Digital Commons Network^™

The Transcriptomic Portrait Of Locally Advanced Breast Cancer And Its Prognostic Value In A Multi-Country Cohort Of Latin American Patients, Andrea Sabina Llera, Eliana Saul Furquim Werneck Abdelhay, Nora Artagaveytia, Adrián Daneri-Navarro, Bettina Müller, Carlos Velazquez, Elsa B Alcoba, Isabel Alonso, Daniela B Alves Da Quinta, Renata Binato, Alicia Inés Bravo, Natalia Camejo, Dirce Maria Carraro, Mónica Castro, Juan M Castro-Cervantes, Sandra Cataldi, Alfonso Cayota, Mauricio Cerda, Alicia Colombo, Susanne Crocamo, Alicia Del Toro-Arreola, Raúl Delgadillo-Cisterna, Lucía Delgado, Marisa Dreyer-Breitenbach, Laura Fejerman, Elmer A Fernández, Jorge Fernández, Wanda Fernández, Ramón A Franco-Topete, Carolina Gabay, Fancy Gaete, Adriana Garibay-Escobar, Jorge Gómez, Gonzalo Greif, Thomas G Gross, Marisol Guerrero, Marianne K Henderson, Miguel E Lopez-Muñoz, Alejandra Lopez-Vazquez, Silvina Maldonado, Andrés J Morán-Mendoza, Maria Aparecida Nagai, Antonio Oceguera-Villanueva, Miguel A Ortiz-Martínez, Jael Quintero, Antonio Quintero-Ramos, Rui M Reis, Javier Retamales, Ernesto Rivera-Claisse, Darío Rocha, Robinson Rodríguez, Cristina Rosales, Efrain Salas-González, Verónica Sanchotena, Laura Segovia, Juan Martín Sendoya, Aida A Silva-García, Alejandra Trinchero, Olivia Valenzuela, Vidya Vedham, Livia Zagame, United States-Latin American Cancer Research Network (Us-Lacrn);, Osvaldo L Podhajcer

Faculty, Staff and Students Publications

PURPOSES: Most molecular-based published studies on breast cancer do not adequately represent the unique and diverse genetic admixture of the Latin American population. Searching for similarities and differences in molecular pathways associated with these tumors and evaluating its impact on prognosis may help to select better therapeutic approaches.

PATIENTS AND METHODS: We collected clinical, pathological, and transcriptomic data of a multi-country Latin American cohort of 1,071 stage II-III breast cancer patients of the Molecular Profile of Breast Cancer Study (MPBCS) cohort. The 5-year prognostic ability of intrinsic (transcriptomic-based) PAM50 and immunohistochemical classifications, both at the cancer-specific (OSC) and disease-free survival …

Turning Data Into Better Mental Health: Past, Present, And Future, Nidal Moukaddam, Akane Sano, Ramiro Salas, Zakia Hammal, Ashutosh Sabharwal

Staff and Researcher Publications

In this mini-review, we discuss the fundamentals of using technology in mental health diagnosis and tracking. We highlight those principles using two clinical concepts: (1) cravings and relapse in the context of addictive disorders and (2) anhedonia in the context of depression. This manuscript is useful for both clinicians wanting to understand the scope of technology use in psychiatry and for computer scientists and engineers wishing to assess psychiatric frameworks useful for diagnosis and treatment. The increase in smartphone ownership and internet connectivity, as well as the accelerated development of wearable devices, have made the observation and analysis of human …

Decreased Brain Ventricular Volume In Psychiatric Inpatients With Serotonin Reuptake Inhibitor Treatment, P K Bolin, S N Gosnell, K Brandel-Ankrapp, N Srinivasan, A Castellanos, R Salas

Staff and Researcher Publications

Background: Brain ventricles have been reported to be enlarged in several neuropsychiatric disorders and in aging. Whether human cerebral ventricular volume can decrease over time with psychiatric treatment is not well-studied. The aim of this study was to examine whether inpatients taking serotonin reuptake inhibitors (SRI) exhibited reductions in cerebral ventricular volume.

Methods: Psychiatric inpatients, diagnosed mainly with depression, substance use, anxiety, and personality disorders, underwent two imaging sessions (Time 1 and Time 2, approximately 4 weeks apart). FreeSurfer was used to quantify volumetric features of the brain, and ANOVA was used to analyze ventricular volume differences between Time 1 …

Quantification Of Behavioral Deficits In Developing Mice With Dystonic Behaviors., Meike E Van Der Heijden, Jason S Gill, Alejandro G Rey Hipolito, Luis E Salazar Leon, Roy V Sillitoe

Duncan NRI Faculty and Staff Publications

Converging evidence from structural imaging studies in patients, the function of dystonia-causing genes, and the comorbidity of neuronal and behavioral defects all suggest that pediatric-onset dystonia is a neurodevelopmental disorder. However, to fully appreciate the contribution of altered development to dystonia, a mechanistic understanding of how networks become dysfunctional is required for early-onset dystonia. One current hurdle is that many dystonia animal models are ideally suited for studying adult phenotypes, as the neurodevelopmental features can be subtle or are complicated by broad developmental deficits. Furthermore, most assays that are used to measure dystonia are not suited for developing postnatal mice. …

Functional Studies Of Genetic Variants Associated With Human Diseases In Notch Signaling-Related Genes Using Drosophila, Sheng-An Yang, Jose L Salazar, David Li-Kroeger, Shinya Yamamoto

Duncan NRI Faculty and Staff Publications

Rare variants in the many genes related to Notch signaling cause diverse Mendelian diseases that affect myriad organ systems. In addition, genome- and exome-wide association studies have linked common and rare variants in Notch-related genes to common diseases and phenotypic traits. Moreover, somatic mutations in these genes have been observed in many types of cancer, some of which are classified as oncogenic and others as tumor suppressive. While functional characterization of some of these variants has been performed through experimental studies, the number of ‘variants of unknown significance’ identified in patients with diverse conditions keeps increasing as high-throughput sequencing technologies …

Emerging Roles Of Alternative Cleavage And Polyadenylation (Apa) In Human Disease, Prakash Dharmalingam, Rajasekaran Mahalingam, Hari Krishna Yalamanchili, Tingting Weng, Harry Karmouty-Quintana, Ashrith Guha, Rajarajan A Thandavarayan

Duncan NRI Faculty and Staff Publications

In the messenger RNA (mRNA) maturation process, the 3'-end of pre-mRNA is cleaved and a poly(A) sequence is added, this is an important determinant of mRNA stability and its cellular functions. More than 60%-70% of human genes have three or more polyadenylation (APA) sites and can be cleaved at different sites, generating mRNA transcripts of varying lengths. This phenomenon is termed as alternative cleavage and polyadenylation (APA) and it plays role in key biological processes like gene regulation, cell proliferation, senescence, and also in various human diseases. Loss of regulatory microRNA binding sites and interactions with RNA-binding proteins leading to …

Creating A Collaborative Trauma-Informed Interdisciplinary Citywide Victim Services Model Focused On Health Care For Survivors Of Human Trafficking, Juhi Jain, Mackenzie Bennett, Mark D Bailey, Daniel Liaou, Sheri-Ann O Kaltiso, Jordan Greenbaum, Kimberly Williams, Mollie R Gordon, Melissa I M Torres, Phuong T Nguyen, John H Coverdale, Victor Williams, Cayla Hari, Samantha Rodriguez, Temilola Salami, Jonell E Potter

Center for Medical Ethics and Health Policy Staff Publications

Although human trafficking is recognized as a public health issue, research on the health effects of human trafficking and best intervention practices is limited. We describe 2 citywide collaborative victim services models, the THRIVE (Trafficking, Healthcare, Resources, and Interdisciplinary Victim Services and Education) Clinic at the University of Miami and Jackson Health System in Miami, Florida, and the Greater Houston Area Pathways for Advocacy-based, Trauma-Informed Healthcare (PATH) Collaborative at Baylor College of Medicine, CommonSpirit Health, and San Jose Clinic in Houston, Texas, funded in part by the Office for Victims of Crime, which focus on trauma-informed health care delivery for …

Percept-R: An Open-Access American English Child/Clinical Speech Corpus Specialized For The Audio Classification Of/ɹ/, Nina R. Benway, Jonathan L. Preston, Elaine Hitchcock, Asif Salekin, Harshit Sharma, Tara Mcallister

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

We present the PERCEPT-R corpus, a labeled corpus of child speakers of American English with typical speech and residual speech sound disorders affecting rhotics. We demonstrate the utility of age-and-gender normalized formants extracted from PERCEPT-R in training support vector classifiers to predict ground-truth perceptual judgments of “rhotic” (i.e., dialect-typical) and clinical “derhotic”/ɹ/for novel speakers (mean of participant-specific f-metrics=.83; SD =.18, N = 281).

Calvin Theological Seminary Academic Catalog 2022-2023, Calvin Theological Seminary

Seminary Academic Catalogs

No abstract provided.

Particle Identification And Tracking In Real Time Using Machine Learning On Fpga, F. Barbosa, L. Belfore, C. Dickover, C. Fanelli, S. Furletov, Y. Furletova, L. Jokhovets, D. Lawrence, D. Romanov

Electrical & Computer Engineering Faculty Publications

This project is a multi-disciplinary endeavour between Physics, Electrical Engineering, and Computer Engineering. The purpose is to develop and implement an FPGA(*) based Machine Learning algorithm for real-time particle identification, filtering, and data reduction. This is important research that can be applied to streaming readout systems being developed now at JLab and other facilities. Real-time data processing is a frontier field in experimental physics, especially in HEP. The application of FPGAs at the trigger level is used by many current and planned experiments (CMS, LHCb, Belle2, PANDA). Usually they use conventional processing algorithms. LHCb has implemented ML elements for real-time …

Srf Cavity Fault Classification And Prediction At Jefferson Lab, Chris Tennant, Adam Carpenter, Lasitha Vidyaratne, Md. Monibor Rahman, Khan Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Over the last few years several machine learning projects at Jefferson Lab have had a common focus to optimize operation of superconducting RF (SRF) cavities in the Continuous Electron Beam Accelerator Facility (CEBAF). In this talk we highlight work to identify and classify types of faults from C100-type cavities and then to extend those capabilities to provide real-time fault prediction. Early prediction may enable mitigation strategies to prevent some types of faults. In our approach we apply a two-step fault prediction pipeline. In the first step, a model distinguishes between faulty and normal signals. In the second step, signals flagged …

A Survey Of Tele-Critical Care State And Needs In 2019 And 2020 Conducted Among The Members Of The Society Of Critical Care Medicine, Donna Lee Armaignac

All Publications

Abstract: The study’s objective was to assess facilitators and barriers of Tele-Critical Care (TCC) perceived by SCCM members. By utilizing a survey distributed to SCCM members, a cross-sectional study was developed to analyze survey results from December 2019 and July 2020. SCCM members responded to the survey (n = 15,502) with a 1.9% response rate for the first distribution and a 2.54% response rate for the second survey (n = 9985). Participants (n = 286 and n = 254) were almost equally distributed between non-users, providers, users, and potential users of TCC services. The care delivery models for TCC were …

Deeppose: Detecting Gps Spoofing Attack Via Deep Recurrent Neural Network, Peng Jiang, Hongyi Wu, Chunsheng Xin

Electrical & Computer Engineering Faculty Publications

The Global Positioning System (GPS) has become a foundation for most location-based services and navigation systems, such as autonomous vehicles, drones, ships, and wearable devices. However, it is a challenge to verify if the reported geographic locations are valid due to various GPS spoofing tools. Pervasive tools, such as Fake GPS, Lockito, and software-defined radio, enable ordinary users to hijack and report fake GPS coordinates and cheat the monitoring server without being detected. Furthermore, it is also a challenge to get accurate sensor readings on mobile devices because of the high noise level introduced by commercial motion sensors. To this …

Artificial Intelligence And Machine Learning In Optical Information Processing: Introduction To The Feature Issue, Khan Iftekharuddin, Chrysanthe Preza, Abdul Ahad S. Awwal, Michael E. Zelinski

Electrical & Computer Engineering Faculty Publications

This special feature issue covers the intersection of topical areas in artificial intelligence (AI)/machine learning (ML) and optics. The papers broadly span the current state-of-the-art advances in areas including image recognition, signal and image processing, machine inspection/vision and automotive as well as areas of traditional optical sensing, interferometry and imaging.

Spectrum Sensing With Energy Detection In Multiple Alternating Time Slots, Călin Vlădeanu, Alexandru Marţian, Dimitrie C. Popescu

Electrical & Computer Engineering Faculty Publications

Energy detection (ED) represents a low complexity approach used by secondary users (SU) to sense spectrum occupancy by primary users (PU) in cognitive radio (CR) systems. In this paper, we present a new algorithm that senses the spectrum occupancy by performing ED in K consecutive sensing time slots starting from the current slot and continuing by alternating before and after the current slot. We consider a PU traffic model specified in terms of an average duty cycle value, and derive analytical expressions for the false alarm probability (FAP) and correct detection probability (CDP) for any value of K . Our …

A Channel State Information Based Virtual Mac Spoofing Detector, Peng Jiang, Hongyi Wu, Chunsheng Xin

Electrical & Computer Engineering Faculty Publications

Physical layer security has attracted lots of attention with the expansion of wireless devices to the edge networks in recent years. Due to limited authentication mechanisms, MAC spoofing attack, also known as the identity attack, threatens wireless systems. In this paper, we study a new type of MAC spoofing attack, the virtual MAC spoofing attack, in a tight environment with strong spatial similarities, which can create multiple counterfeits entities powered by the virtualization technologies to interrupt regular services. We develop a system to effectively detect such virtual MAC spoofing attacks via the deep learning method as a countermeasure. …

Runtime Power Allocation Based On Multi-Gpu Utilization In Gamess, Masha Sosonkina, Vaibhav Sundriyal, Jorge Luis Galvez Vallejo

Electrical & Computer Engineering Faculty Publications

To improve the power consumption of parallel applications at the runtime, modern processors provide frequency scaling and power limiting capabilities. In this work, a runtime strategy is proposed to maximize performance under a given power budget by distributing the available power according to the relative GPU utilization. Time series forecasting methods were used to develop workload prediction models that provide accurate prediction of GPU utilization during application execution. Experiments were performed on a multi-GPU computing platform DGX-1 equipped with eight NVIDIA V100 GPUs used for quantum chemistry calculations in the GAMESS package. For a limited power budget, the proposed strategy …

Entropy Of Generating Series For Nonlinear Input-Output Systems And Their Interconnections, W. Steven Gray

Electrical & Computer Engineering Faculty Publications

This paper has two main objectives. The first is to introduce a notion of entropy that is well suited for the analysis of nonlinear input-output systems that have a Chen-Fliess series representation. The latter is defined in terms of its generating series over a noncommutative alphabet. The idea is to assign an entropy to a generating series as an element of a graded vector space. The second objective is to describe the entropy of generating series originating from interconnected systems of Chen-Fliess series that arise in the context of control theory. It is shown that one set of interconnections can …

A Primer On Software Defined Radios, Dimitrie C. Popescu, Rolland Vida

Electrical & Computer Engineering Faculty Publications

The commercial success of cellular phone systems during the late 1980s and early 1990 years heralded the wireless revolution that became apparent at the turn of the 21st century and has led the modern society to a highly interconnected world where ubiquitous connectivity and mobility are enabled by powerful wireless terminals. Software defined radio (SDR) technology has played a major role in accelerating the pace at which wireless capabilities have advanced, in particular over the past 15 years, and SDRs are now at the core of modern wireless communication systems. In this paper we give an overview of SDRs that …

Qu-Brats: Miccai Brats 2020 Challenge On Quantifying Uncertainty In Brain Tumor Segmentation - Analysis Of Ranking Scores And Benchmarking Results, Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard Mckinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Reynaud, Yuan-Han Mo, Elsa Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Lin-Min Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Veronica Vilaplana, Hugh Mchugh, Gonzalo Maso Talou, Alan Wang, Jay Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicholas Boutry, Alexis Huard, Lasitha Vidyaratne, Md. Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Llado, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas Tustison, Craig Meyer, Nisarg A. Shah, Sanjay Talbar, Marc-André Weber, Abhishek Mahajan, Andras Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko1, Daniel Marcus, Aikaterini Kotrotsou, Rivka Colen, John Freymann, Justin Kirby, Christos Davatzikos, Bjoern Menze, Spyridon Bakas, Yarin Gal, Tal Arbel

Electrical & Computer Engineering Faculty Publications

Deep learning (DL) models have provided the state-of-the-art performance in a wide variety of medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges. However, the task of focal pathology multi-compartment segmentation (e.g., tumor and lesion sub-regions) is particularly challenging, and potential errors hinder the translation of DL models into clinical workflows. Quantifying the reliability of DL model predictions in the form of uncertainties, could enable clinical review of the most uncertain regions, thereby building trust and paving the way towards clinical translation. Recently, a number of uncertainty estimation methods have been introduced for DL medical image segmentation tasks. …

Ground To Air Testing Of A Fused Optical-Radar Aircraft Detection And Tracking System, Chester V. Dolph, Thomas Lombaerts, Evan Kawamura, Corey Ippolito, Vahram Stepanyan, Khan M. Iftekharuddin, George Szatkowski, Robert G. Mcswain, Chris Morris, Mahyar R. Malekpour

Electrical & Computer Engineering Faculty Publications

Onboard detection and tracking capability are integral to the sensing component in collision avoidance systems needed to safely operate autonomous urban air taxis and small Unmanned Aircraft Systems. Ground-based validation of detection and tracking systems is an important milestone towards the end goal of real-time collision avoidance using onboard sensors and algorithms. In this work, we evaluate three Extended Kalman Filter (EKF) based fusion trackers with radar and vision detection inputs, and compare them with baseline trackers for each sensor type. Performance is assessed using field collected data of ground to air test flights with the sensors co-located on a …

Design And Performance Analysis Of A Chemically-Etched Flexible Nfc Tag Antenna, Muhammad Enayetur Rahman, Marwan Abdelatti, Manbir Singh Sodhi, Kunal Mankodiya

Electrical & Computer Engineering Faculty Publications

Near Field Communication (NFC) is a perfect example of ubiquitous computing that is secured, short-ranged, low-powered contactless communication. High demand is predicted for NFC, especially with wearables, and the variety of applications may require that this technology be fabricated onto different materials. In this research, we first designed flexible NFC antennas based on mathematical models. A simulation of the NFC coil inductance was performed and verified using the predictive models. Later, two flexible NFC antennas, including 160x80 mm2 (rectangular) and 80x80 mm2 (square) were fabricated through a chemical etching process and verified at 13.56 MHz frequency. Two experiments 1) Read …

Towards Advanced Data Skills For Information Systems Graduates, Ashraf Shirani

Faculty Research, Scholarly, and Creative Activity

This study aims to explore advanced data skills -in particular technical skills expected of a data engineering (DE) professional. Descriptions and requirements for the DE jobs, one each from 50 US companies, were collected from three job sites. An automated text analysis was performed on the job descriptions to extract a list of technical skills and competencies required for the DE job in the industry. The extracted information was then manually synthesized and categorized by the author. Findings of the study are intended to be of use by information systems graduates looking to pursue advanced data education and for curricula …

Can Continuing Legal Education Pass The Test? Empirical Lessons From The Medical World., Rima Sirota

Georgetown Law Faculty Publications and Other Works

Mandatory continuing legal education (CLE) takes millions of hours and hundreds of millions of dollars from American lawyers every year, with the burden landing in disproportionate fashion on new lawyers, public interest lawyers, and solo practitioners. CLE proponents insist that the system protects the public by maintaining lawyer competence. In the forty-five years since the first jurisdictions began requiring CLE, no evidence has emerged in support of this claim.

This Article argues that mandatory CLE is indefensible in its current state. Either the legal profession and the CLE industry must commit to study and change, or it is time to …

“If Rules They Can Be Called”, Amy J. Griffin

Georgetown Law Faculty Publications and Other Works

Who gets to decide what counts as law? The weight of authority in the U.S. legal system is governed almost entirely by unwritten rules—social norms that establish which sources have weight (and how much weight they have). In 2016, Bryan A. Garner and twelve judges published a treatise essentially codifying unwritten rules related to the operation of precedent. That book, The Law of Judicial Precedent, has itself become a source of authority (on legal authority), cited by judges across jurisdictions. In this essay, I question whether the judicial norms governing the operation of precedent are appropriately presented as definitive blackletter …

House Rules: Congress And The Attorney-Client Privilege, David Rapallo

Georgetown Law Faculty Publications and Other Works

In 2020, the Supreme Court rendered a landmark decision in Trump v. Mazars establishing four factors for determining the validity of congressional subpoenas for a sitting president’s personal papers. In an unanticipated move, Chief Justice John Roberts added that recipients of congressional subpoenas have “long been understood” to retain not only constitutional privileges, but common law privileges developed by judges, including the attorney-client privilege. This was particularly surprising since Trump was not relying on the attorney-client privilege and the Court had never treated this common law privilege as overriding Congress’s Article I power to set its own procedures for conducting …

Soft Law, Risk Cultures, And Law Abidingness: The Caremark Connection, Donald C. Langevoort

Georgetown Law Faculty Publications and Other Works

As Vice Chancellor, Chancellor, Chief Justice, and recidivist law review author, Leo Strine has had much to say about the often-frustrating effort at corporate behavior modification. One point he makes very insistently is that pursuant to their state-granted charters, corporations are authorized to take part only in lawful business, not any profitable business. Respect for life-giving law is thus a necessary corollary of good corporate citizenship. But good citizenship is so hard to instill, which irks him. An angry display of this is Strine’s Delaware Supreme Court dissenting opinion in City of Birmingham Retirement System v. Good, involving Duke …

Western Region Health & Wellness Programming Efforts: Qualitative Results From A Three-Part Listening Session, Cris L. Meier, Lily Ward, Anders Van Sandt, Sue Schneider, Riana Gayle

All Current Publications

The purpose of this project was to understand the programming efforts and experiences of Extension professionals in the Western Region of the United States. The Health and Wellness Working Group team held a series of listening sessions with a closed cohort of Extension professionals, hoping to learn from each other while also building the foundation for future collaborations and conversations about health and wellness programing in the western region.

The objectives were to understand: (1) the state of health and wellness work in the western region, including the gaps and challenges, (2) the programs that currently exist and ways that …

Tooth Agenesis, Thomas Labarias

Graduate Student Dissertations, Theses, Capstones, and Portfolios

In this literature review, I will discuss tooth agenesis, which is a congenital absence of one tooth or more, and the terminology associated. I will then discuss and compare the studies regarding the etiology and the prevalences of tooth agenesis throughout the world population. The second half of the paper will cover tooth agenesis from a clinical standpoint. I will describe the capital different complications and phenotypes that tooth agenesis creates. In the last section, I will explain how tooth agenesis is medically treated, and the multidisciplinary management needed to improve the patient’s quality of life.

Sickle Cell Anemia & Associated Neurological Complications: A Literature Review, Rodjmar Joseph

Graduate Student Dissertations, Theses, Capstones, and Portfolios

Sickle cell anemia, an inherited disorder, causes red blood cells to contort into a disk or sickled shape becoming hard and sticky and obstructing blood flow. As the most common hemoglobinopathy, over 100,000 Americans in the US are affected by sickle cell disease. Sickle cell anemia is an inheritance of the abnormal sickle cell gene genetically transferred from both parents. Sickle cell anemia can be easily diagnosed in DNA through a blood test or genetic screening. With a 1 in 4 chance of inheriting copies of the sickle cell gene from both parents if both biological parents are carriers, the …