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Mathematical method developed to predict cancer and drug-specific immunotherapy efficacy

 E-Mail HOUSTON-(Feb. 1, 2021) - Houston Methodist researchers have developed a mathematical model to predict how specific cancers will respond to immunotherapy treatments, thus enhancing chances for successful treatments from a wide variety of cancer-immunotherapy drug combinations. The results were published last month in Nature Biomedical Engineering in collaboration with researchers at MD Anderson Cancer Center. Immunotherapy activates patients immune systems to recognize and attack their cancers, leading to higher, more targeted kill rates and fewer side effects than chemotherapy, radiation and other therapies. While this technology is a significant advance in fighting cancer, it works only with some cancer types, and only in a subset of patients with these cancers.

New model shows key role of innate immunity in controlling COVID-19 viral load

New model shows key role of innate immunity in controlling COVID-19 viral load “Innate Immunity Plays a Key Role in Controlling Viral Load in COVID-19: Mechanistic Insights from a Whole-Body Infection Dynamics Model” ACS Pharmacology & Translational Science. Since SARS-CoV-2 was identified in December 2019, researchers have worked feverishly to study the novel coronavirus. Although much knowledge has been gained, scientists still have a lot to learn about how SARS-CoV-2 interacts with the human body, and how the immune system fights it. Now, researchers reporting in ACS Pharmacology & Translational Science have developed a mathematical model of SARS-CoV-2 infection that reveals a key role for the innate immune system in controlling the viral load.

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