Translational Medical Research Commons^™

Computerized Diagnostic Decision Support Systems-Isabel Pro Versus Chatgpt-4 Part Ii, Joe M Bridges, Xiaoqian Jiang, Michael Ige, Oluwatoniloba Toyobo

Faculty, Staff and Student Publications

Objective: Does a Tree-of-Thought prompt and reconsideration of Isabel Pro's differential improve ChatGPT-4's accuracy; does increasing expert panel size improve ChatGPT-4's accuracy; does ChatGPT-4 produce consistent outputs in sequential requests; what is the frequency of fabricated references?

Materials and methods: Isabel Pro, a computerized diagnostic decision support system, and ChatGPT-4, a large language model. Using 201 cases from the New England Journal of Medicine, each system produced a differential diagnosis ranked by likelihood. Statistics were Mean Reciprocal Rank, Recall at Rank, Average Rank, Number of Correct Diagnoses, and Rank Improvement. For reproducibility, the study compared the initial expert panel run …

Tobacco Smoke Exposure Is A Driver Of Altered Oxidative Stress Response And Immunity In Head And Neck Cancer, Yang Li, Pedram Yadollahi, Fonma N Essien, Vasanta Putluri, Chandra Shekar R Ambati, Karthik Reddy Kami Reddy, Abu Hena Mostafa Kamal, Nagireddy Putluri, Lama M Abdurrahman, Maria E Ruiz Echartea, Keenan J Ernste, Akshar J Trivedi, Jonathan Vazquez-Perez, William H Hudson, William K Decker, Rutulkumar Patel, Abdullah A Osman, Farrah Kheradmand, Stephen Y Lai, Jeffrey N Myers, Heath D Skinner, Cristian Coarfa, Kwangwon Lee, Antrix Jain, Anna Malovannaya, Mitchell J Frederick, Vlad C Sandulache

Faculty, Staff and Student Publications

Background: Exposomes are critical drivers of carcinogenesis. However, how they modulate tumor behavior remains unclear. Extensive clinical data show cigarette smoke to be a key exposome that promotes aggressive tumors, higher rates of metastasis, reduced response to chemoradiotherapy, and suppressed anti-tumor immunity. We sought to determine whether smoke itself can modulate aggressive tumor behavior in head and neck squamous cell carcinoma (HNSCC) through reprogramming of the cellular reductive state.

Methods: Using established human and murine HNSCC cell lines and syngeneic mouse models, we utilized conventional western blotting, steady state and flux metabolomics, RNA sequencing, quantitative proteomics and flow cytometry to …

Leveraging Large Language Models For Knowledge-Free Weak Supervision In Clinical Natural Language Processing, Enshuo Hsu, Kirk Roberts

Faculty, Staff and Student Publications

The performance of deep learning-based natural language processing systems is based on large amounts of labeled training data which, in the clinical domain, are not easily available or affordable. Weak supervision and in-context learning offer partial solutions to this issue, particularly using large language models (LLMs), but their performance still trails traditional supervised methods with moderate amounts of gold-standard data. In particular, inferencing with LLMs is computationally heavy. We propose an approach leveraging fine-tuning LLMs and weak supervision with virtually no domain knowledge that still achieves consistently dominant performance. Using a prompt-based approach, the LLM is used to generate weakly-labeled …

Detection Of Alteration In Carotid Artery Volumetry Using Standard-Of-Care Computed Tomography Surveillance Scans Following Unilateral Radiation Therapy For Early-Stage Tonsillar Squamous Cell Carcinoma Survivors: A Cross-Sectional Internally-Matched Carotid Isodose Analysis, Efstratios Koutroumpakis, Mohamed A Naser, Abdallah Sherif Radwan Mohamed, Salman A Eraj, Andrea Jarre, Jay C Shiao, Mona Kamal, Subha Perni, Jack P Phan, William H Morrison, Steven J Frank, G Brandon Gunn, Adam S Garden, Anita Deswal, Jun-Ichi Abe, David I Rosenthal, Elie Mouhayar, Clifton D Fuller

Faculty, Staff and Student Publications

Aim: This study leveraged standard-of-care CT scans of patients receiving unilateral radiotherapy (RT) for early tonsillar cancer to detect volumetric changes in the carotid arteries, and determine whether there is a dose-response relationship.

Methods: Disease-free cancer survivors (>3 months since therapy and age > 18 years) treated with intensity modulated RT for early (T1-2, N0-2b) tonsillar cancer with pre- and post-therapy contrast-enhanced CT scans available were included. Patients treated with definitive surgery, bilateral RT, or additional RT before the post-RT CT scan were excluded. Isodose lines from treatment plans were projected onto both scans, facilitating the delineation of carotid artery …

Proteomic Profile Of The Icam1 Pk56m Hfpef Risk Variant, Pedro Giro, Mallory Filipp, Michael J Zhang, Ethan D Moser, Edward B Thorp, Prarthana J Dalal, Ravi V Shah, Patrick T Ellinor, Jonathan W Cunningham, Sean J Jurgens, Arjun Sinha, Laura Rasmussen-Torvik, Jorge Kizer, Kent D Taylor, Philip Greenland, Bruce M Psaty, Russell P Tracy, Lin Yee Chen, Amil M Shah, Bing Yu, Sanjiv J Shah, Ravi B Patel

Faculty, Staff and Student Publications

A common missense variant in ICAM1 among African American individuals (rs5491; pK56M) has been associated with risk of heart failure with preserved ejection fraction (HFpEF), but the pathways that lead to HFpEF among those with this variant are not clear. In this analysis of 92 circulating proteins and their associated networks, we identified 7 circulating inflammatory proteins associated with rs5491 among >600 African American individuals. Using weighted coexpression network analysis, 3 protein networks were identified, one of which was associated with rs5491. This protein network was most highly represented by members of the tumor necrosis receptor superfamily. The rs5491 variant …

Utilizing Thalamic Deep Brain Stimulation For An Electronic Seizure Diary In A Definite Sudden Unexpected Death In Epilepsy Case, Surya Suresh, Yash Vakilna, Vladimir Vashin, Samden Lhatoo, Sandipan Pati

Faculty, Staff and Student Publications

Objective: Sudden unexpected death in epilepsy (SUDEP) is a serious threat to individuals with intractable epilepsies, contributing to premature mortality. Understanding the elusive pathophysiological mechanisms of SUDEP, especially in cases without observable terminal events, remains a crucial area for investigation. This study aimed to shed light on the burden of epileptiform activity preceding SUDEP by utilizing an automated electronic seizure diary derived from a sensing-enabled thalamic deep brain stimulator (DBS).

Methods: Herein, we present the case of a 57-year-old man afflicted with intractable multifocal epilepsy secondary to cortical dysplasia and encephalomalacia resulting from severe traumatic brain injury. Despite an initial …

Intraprocedural Versus Initial Follow-Up Minimal Ablative Margin Assessment After Colorectal Liver Metastasis Thermal Ablation: Which One Better Predicts Local Outcomes?, Yuan-Mao Lin, Iwan Paolucci, Jessica Albuquerque Marques Silva, Caleb S O'Connor, Bryan M Fellman, Aaron K Jones, Joshua D Kuban, Steven Y Huang, Zeyad A Metwalli, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Objectives: The aim of this study was to investigate the prognostic value of 3-dimensional minimal ablative margin (MAM) quantified by intraprocedural versus initial follow-up computed tomography (CT) in predicting local tumor progression (LTP) after colorectal liver metastasis (CLM) thermal ablation.

Materials and methods: This single-institution, patient-clustered, tumor-based retrospective study included patients undergoing microwave and radiofrequency ablation between 2016 and 2021. Patients without intraprocedural and initial follow-up contrast-enhanced CT, residual tumors, or with follow-up less than 1 year without LTP were excluded. Minimal ablative margin was quantified by a biomechanical deformable image registration method with segmentations of CLMs on intraprocedural preablation …

A Phase I Study Of Docetaxel Plus Synthetic Lycopene In Metastatic Prostate Cancer Patients, Michael B Lilly, Chunli Wu, Yu Ke, Wen-Pin Chen, Adam C Soloff, Kent Armeson, Noriko N Yokoyama, Xiaotian Li, Liankun Song, Ying Yuan, Christine E Mclaren, Xiaolin Zi

Faculty, Staff and Student Publications

Purpose: Our preclinical studies showed that lycopene enhanced the anti-prostate cancer efficacy of docetaxel in animal models. A phase I trial (NCT0149519) was conducted to identify an optimum dose of synthetic lycopene in combination with docetaxel (and androgen blockade [androgen deprivation therapy, ADT]), and to evaluate its effect on the safety and pharmacokinetics of docetaxel in men with metastatic prostate cancer.

Methods: Subjects were treated with 21-day cycles of 75 mg/m2 docetaxel (and ADT), plus lycopene at 30, 90 or 150 mg/day. A Bayesian model averaging continual reassessment method was used to guide dose escalation. Pharmacokinetics of docetaxel …

Enabling The Clinical Application Of Artificial Intelligence In Genomics: A Perspective Of The Amia Genomics And Translational Bioinformatics Workgroup, Nephi A Walton, Radha Nagarajan, Chen Wang, Murat Sincan, Robert R Freimuth, David B Everman, Derek C Walton, Scott P Mcgrath, Dominick J Lemas, Panayiotis V Benos, Alexander V Alekseyenko, Qianqian Song, Ece Gamsiz Uzun, Casey Overby Taylor, Alper Uzun, Thomas Nate Person, Nadav Rappoport, Zhongming Zhao, Marc S Williams

Faculty, Staff and Student Publications

OBJECTIVE: Given the importance AI in genomics and its potential impact on human health, the American Medical Informatics Association-Genomics and Translational Biomedical Informatics (GenTBI) Workgroup developed this assessment of factors that can further enable the clinical application of AI in this space.

PROCESS: A list of relevant factors was developed through GenTBI workgroup discussions in multiple in-person and online meetings, along with review of pertinent publications. This list was then summarized and reviewed to achieve consensus among the group members.

CONCLUSIONS: Substantial informatics research and development are needed to fully realize the clinical potential of such technologies. The development of …

The Enact Network Is Acting On Housing Instability And The Unhoused Using The Open Health Natural Language Processing Toolkit, Daniel R Harris, Sunyang Fu, Andrew Wen, Alexandria Corbeau, Darren Henderson, Jordan Hilsman, David Oniani, Yanshan Wang

Faculty, Staff and Student Publications

Housing is an environmental social determinant of health that is linked to mortality and clinical outcomes. We developed a lexicon of housing-related concepts and rule-based natural language processing methods for identifying these housing-related concepts within clinical text. We piloted our methods on several test cohorts: a synthetic cohort generated by ChatGPT for initial infrastructure testing, a cohort with substance use disorders (SUD), and a cohort diagnosed with problems related to housing and economic circumstances (HEC). Our methods successfully identified housing concepts in our ChatGPT notes (recall = 1.0, precision = 1.0), our SUD population (recall = 0.9798, precision = 0.9898), …

Effects Of Huoxue Qufeng Decoction Combined With Tongguan Liquefying Acupoint Penetration Therapy On Swallowing Function And Quality Of Life In Patients With Ischemic Stroke, Xuzhong Liang, Li Ma, Lixia Zhang, Dongnian Yang, Lanrui Zeng

Faculty, Staff and Student Publications

Objective: To analyze the effects of Huoxue Qufeng Decoction combined with Tongguan Liquefying Acupoint Penetration therapy on swallowing function and quality of life in patients with ischemic stroke.

Methods: A total of 145 patients with post-stroke dysphagia admitted to Dingxi People's Hospital from January 2019 to May 2022 were selected with 65 patients in the control group and 80 patients in the observation group. The control group received Huoxue Qufeng Decoction alone, while the observation group received additional Tongguan Liquefying Acupoint Penetration therapy. Clinical efficacy, NIH Stroke Scale (NIHSS) score, Water Swallow Test, Swallowing Function Assessment (SSA) score, MD Anderson …

Characterizing Treatment Non-Responders And Responders In Completed Alzheimer's Disease Clinical Trials, Dulin Wang, Yaobin Ling, Kristofer Harris, Paul E Schulz, Xiaoqian Jiang, Yejin Kim

Faculty, Staff and Student Publications

Characterizing differential responses to Alzheimer's disease (AD) drugs will provide better insights into personalized treatment strategies. Our study aims to identify heterogeneous treatment effects and pre-treatment features that moderate the treatment effect of Galantamine, Bapineuzumab, and Semagacestat from completed trial data. The causal forest method can capture heterogeneity in treatment responses. We applied causal forest modeling to estimate the treatment effect and identify efficacy moderators in each trial. We found several patient's pretreatment conditions that determined treatment efficacy. For example, in Galantamine trials, whole brain volume (1092.54 vs. 1060.67 ml, P < .001) and right hippocampal volume (2.43e-3 vs. 2.79e-3, P < .001) are significantly different between responsive and non-responsive subgroups. Overall, our implementation of causal forests in AD clinical trials reveals the heterogeneous treatment effects and different moderators for AD drug responses, highlighting promising personalized treatment based on patient-specific characteristics in AD research and drug development.

Diet-Stimulated Marrow Adiposity Fails To Worsen Early, Age-Related Bone Loss, Cody Mcgrath, Sarah E Little-Letsinger, Gabriel M Pagnotti, Buer Sen, Zhihui Xie, Gunes Uzer, Guniz B Uzer, Xiaopeng Zong, Martin A Styner, Janet Rubin, Maya Styner

Faculty, Staff and Student Publications

Introduction: Longitudinal effect of diet-induced obesity on bone is uncertain. Prior work showed both no effect and a decrement in bone density or quality when obesity begins prior to skeletal maturity. We aimed to quantify long-term effects of obesity on bone and bone marrow adipose tissue (BMAT) in adulthood.

Methods: Skeletally mature, female C57BL/6 mice (n = 70) aged 12 weeks were randomly allocated to low-fat diet (LFD; 10% kcal fat; n = 30) or high-fat diet (HFD; 60% kcal fat; n = 30), with analyses at 12, 15, 18, and 24 weeks (n = 10/group). Tibial microarchitecture was analyzed …

“Be Sustainable”: Eosc-Life Recommendations For Implementation Of Fair Principles In Life Science Data Handling, Romain David, Arina Rybina, Jean-Marie Burel, Jean-Karim Heriche, Pauline Audergon, Jan-Willem Boiten, Frederik Coppens, Sara Crockett, Katrina Exter, Sven Fahrner, Maddalena Fratelli, Carole Goble, Philipp Gormanns, Tobias Grantner, Björn Grüning, Kim Tamara Gurwitz, John M Hancock, Henriette Harmse, Petr Holub, Nick Juty, Geoffrey Karnbach, Emma Karoune, Antje Keppler, Jessica Klemeier, Carla Lancelotti, Jean-Luc Legras, Allyson L Lister, Dario Livio Longo, Rebecca Ludwig, Bénédicte Madon, Marzia Massimi, Vera Matser, Rafaele Matteoni, Michaela Th Mayrhofer, Christian Ohmann, Maria Panagiotopoulou, Helen Parkinson, Isabelle Perseil, Claudia Pfander, Roland Pieruschka, Michael Raess, Andreas Rauber, Audrey S Richard, Paolo Romano, Antonio Rosato, Alex Sánchez-Pla, Susanna-Assunta Sansone, Ugis Sarkans, Beatriz Serrano-Solano, Jing Tang, Ziaurrehman Tanoli, Jonathan Tedds, Harald Wagener, Martin Weise, Hans V Westerhoff, Rudolf Wittner, Jonathan Ewbank, Niklas Blomberg, Philip Gribbon

Faculty, Staff and Student Publications

The main goals and challenges for the life science communities in the Open Science framework are to increase reuse and sustainability of data resources, software tools, and workflows, especially in large-scale data-driven research and computational analyses. Here, we present key findings, procedures, effective measures and recommendations for generating and establishing sustainable life science resources based on the collaborative, cross-disciplinary work done within the EOSC-Life (European Open Science Cloud for Life Sciences) consortium. Bringing together 13 European life science research infrastructures, it has laid the foundation for an open, digital space to support biological and medical research. Using lessons learned from …

Reap-2: An Interactive Quantitative Tool For Robust And Efficient Dose-Response Curve Estimation, Xinying Fang, Xinyi Liu, Vernon M Chinchilli, Michael Wang, Hong-Gang Wang, Nikolay V Dokholyan, Chan Shen, J Jack Lee, Shouhao Zhou

Faculty, Staff and Student Publications

REAP-2 is an interactive dose-response curve estimation tool for Robust and Efficient Assessment of drug Potency. It provides user-friendly dose-response curve estimation for in vitro studies and conducts statistical testing for model comparisons with a redesigned user interface. We also make a major update of the underlying estimation method with penalized beta regression, which demonstrates great reliability and accuracy in dose estimation and uncertainty quantification. In this note, we describe the method and implementation of REAP-2 with a highlight on potency estimation and drug comparison.

Brief Report: Clinical Response, Toxicity, And Resistance Mechanisms To Osimertinib Plus Met Inhibitors In Patients With Egfr-Mutant Met-Amplified Nsclc, Kaiwen Wang, Robyn Du, Sinchita Roy-Chowdhuri, Ziping T Li, Lingzhi Hong, Natalie Vokes, Yasir Y Elamin, Celyne Bueno Hume, Ferdinandos Skoulidis, Carl M Gay, George Blumenschein, Frank V Fossella, Anne Tsao, Jianjun Zhang, Niki Karachaliou, Aurora O'Brate, Claudia-Nanette Gann, Jeff Lewis, Waree Rinsurongkawong, J Jack Lee, Don Lynn Gibbons, Ara A Vaporciyan, John V Heymach, Mehmet Altan, Xiuning Le

Faculty, Staff and Student Publications

INTRODUCTION:MET amplification is a known resistance mechanism to EGFR tyrosine kinase inhibitor (TKI) treatment in EGFR-mutant NSCLC. Dual EGFR-MET inhibition has been reported with success in overcoming such resistance and inducing clinical benefit. Resistance mechanisms to dual EGFR-MET inhibition require further investigation and characterization.

METHODS: Patients with NSCLC with both MET amplification and EGFR mutation who have received crizotinib, capmatinib, savolitinib, or tepotinib plus osimertinib (OSI) after progression on OSI at MD Anderson Cancer Center were included in this study. Molecular profiling was completed by means of fluorescence in situ hybridization (FISH) and next-generation sequencing (NGS). Radiological response …

Umbilical Cord Blood Transplantation: Connecting Its Origin To Its Future, Gabriela Sanchez-Petitto, Katayoun Rezvani, May Daher, Hind Rafei, Partow Kebriaei, Elizabeth J Shpall, Amanda Olson

Faculty, Staff and Student Publications

Transplantation of umbilical cord blood (UCB) is an attractive alternative source of hematopoietic stem cells (HSCs). The unique properties of cord blood and its distinct immune tolerance and engraftment kinetics compared to bone marrow (BM) and peripheral blood progenitor cells, permit a wider disparity in human leukocyte antigen levels between a cord blood donor and recipient after an unrelated umbilical cord blood transplant (UCBT). In addition, it is readily available and has a lowered risk of graft-versus-host disease (GvHD), with similar long-term clinical outcomes, compared to BM transplants. However, the relatively low number of cells administered by UCB units, as …

Narrative Review Of Single Ventricle: Where Are We After 40 Years?, Antonio F Corno, Tina O Findley, Jorge D Salazar

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Background and objective: Key medical and surgical advances have been made in the longitudinal management of patients with "functionally" single ventricle physiology, with the principles of Fontan circulation applied to other complex congenital heart defects. The purpose of this article is to review all of the innovations, starting from fetal life, that led to a change of strategy for single ventricle.

Methods: Our literature review included all full articles published in English language on the Cochrane, MedLine, and Embase with references to "single ventricle" and "univentricular hearts", including the initial history of the treatments for this congenital heart defects as …

Efficient Federated Kinship Relationship Identification, Xinyue Wang, Leonard Dervishi, Wentao Li, Xiaoqian Jiang, Erman Ayday, Jaideep Vaidya

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Kinship relationship estimation plays a significant role in today's genome studies. Since genetic data are mostly stored and protected in different silos, retrieving the desirable kinship relationships across federated data warehouses is a non-trivial problem. The ability to identify and connect related individuals is important for both research and clinical applications. In this work, we propose a new privacy-preserving kinship relationship estimation framework: Incremental Update Kinship Identification (INK). The proposed framework includes three key components that allow us to control the balance between privacy and accuracy (of kinship estimation): an incremental process coupled with the use of auxiliary information and …

Sensitive Data Detection With High-Throughput Machine Learning Models In Electrical Health Records, Kai Zhang, Xiaoqian Jiang

Faculty, Staff and Student Publications

In the era of big data, there is an increasing need for healthcare providers, communities, and researchers to share data and collaborate to improve health outcomes, generate valuable insights, and advance research. The Health Insurance Portability and Accountability Act of 1996 (HIPAA) is a federal law designed to protect sensitive health information by defining regulations for protected health information (PHI). However, it does not provide efficient tools for detecting or removing PHI before data sharing. One of the challenges in this area of research is the heterogeneous nature of PHI fields in data across different parties. This variability makes rule-based …

Large Language Models For Healthcare Data Augmentation: An Example On Patient-Trial Matching, Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu

Faculty, Staff and Student Publications

The process of matching patients with suitable clinical trials is essential for advancing medical research and providing optimal care. However, current approaches face challenges such as data standardization, ethical considerations, and a lack of interoperability between Electronic Health Records (EHRs) and clinical trial criteria. In this paper, we explore the potential of large language models (LLMs) to address these challenges by leveraging their advanced natural language generation capabilities to improve compatibility between EHRs and clinical trial descriptions. We propose an innovative privacy-aware data augmentation approach for LLM-based patient-trial matching (LLM-PTM), which balances the benefits of LLMs while ensuring the security …

N-Of-1 Trials: The Epitome Of Personalized Medicine?, Joyce P Samuel, Susan H Wootton, Jon E Tyson

Faculty, Staff and Student Publications

Observational studies are notoriously susceptible to bias, and parallel-group randomized trials are important to identify the best overall treatment for eligible patients. Yet, such trials can be expected to be a misleading indicator of the best treatment for some subgroups or individual patients. In selected circumstances, patients can be treated in n-of-1 trials to address the inherent heterogeneity of treatment response in clinical populations. Such trials help to accomplish the ultimate goal of all biomedical research, to optimize the care of individual patients.

Triple Blockade Of Ido-1, Pd-L1 And Mek As A Potential Therapeutic Strategy In Nsclc, Carminia Maria Della Corte, Vincenza Ciaramella, Kavya Ramkumar, Giovanni Vicidomini, Alfonso Fiorelli, Valerio Nardone, Salvatore Cappabianca, Immacolata Cozzolino, Federica Zito Marino, Gaetano Di Guida, Qi Wang, Robert Cardnell, Carl Michael Gay, Davide Ciardiello, Erika Martinelli, Teresa Troiani, Giulia Martini, Stefania Napolitano, Jing Wang, Lauren Averett Byers, Fortunato Ciardiello, Floriana Morgillo

Faculty, Staff and Student Publications

BACKGROUND: Despite the recent progress in the treatment and outcome of Non Small Cell Lung Cancer (NSCLC), immunotherapy has still significant limitations reporting a significant proportion of patients not benefiting from therapy, even in patients with high PD-L1 expression. We have previously demonstrated that the combined inhibition of MEK and PD-L1 in NSCLC patients derived three dimensional cultures exerted significant synergistic effect in terms of immune-dependent cancer cell death. However, subsequent experiments analyzing the expression of Indoleamine 2,3-dioxygenase-1 (Ido-1) gene expression demonstrated that Ido-1 resulted unaffected by the MEK inhibition and even increased after the combined inhibition of MEK and …

A Population-Based Meta-Analysis Of Circulating Gfap For Cognition And Dementia Risk, Mitzi M Gonzales, Crystal Wiedner, Chen-Pin Wang, Qianqian Liu, Joshua C Bis, Zhiguang Li, Jayandra J Himali, Saptaparni Ghosh, Emy A Thomas, Danielle M Parent, Tiffany F Kautz, Matthew P Pase, Hugo J Aparicio, Luc Djoussé, Kenneth J Mukamal, Bruce M Psaty, William T Longstreth, Thomas H Mosley, Vilmundur Gudnason, Djass Mbangdadji, Oscar L Lopez, Kristine Yaffe, Stephen Sidney, R Nick Bryan, Ilya M Nasrallah, Charles S Decarli, Alexa S Beiser, Lenore J Launer, Myriam Fornage, Russell P Tracy, Sudha Seshadri, Claudia L Satizabal

Faculty, Staff and Student Publications

Objective: Expression of glial fibrillary acidic protein (GFAP), a marker of reactive astrocytosis, colocalizes with neuropathology in the brain. Blood levels of GFAP have been associated with cognitive decline and dementia status. However, further examinations at a population-based level are necessary to broaden generalizability to community settings.

Methods: Circulating GFAP levels were assayed using a Simoa HD-1 analyzer in 4338 adults without prevalent dementia from four longitudinal community-based cohort studies. The associations between GFAP levels with general cognition, total brain volume, and hippocampal volume were evaluated with separate linear regression models in each cohort with adjustment for age, sex, education, …

Prognostic Serum Biomarkers In Cancer Patients With Covid-19: A Systematic Review, Te-An Lee, Shih-Han Wang, Chun-Tse Kuo, Chia-Wei Li, Louise D Mccullough, Dhimiter Bello, Yun-Ju Lai

Faculty, Staff and Student Publications

Purpose: Cancer patients with COVID-19 likely express biomarker changes in circulation. However, the biomarkers used in SARS-CoV-2 infected cancer patients for COVID-19 severity and prognosis are largely unclear. Therefore, this systematic review aims to determine what biomarkers were measured in cancer patients with COVID-19 and their prognostic utility.

Methods: A systematic literature review in PubMed, Embase, and Scopus was performed on June 16th, 2021. The search keywords coronavirus, neoplasm, biomarkers, and disease progression were used to filter out 17 eligible studies, which were then carefully evaluated.

Results: A total of 4,168 patients, 16 types of cancer, and 60 biomarkers were …

Neoadjuvant Immunotherapy Across Cancers: Meeting Report From The Immunotherapy Bridge-December 1st–2nd, 2021, Elizabeth M Burton, Rodabe N Amaria, Tina Cascone, Myriam Chalabi, Neil D Gross, Elizabeth A Mittendorf, Richard A Scolyer, Padmanee Sharma, Paolo A Ascierto

Faculty, Staff and Student Publications

After the success of immunotherapy in the treatment of advanced metastatic cancer, further evaluation in earlier settings, including high-risk, surgically-resectable disease is underway. Potential benefits of a neoadjuvant immunotherapeutic approach include presurgical tumor shrinkage, reduced surgical morbidity, early eradication of micrometastases and prevention of distant disease, and greater antigen-specific T cell response. For some cancers, pathologic response has been established as a surrogate measure for long-term outcomes, therefore offering the ability for early and objective assessment of treatment efficacy and the potential to inform and personalize adjuvant treatment clinical decision-making. Leveraging the neoadjuvant treatment setting offers the ability to deeply …

Spatial Transcriptomics Of Dorsal Root Ganglia Identifies Molecular Signatures Of Human Nociceptors, Diana Tavares-Ferreira, Stephanie Shiers, Pradipta R Ray, Andi Wangzhou, Vivekanand Jeevakumar, Ishwarya Sankaranarayanan, Anna M Cervantes, Jeffrey C Reese, Alexander Chamessian, Bryan A Copits, Patrick M Dougherty, Robert W Gereau, Michael D Burton, Gregory Dussor, Theodore J Price

Faculty, Staff and Student Publications

Nociceptors are specialized sensory neurons that detect damaging or potentially damaging stimuli and are found in the dorsal root ganglia (DRG) and trigeminal ganglia. These neurons are critical for the generation of neuronal signals that ultimately create the perception of pain. Nociceptors are also primary targets for treating acute and chronic pain. Single-cell transcriptomics on mouse nociceptors has transformed our understanding of pain mechanisms. We sought to generate equivalent information for human nociceptors with the goal of identifying transcriptomic signatures of nociceptors, identifying species differences and potential drug targets. We used spatial transcriptomics to molecularly characterize transcriptomes of single DRG …

Medical Management Of Infants With Supraventricular Tachycardia: Results From A Registry And Review Of The Literature, Nathan Wei, Avani Lamba, Sonia Franciosi, Ian H Law, Luis A Ochoa, Christopher L Johnsrude, Sit Yee Kwok, Teng Hong Tan, Santokh S Dhillon, Anne Fournier, Stephen P Seslar, Elizabeth A Stephenson, Andrew D Blaufox, Michel Cabrera Ortega, Jeffrey N Bone, Ash Sandhu, Carolina A Escudero, Shubhayan Sanatani

Faculty, Staff and Student Publications

BACKGROUND: Several medication choices are available for acute and prophylactic treatment of refractory supraventricular tachycardia (SVT) in infants. There are almost no controlled trials, and medication choices are not necessarily evidence based. Our objective was to report the effectiveness of management strategies for infant SVT.

METHODS: A registry of infants admitted to hospital with re-entrant SVT and no haemodynamically significant heart disease were prospectively followed at 11 international tertiary care centres. In addition, a systematic review of studies on infant re-entrant SVT in MEDLINE and EMBASE was conducted. Data on demographics, symptoms, acute and maintenance treatments, and outcomes were collected. …

Improving Pharmacovigilance Signal Detection From Clinical Notes With Locality Sensitive Neural Concept Embeddings, Justin Mower, Elmer Bernstam, Hua Xu, Sahiti Myneni, Devika Subramanian, Trevor Cohen

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Although pharmaceutical products undergo clinical trials to profile efficacy and safety, some adverse drug reactions (ADRs) are only discovered after release to market. Post-market drug safety surveillance - pharmacovigilance - leverages information from various sources to proactively identify such ADRs. Clinical notes are one source of observational data that could assist this process, but their inherent complexity can obfuscate possible ADR signals. In previous research, embeddings trained on observational reports have improved detection of such signals over commonly used statistical measures. Moreover, neural embedding methods which further encode juxtapositional information have shown promise on analogical retrieval tasks, suggesting proximity-based alternatives …

Temporal Cohort Logic, Guo-Qiang Zhang, Xiaojin Li, Yan Huang, Licong Cui

Faculty, Staff and Student Publications

We introduce a new logic, called Temporal Cohort Logic (TCL), for cohort specification and discovery in clinical and population health research. TCL is created to fill a conceptual gap in formalizing temporal reasoning in biomedicine, in a similar role that temporal logics play for computer science and its applications. We provide formal syntax and semantics for TCL and illustrate the various logical constructs using examples related to human health. Relationships and distinctions with existing temporal logical frameworks are discussed. Applications in electronic health record (EHR) and in neurophysiological data resource are provided. Our approach differs from existing temporal logics, in …