Hector Guzman-Orozco

ORCID: 0000-0003-3430-8997
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About
Contact & Profiles
Research Areas
  • vaccines and immunoinformatics approaches
  • Influenza Virus Research Studies
  • Bacterial Infections and Vaccines
  • SARS-CoV-2 and COVID-19 Research
  • Philosophy and History of Science
  • Hepatitis B Virus Studies
  • Philosophy and Theoretical Science
  • COVID-19 Impact on Reproduction
  • Viral Infections and Outbreaks Research

La Jolla Institute for Immunology
2023-2024

California State University, San Bernardino
2021

The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome 2 (SARS-CoV-2) has seen multiple anti-SARS-CoV-2 antibodies being generated globally. It is difficult, however, to assemble a useful compendium of these biological properties if they are derived from experimental measurements performed at different sites under conditions. Coronavirus Immunotherapeutic Consortium (COVIC) circumvents issues experimentally testing blinded side for several functional...

10.1093/database/baac112 article EN cc-by Database 2023-01-01

Systems vaccinology studies have identified factors affecting individual vaccine responses, but comparing these findings is challenging due to varying study designs. To address this lack of reproducibility, we established a community resource for Bordetella pertussis booster responses and host annual contests predicting patients' vaccination outcomes. We report here on our experiences with the "dry-run" prediction contest. found that, among 20+ models adopted from literature, most successful...

10.1016/j.crmeth.2024.100731 article EN cc-by Cell Reports Methods 2024-03-01

Computational models that predict an individual's response to a vaccine offer the potential for mechanistic insights and personalized vaccination strategies. These are increasingly derived from systems vaccinology studies generate immune profiles human cohorts pre- post-vaccination. Most of these involve relatively small profile single vaccine. The ability assess performance resulting would be improved by comparing their on independent datasets, as has been done with great success in other...

10.1101/2023.08.28.555193 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-08-29
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