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Henrique de Assis Lopes Ribeiro (UF Laboratory for Systems Medicine)

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Agent-Based Modeling of Aspergillus fumigatus: parametrization and predictions Fungal infections of the respiratory system are life-threatening complications for immunocompromised patients. Invasive pulmonary aspergillosis, caused by the airborne mold Aspergillus fumigatus, has a mortality rate of up to 50% in this patient population. The lack of neutrophils, a common immunodeficiency caused by, e.g., chemotherapy, disables a

Boya Yang (UF Mathematics)

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A unified mathematical model of thyroid hormone regulation and implication for personalized treatment of thyroid disorders Current clinician practice for thyroid hormone regulation of patients is based upon guesswork and experience rather than quantified analysis, which exposes patients under longer risk and discomfort. To quantitatively analyze the thyroid regulation for patients of di erent thyroid

Tharusha Bandara (UF Mathematics)

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Mathematical Model on Effects of Body Protein Level on HIV Infected Humans HIV continues to be a major global public health issue, having claimed millions of lives in the last few decades. HIV targets the immune system and weakens people's defense against many infections and some types of cancer that people with healthy immune systems

Shasha Gao (UF Mathematics)

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A two-sex model of human papillomavirus infection: Vaccination strategies and a case study Vaccination is effective in preventing human papillomavirus (HPV) infection. It remains debatable whether males should be included in a vaccination program and unclear how to allocate the vaccine in genders to achieve the maximum benefits. In this talk, we use a two-sex model

Orou Gaoue (University of Tennessee, Knoxville, Ecology & Evolutionary Biology)

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The ecological consequences of overharvesting forest resources in the tropics Conservation biology, as a mission-oriented and crisis driven discipline, has long been concerned by the causes and socio-ecological consequences of resource overexploitation. Harvesting wild plants for non-timber forest products (NTFP) serves as a valuable source of food and medicine for local communities, and potentially contributes

Samit Bhattacharyya (Shiv Nadar University, India, Mathematics)

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Antibiotic Drug Resistance. Modelling Human Behavioural Interactions and its Socioeconomic Impact Antibiotic drug resistance is a global crisis today. The deleterious impact of this crisis is acting relatively in higher degrees on poor nations compared to developed countries in the world. Low economy, higher healthcare expenses, and lack of awareness accelerate this emergence of resistance

Giulio De Leo (Stanford University, Biology and Woods Institute for the Environment)

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A novel integration of fine scale ecological data, high-resolution precision mapping, and epidemiological models to improve control of schistosomiasis dynamics Eliminating human parasitic disease often requires interrupting complex transmission pathways. Even when drugs to treat people are available, disease control can be difficult if the parasite can persist in nonhuman hosts. In my talk, I

Suzanne Lenhart (University of Tennessee, Knoxville, Mathematics)

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Optimal control for management of aquatic population models Optimal control techniques of ordinary and partial differential equations will be introduced to consider management strategies for aquatic populations. In the first example, managing invasive species in rivers can be assisted by adjustment of flow rates. Control of a flow rate in a partial differential equation model

Nakul Chitnis (Swiss Tropical and Public Health Institute)

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Mathematical modelling of the transmission dynamics of opisthrochiasis The trematode liver fluke (flat worm), Opisthorchis viverrini, is prevalent in southeast Asia, causing the chronic hepatobiliary disease, opisthorchiasis. Long term infection can lead to the bile duct cancer, cholangiocarcinoma, which is typically fatal. We develop an ordinary differential equation (ODE) model of the transmission dynamics of

Hannah Anderson (UF Mathematics)

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The effect of myeloid-derived suppressor cells on glioblastoma-immune dynamics Despite improvements in cancer therapies, the current standard of care for glioblastoma (GBM) only confers a 5.1% five-year survival rate. A major reason for this poor prognosis is the brain cancer’s highly complex and immunosuppressive tumor microenvironment, thus pointing researchers to novel immunotherapies. This talk seeks