A5017251979- Bioinformatics and Genomic Networks
- Nutrition and Health in Aging
- Medieval and Classical Philosophy
- Political Economy and Marxism
- Time Series Analysis and Forecasting
- Metabolomics and Mass Spectrometry Studies
- Islamic Studies and History
- Italian Fascism and Post-war Society
- Hannah Arendt's Political Philosophy
- Migration, Refugees, and Integration
- Genetics, Bioinformatics, and Biomedical Research
- Gene expression and cancer classification
- Philosophy, Ethics, and Existentialism
- Frailty in Older Adults
- Political Theology and Sovereignty
- Political Philosophy and Ethics
- Adversarial Robustness in Machine Learning
- Geographies of human-animal interactions
- Advanced Text Analysis Techniques
- Data Visualization and Analytics
- Body Composition Measurement Techniques
- Intestinal Malrotation and Obstruction Disorders
- Abdominal vascular conditions and treatments
- Critical Theory and Philosophy
- Critical Race Theory in Education
Moffitt Cancer Center
2023-2025
University of South Florida
2023
Rowan University
2022
University of Illinois Urbana-Champaign
2021
Vanderbilt University
2016-2020
Hackensack University Medical Center Mountainside
2017
Investigating multi-omics data is crucial for unraveling the complex biological mechanisms underlying cancer, thereby enabling effective strategies prevention, early detection, diagnosis, and treatment. However, predicting patient outcomes through integration of all available remains an understudied topic. We present SeNMo, a self-normalizing deep neural network trained on across 33 cancer types. SeNMo particularly efficient in handling characterized by high-width (many features) low-length...
Abstract Background: Image based body composition is the gold standard for assessing skeletal muscle area and quality in cancer patients. In patients with pancreatic ductal adenocarcinoma (PDAC), decrease can be particularly profound. Yet image-based assessment these may impeded by presence of edema at follow up caused disease burden and/or treatment. Edema superficial affect Hounsfield units surrounding tissue leading to overestimation area. Despite this, our knowledge no studies have...
Cancer cachexia is a common metabolic disorder characterized by severe muscle atrophy which associated with poor prognosis and quality of life. Monitoring skeletal area (SMA) longitudinally through computed tomography (CT) scans, an imaging modality routinely acquired in cancer care, effective way to identify track this condition. However, existing tools often lack full automation exhibit inconsistent accuracy, limiting their potential for integration into clinical workflows. To address...
The massive time-series production through the Internet of Things and digital healthcare requires novel data modeling prediction. Recurrent neural networks (RNNs) are extensively used for analyzing data. However, these models unable to assess prediction uncertainty, which is particularly critical in heterogeneous noisy environments. Bayesian inference allows reasoning about predictive uncertainty by estimating posterior distribution parameters. challenge remains propagating high-dimensional...
Deep neural networks (DNNs) have started to find their role in the modern healthcare system. DNNs are being developed for diagnosis, prognosis, treatment planning, and outcome prediction various diseases. With increasing number of applications healthcare, trustworthiness reliability becoming increasingly important. An essential aspect is detecting performance degradation failure deployed medical settings. The softmax output values produced by not a calibrated measure model confidence....
The use of armed drones in post-9/11 US military conflicts has increasingly been the subject academic writings; few, however, examine its collateral effects from a biopolitically-framed, phenomenological lens. This article examines how indeterminate field threat produced and sustained by preventive paradigm drone warfare transforms potential threats into determinate targets violence. spatial disruption experienced inhabitants "space death" generated "drone zone" thus their existential...
Multi-omics research has enhanced our understanding of cancer heterogeneity and progression. Investigating molecular data through multi-omics approaches is crucial for unraveling the complex biological mechanisms underlying cancer, thereby enabling effective diagnosis, treatment, prevention strategies. However, predicting patient outcomes integration all available an under-study direction. Here, we present SeNMo (Self-normalizing Network Multi-omics), a deep neural network trained on across...
In contemporary political discourse, the "clash of civilizations" rhetoric often undergirds philosophical analyses "democracy" both at home and abroad. This is nowhere better articulated than in Jacques Derrida's Rogues, which he describes Islam as only religious or theocratic culture that would "inspire declare any resistance to democracy" (Derrida 2005, 29). Curiously, Derrida attributes failings democracy lack reference Aristotle's Politics writings medieval Muslim philosophers. paper...
This article examines the lasting phenomenological consequences of inhabiting “spaces” exception by rethinking operation sovereign violence therein. Taking as its point departure Giorgio Agamben’s suggestion that ‘state exception’ is ‘rule’ modern politics, I argue arbitrary has taken place ‘sovereign decision’ Carl Schmitt’s original theory. However, recognizing it neither enough simply to articulate institutional grid intelligibility state nor expose logics sovereignty make possible...
Abstract Multi-omics research has enhanced our understanding of cancer heterogeneity and progression. Investigating molecular data through multi-omics approaches is crucial for unraveling the complex biological mechanisms underlying cancer, thereby enabling more effective diagnosis, treatment, prevention strategies. However, predicting patient outcomes integration all available still an under-study direction. Here, we present SeNMo (Self-normalizing Network Multi-omics), a deep neural...
Transformer architecture has widespread applications, particularly in Natural Language Processing and computer vision. Recently Transformers have been employed various aspects of time-series analysis. This tutorial provides an overview the architecture, its a collection examples from recent research papers We delve into explanation core components Transformer, including self-attention mechanism, positional encoding, multi-head, encoder/decoder. Several enhancements to initial, are...
The following conversation examines the role of university in our present moment and necessity anti-colonial praxis academy. dialogue takes as its starting point long history white, heteropatriarchal capitalist supremacy that has oriented institutional production knowledge considers permutations such practices diversity initiatives teaching hiring. discussants turn reflect on their own approaches strategies for enacting liberatory pedagogy light contingent, historical, material limitations...
What follows is a series of provocations, loosely interconnected, centered on the ambiguous relationship between liberalism and fascism in our age democratic decline. Together they seek to trouble established binaries analytic frameworks that would position as antithetical suggest instead both emerge from same condition possibility: imperial racialism. In doing so, reflect discursive function sustaining liberal democracy project white supremacy.
We present a case of abdominal pain due to Celiac artery dissection and thrombosis with MTHFR polymorphism, homocyteinemia vascular abnormalities. 42-year-old male presented abrupt onset left upper quadrant without any provocation 1 week ago. Pain was initially dull aching in quality but became worse. Patient denies nausea, vomiting, fever, chills, chest pain, palpitation. He had one bowel movement the morning admission. denied black tarry stool or bright red blood per rectum....