessment of stress myocardial perfusion, postexercise regional ventricular function and myocardial viability. Correlation with echocardiography and rest thallium-201 scintigraphy.

    Terrance Chua;Hosen Kiat;Guido Germano;Gerald Maurer

  • Underestimation of extent of ischemia by gated SPECT myocardial perfusion imaging in patients with left main coronary artery disease

    Daniel S Berman;Xingping Kang;Piotr J Slomka;James Gerlach

  • Prognostic validation of a 17-segment score derived from a 20-segment score for myocardial perfusion SPECT interpretation.

    Daniel S. Berman;Aiden Abidov;Xingping Kang;Sean W. Hayes

  • Identification of severe and extensive coronary artery disease by automatic measurement of transient ischemic dilation of the left ventricle in dual-isotope myocardial perfusion SPECT

    Marco Mazzanti;Guido Germano;Hosen Kiat;Paul B. Kavanagh

  • Aortic Size Assessment by Noncontrast Cardiac Computed Tomography: Normal Limits by Age, Gender, and Body Surface Area

    Arik Wolak;Heidi Gransar;Louise E.J. Thomson;John D. Friedman

  • Prognostic Significance of Dyspnea in Patients Referred for Cardiac Stress Testing

    Aiden Abidov;Alan Rozanski;Rory Hachamovitch;Sean W. Hayes

  • Transient Ischemic Dilation Ratio of the Left Ventricle Is a Significant Predictor of Future Cardiac Events in Patients With Otherwise Normal Myocardial Perfusion SPECT

    Aiden Abidov;Jeroen J Bax;Sean W Hayes;Rory Hachamovitch

  • Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study

    Julian Betancur;Frederic Commandeur;Mahsaw Motlagh;Tali Sharir

Frequent Co-Authors

Daniel S. Berman
Daniel S. Berman Cedars-Sinai Medical Center
Piotr J. Slomka
Piotr J. Slomka Cedars-Sinai Medical Center
John D. Friedman
John D. Friedman Cedars-Sinai Medical Center
Sean W. Hayes
Sean W. Hayes Cedars-Sinai Medical Center
Damini Dey
Damini Dey Cedars-Sinai Medical Center
Leslee J. Shaw
Leslee J. Shaw Icahn School of Medicine at Mount Sinai
Sharmila Dorbala
Sharmila Dorbala Brigham and Women's Hospital
Philipp A. Kaufmann
Philipp A. Kaufmann University of Zurich
Marcelo F. Di Carli
Marcelo F. Di Carli Brigham and Women's Hospital
David E. Newby
David E. Newby University of Edinburgh

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