Medicine and Health Sciences Commons^™

Active Deep Learning Method To Automate Unbiased Stereology Cell Counting, Saeed Alahmari

USF Tampa Graduate Theses and Dissertations

Cell quantification in histopathology images plays a significant role in understanding and diagnosing diseases such as cancer and Alzheimers. The gold-standard for quantifying cells in tissue sections is the unbiased stereology approach. Unfortunately, in unbiased stereology current practices rely on a well-trained human to manually count hundreds of cells in microscopy images. However, this human-based manual approach is time-consuming, labor-intensive, subject to human errors, recognition bias, fatigue, variable training, poor reproducibility, and inter-observer error. Thus, the lack of high-throughput technology for automating unbiased stereology analyses remains a major obstacle to further progress in a wide range of neuroscience and cancer …

Hyaluronic Acid Coated Targeted Lipid Micellar Nanoparticle As A Delivery Vehicle For Lapatinib And Ketoconazole In Egfr Mutated Lung Cancer, Nadia Tasnim Ahmed

USF Tampa Graduate Theses and Dissertations

Background: According to the American Cancer Society, lung cancer was accountable for over 142,000 deaths in the USA in 2019. Common mutations related to lung cancer mainly occur in TP53, EGFR, and KRAS genes. Lapatinib is a small molecule tyrosine kinase inhibitor which acts reversibly on both epidermal growth factor receptor (EGFR) and human epidermal growth factor receptor 2 (HER2). Overexpression of EGFR leads to increased production and signaling of proteins that cause upregulation of cellular proliferation, cholesterol synthesis and resistance to apoptosis. Ketoconazole is an imidazole antifungal agent which works principally by inhibiting the enzyme cytochrome P450 14α-demethylase (CYP51A1) …

Identification Of Patterns And Disruptions In Ambient Sensor Data From Private Homes, Yan Wang

USF Tampa Graduate Theses and Dissertations

The world’s population is rapidly aging and the increasing demand for home and health care services from this aging population brings unprecedented challenges to the economy and society. Ambient-assisted smart homes, residences equipped with ambient sensors to monitor the resident’s daily activities in a continuous and unobtrusive way, present great potential to manage the growing care service needs of this older population segment, and enable them to age-in-place.

Despite growing research, using ambient sensor data from private homes to monitor daily activities, health and wellness still faces significant challenges. To study ambient sensor data from private homes where annotated data …

Hybrid Electro-Plasmonic Stimulation Of Primary Neurons, Ratka Damnjanovic

USF Tampa Graduate Theses and Dissertations

Biomedical prosthetics utilizing electrical stimulation have limited, effective spatial resolution due to spread of electrical currents to surrounding tissue, causing nonselective stimulation. So, precise spatial resolution is not possible for traditional neural prosthetic devices, such as cochlear implants. More recently, alternative methods utilize optical stimulation, mainly infrared, sometimes paired with nanotechnology for stimulating action potentials, which has its own drawbacks, as it may heat surrounding tissue. Recently, we employed plasmonic stimulation methods utilizing gold nanoparticle-coated nanoelectrodes to convert visible light pulses into localized surface plasmon resonance transduction for stimulation of electrically excitable cells, which had limited success. Here, we report …