Cargando…

Population Data-Driven Formulation of a COVID-19 Therapeutic

This study is designed to utilize computer modeling of the US population through NHANES to reduce the need for preclinical formulation and toxicology studies of an Ebola anti-viral (BSN389) being repurposed for COVID-19, and to thereby speed the candidate therapeutic to the clinic.

Detalles Bibliográficos
Autores principales:	Campbell, Heather R., Cecil, Regan, Lodder, Robert A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cold Spring Harbor Laboratory 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386525/ https://www.ncbi.nlm.nih.gov/pubmed/32743601 http://dx.doi.org/10.1101/2020.07.24.20161547

Ejemplares similares

Ayurvedic formulations: Potential COVID-19 therapeutics?
por: Mahaboob Ali, Anees Ahmed, et al.
Publicado: (2022)

Formulation and optimization of mathematical models /
por: Smith, Cecil L.
Publicado: (1970)

A strategy to formulate data-driven constitutive models from random multiaxial experiments
por: Tasdemir, Burcu, et al.
Publicado: (2022)

Fear of COVID-19: Data of a large longitudinal survey conducted between March 2020 and June 2021
por: Mertens, Gaëtan, et al.
Publicado: (2023)

Data-driven analytics of COVID-19 ‘infodemic’
por: Wan, Minyu, et al.
Publicado: (2022)

Data-driven modeling of COVID-19—Lessons learned
por: Kuhl, Ellen
Publicado: (2020)

Data-driven optimized control of the COVID-19 epidemics
por: Shirin, Afroza, et al.
Publicado: (2021)

Data-Driven Prediction for COVID-19 Severity in Hospitalized Patients
por: Alrajhi, Abdulrahman A., et al.
Publicado: (2022)

Forecasting COVID-19 pandemic: A data-driven analysis
por: Nabi, Khondoker Nazmoon
Publicado: (2020)

A Data-Driven Approach for Building the Profile of Water Storage Capacity of Soils
por: Zhou, Jiang, et al.
Publicado: (2023)

Data-driven prioritization and preclinical evaluation of therapeutic targets in glioblastoma
por: Brahm, Cyrillo G, et al.
Publicado: (2020)

Network analysis of COVID-19-related PTSD symptoms in China: the similarities and differences between the general population and PTSD sub-population
por: Yang, Fan, et al.
Publicado: (2021)

Data-driven modeling and forecasting of COVID-19 outbreak for public policy making
por: Hasan, A., et al.
Publicado: (2022)

Healthcare management and COVID-19: data-driven bibliometric analytics
por: Pattnaik, Monalisha
Publicado: (2022)

Advancements in the co-formulation of biologic therapeutics
por: Chauhan, Veeren M., et al.
Publicado: (2020)

Data for stable formulation of steroid hormone receptor-targeted liposomes for cancer therapeutics
por: Sharma, Priyanka, et al.
Publicado: (2016)

COVID-19: Lessons Learned and a Need for Data Driven Decision Making
por: Ogungbe, Oluwabunmi, et al.
Publicado: (2022)

The latent and item structure of COVID-19 fear: A comparison of four COVID-19 fear questionnaires using SEM and network analyses
por: Mertens, Gaëtan, et al.
Publicado: (2021)

An evaluation of COVID-19 in Italy: A data-driven modeling analysis
por: Ding, Yongmei, et al.
Publicado: (2020)

Forecasting Covid-19 Dynamics in Brazil: A Data Driven Approach
por: Pereira, Igor Gadelha, et al.
Publicado: (2020)

From predictions to prescriptions: A data-driven response to COVID-19
por: Bertsimas, Dimitris, et al.
Publicado: (2021)

COVID-19 Pandemic Outbreak in the Subcontinent: A Data Driven Analysis
por: Singh, Bikash Chandra, et al.
Publicado: (2021)

Outpatient Otolaryngology in the Era of COVID-19: A Data-Driven Analysis of Practice Patterns
por: Kasle, David A., et al.
Publicado: (2020)

Data‐driven operation of the resilient electric grid: A case of COVID‐19
por: Noorazar, H., et al.
Publicado: (2021)

Consumer-Driven Improvement of Maize Bread Formulations with Legume Fortification
por: Cunha, Luís M., et al.
Publicado: (2019)

Data-driven platform for identifying variants of interest in COVID-19 virus
por: Ramarao-Milne, Priya, et al.
Publicado: (2022)

Machine learning of COVID-19 clinical data identifies population structures with therapeutic potential
por: Greenwood, David, et al.
Publicado: (2022)

DATA-driven shock impact of COVID-19 on the market financial system
por: Li, Shaoling, et al.
Publicado: (2022)

Data-driven prediction of COVID-19 cases in Germany for decision making
por: Refisch, Lukas, et al.
Publicado: (2022)

Optimize data-driven multi-agent simulation for COVID-19 transmission
por: Jin, Chao, et al.
Publicado: (2022)

Deep-Data-Driven Neural Networks for COVID-19 Vaccine Efficacy
por: Torku, Thomas K., et al.
Publicado: (2021)

A data-driven model of the COVID-19 spread among interconnected populations: epidemiological and mobility aspects following the lockdown in Italy
por: Di Giamberardino, Paolo, et al.
Publicado: (2021)

A data-driven model to describe and forecast the dynamics of COVID-19 transmission
por: Paiva, Henrique Mohallem, et al.
Publicado: (2020)

COVID-19 outbreak: A data-driven optimization model for allocation of patients
por: Sarkar, Sobhan, et al.
Publicado: (2021)

Optimal vaccine allocation for COVID-19 in the Netherlands: A data-driven prioritization
por: Miura, Fuminari, et al.
Publicado: (2021)

A data-driven spatially-specific vaccine allocation framework for COVID-19
por: Hong, Zhaofu, et al.
Publicado: (2022)

A data-driven analysis of the aviation recovery from the COVID-19 pandemic
por: Sun, Xiaoqian, et al.
Publicado: (2023)

The COVID-19 Vaccine Race: Challenges and Opportunities in Vaccine Formulation
por: Wang, Jieliang, et al.
Publicado: (2020)

A population data-driven approach to identifying ‘Long COVID’ cases in support of diagnosis and treatment.
por: Enns, Jennifer, et al.
Publicado: (2022)

Applying a data-driven population segmentation approach in German claims data
por: Pioch, Carolina, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_huqnesnla380h6anirr0vaf3a4