Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Amit Hagar"'
Publikováno v:
Physiological Reports, Vol 9, Iss 15, Pp n/a-n/a (2021)
Abstract Chronic endurance exercise is a therapeutic strategy in the treatment of non‐alcoholic fatty liver disease (NAFLD). Metabolic, cardiorespiratory, and endocrine pathways targeted by chronic endurance exercise have been identified; however,
Externí odkaz:
https://doaj.org/article/044175aa8da0420cbe61e432849b8849
Endurance training slows breast tumor growth in mice by suppressing Treg cells recruitment to tumors
Autor:
Amit Hagar, Zemin Wang, Sachiko Koyama, Josua Aponte Serrano, Luma Melo, Stephanie Vargas, Richard Carpenter, John Foley
Publikováno v:
BMC Cancer, Vol 19, Iss 1, Pp 1-10 (2019)
Abstract Background Aerobic exercise has been shown to slow tumor progression in rodents and humans, but the mechanisms behind this effect are still unclear. Here we show that aerobic exercise in the form of chronic endurance training suppresses tumo
Externí odkaz:
https://doaj.org/article/19ecd855644345e983ffa1724a45620b
Autor:
Amit Hagar
The idea of infinity plays a crucial role in our understanding of the universe, with the infinite spacetime continuum perhaps the best-known example - but is spacetime really continuous? Throughout the history of science, many have felt that the cont
Autor:
Ahmed S Abouhashem, Kanhaiya Singh, Rajneesh Srivastava, Sheng Liu, Shomita S Mathew-Steiner, Xiaoping Gu, Sedat Kacar, Amit Hagar, George E. Sandusky, Sashwati Roy, Jun Wan, Chandan K Sen
Publikováno v:
bioRxiv
Human death marks the end of organismal life under conditions such that the components of the human body continue to be alive. Such postmortem cellular survival depends on the nature (Hardy scale of slow-fast death) of human death. Slow and expected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d2a2b0865e263ae39c117d92718e838
https://doi.org/10.1101/2023.05.15.540715
https://doi.org/10.1101/2023.05.15.540715
Publikováno v:
Applied Physiology, Nutrition, and Metabolism. 46:356-367
Chronic endurance exercise is a therapeutic strategy in the treatment of many chronic diseases in humans, including the prevention and treatment of metabolic diseases such as diabetes mellitus. Metabolic, cardiorespiratory, and endocrine pathways tar
Endurance training slows breast tumor growth in mice by suppressing Treg cells recruitment to tumors
Autor:
Sachiko Koyama, Josua Aponte Serrano, Zemin Wang, Amit Hagar, Richard L. Carpenter, Stephanie Vargas, John Foley, Luma Melo
Publikováno v:
BMC Cancer, Vol 19, Iss 1, Pp 1-10 (2019)
BMC Cancer
BMC Cancer
Background Aerobic exercise has been shown to slow tumor progression in rodents and humans, but the mechanisms behind this effect are still unclear. Here we show that aerobic exercise in the form of chronic endurance training suppresses tumor recruit
Publikováno v:
Current Opinion in Virology
The COVID-19 pandemic has highlighted a need for improved frameworks for drug discovery, repurposing, clinical trial design and therapy optimization and personalization. Mechanistic computational models can play an important role in developing these
Autor:
Josua Aponte-Serrano, Amit Hagar
Publikováno v:
Mathematical and Computational Oncology ISBN: 9783030912406
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ab66bf4da9fe1c69013852c773f13ba
https://doi.org/10.1007/978-3-030-91241-3_7
https://doi.org/10.1007/978-3-030-91241-3_7
Autor:
J Aponte Serrano, Amit Hagar
Publikováno v:
E-Poster Presentations.
We introduce a novel in silico platform for simulating solid tumor growth and anti-tumor immune response. We present the model, test the sensitivity and robustness of its parameters, and calibrate it with pre-clinical and clinical data from exercise
Autor:
Josua Aponte Serrano, Amit Hagar
Publikováno v:
Cancer immunology, immunotherapy : CII. 70(7)
The purpose of this paper is to introduce a novel in silico platform for simulating early stage solid tumor growth and anti-tumor immune response. We present the model, test the sensitivity and robustness of its parameters, and calibrate it with clin