Medical Specialties Commons^™

Defining The Society Of Pediatric Liver Transplantation (Split) Research Agenda: A Delphi Consensus Project., Sharad I. Wadhwani, Pooja Reddy Spector, Amy G. Feldman, Katryn N. Furuya, Kayla Hartjes, Chaowapong Jarasvaraparn, Beau Kelly, Stacee M. Lerret, Krupa Mysore, Arti Pawaria, Philip Rosenthal, Amy Shui, Voytek Slowik, Sarah Taylor, Jennifer Vittorio, Pamela L. Valentino, Society Of Pediatric Liver Transplantation (Split)

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Despite major advances in surgical and medical management, only one-third of pediatric liver transplant (LT) recipients remain morbidity-free at 10 years. The Society of Pediatric Liver Transplantation (SPLIT) published a research agenda over 10 years ago, and much progress has been made since then. An updated consensus-driven SPLIT research agenda could guide future research and funding priorities. We aimed to identify and prioritize key research needs across the continuum of pediatric LT care using a modified Delphi consensus approach.

METHODS: We conducted a three-round modified Delphi process among SPLIT members. In round 1, participants submitted open-ended research priorities. In …

Complications Leading To Reoperation After Pediatric Tibial Spine Fracture Fixation., Benjamin R. Caruso, Suzanna M. Ohlsen, Keinan Agonias, Robert L. Van Pelt, Michelle M. Son, Michael G. Saper, Jason Rhodes, J Marc Cardelia, Jay C. Albright, Shital N. Parikh, Kevin G. Shea, Henry B. Ellis, Philip L. Wilson, Members Of The Score Quality Improvement Registry, Sheila Algan, Jennifer J. Beck, Richard E. Bowen, Jennifer M. Brey, Matthew J. Brown, Christian Clark, Allison Crepeau, Eric W. Edmonds, Matthew Ellington, Peter D. Fabricant, Jeremy Frank, Theodore J. Ganley, Daniel W. Green, Benton Heyworth, Ryan Koehler, Alfred A. Mansour, Stephanine Mayer, Scott D. Mckay, Molly C. Meadows, Matthew Milewski, Emily L. Niu, Donna M. Pacicca, Stephanie S. Pearce, Matthew R. Schmitz, Stephen Storer, Curtis Vandenberg, Yi-Meng Yen, Gregory A. Schmale

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Tibial spine fractures (TSFs) are uncommon injuries in pediatric patients, often requiring operative fixation. While complications such as arthrofibrosis and anterior cruciate ligament (ACL) insufficiency have been previously reported, the risk factors associated with unplanned reoperation remain incompletely understood.

PURPOSE: To identify the most common complications leading to reoperation and to evaluate associated risk factors, using a multicenter quality improvement registry.

STUDY DESIGN: Case-control study; Level of evidence, 3.

METHODS: A multicenter registry of operatively treated pediatric TSFs was retrospectively reviewed from July 2018 to March 2025 across 27 institutions. Grade 3 complications were defined as complications resulting in …

Glomerular Transcriptome Analysis Reveals Endothelial Disturbances In Patients With Idiopathic Nephrotic Syndrome., Sarah K. Nelson-Taylor, Jonathan Troost, Courtney Giannini, Colin Bauer, Tarak Srivastava, Jarcy Zee, Markus Bitzer, Laura Barisoni, Llse Daehn, Julie A. Dougherty, William E. Smoyer, Bryce A. Kerlin, Audrey Fetsko, Imtiazul Islam, Xin Wang, Christine Sethna, Richard J. Johnson, Carmen De Lucas Collantes, Kazunari Kaneko, Gabriel Cara-Fuentes

Manuscripts, Articles, Book Chapters and Other Papers

RATIONALE & OBJECTIVE: Idiopathic nephrotic syndrome (INS) is viewed as a podocyte-specific disease. Recent reports indicate endothelial involvement, but its significance is unclear. Here, we investigated the relationship between the glomerular expression of selected genes relevant to endothelial health and clinical markers of disease severity.

STUDY DESIGN: A cross-sectional study.

SETTING & PARTICIPANTS: Patients with INS (n = 70 minimal change disease and n = 83 focal segmental glomerulosclerosis) from the Nephrotic Syndrome Study Network cohort study and 53 control participants. Validation studies, including animal and cell culture experiments, were performed.

EXPOSURE: Gene expression analysis from micro-dissected human glomeruli. The …

Leappt: Leveraging Generative Artificial Intelligence-Pediatric Pulmonology Training. Curriculum And Content Development., Alvin Singh, Erin Khan, Mary Moffatt

Manuscripts, Articles, Book Chapters and Other Papers

After redesigning the curriculum of the pediatric pulmonology fellowship program at Children's Mercy-Kansas City, leadership continued to make changes based on feedback from a faculty survey concerned about the quality and structure of didactics. These changes included leveraging generative artificial intelligence to create a detailed course content outline containing specific objectives and study points for each subject related to pediatric pulmonology. Using the content outline as a foundational reference for learners, fellowship leadership continues to enhance the curriculum by creating testing questions, flipped classroom sessions and evaluations, and hope that these specific changes will help address decreased passing rates on …

Effect Of Dental Treatments On Reduction Of Preterm Birth: A Systematic Review And Meta-Analysis, Camille Thomas, Shakil Ahmed, Vincenzo Berghella, Romina Brignardello-Petersen, Mohamed El-Rabbany, Catherine Devion, Stefania Ronzoni

Department of Obstetrics and Gynecology Faculty Papers

OBJECTIVE: Periodontal disease is associated with increased risk of preterm birth. Effective management during pregnancy may reduce preterm birth, though clinical trial evidence has been inconsistent. This study aimed to assess whether treating dental disease during pregnancy reduces preterm birth.

DATA SOURCES: A systematic search was performed of EMBASE, MEDLINE, PubMed, Cochrane Library, and trial registries up to December 2023 and re-run in January 2025.

STUDY ELIGIBILITY CRITERIA: Randomized controlled trials (RCTs) enrolling pregnant persons with any dental disease randomized to receive dental treatment vs no treatment were included. No language restriction was applied.

STUDY APPRAISAL AND SYNTHESIS METHODS: Data …

Undergraduate Health And Wellbeing Course And Study Away Program To Alaska, Lorraine S. Wallace, Steven J. Mousetes, Jennifer Bickley

Journal of Global Education and Research

High-impact practices, such as diversity/global education, have been shown to positively contribute to student development, engagement, and success. As the US is both culturally and linguistically diverse, domestic study away programs can offer students impactful multicultural educational experiences without leaving the country. The purpose of this study was to describe the design of a health and well-being academic course and accompanying study away program to Alaska for undergraduates at The Ohio State University (OSU). The authors (1) describe the application of the backward design process in guiding ELOs development, (2) provide a sample of course assignments and student responses, and …

Application Of A Natural Language Processing Algorithm To Early Asthma Ascertainment For Adults In The Era Of Electronic Health Records, Chung-Il Wi, Thanai Pongdee, Hee Yun Seol, Sunghwan Sohn, Elham Sagheb, Bhavani Singh Agnikula Kshatriya, Shauna M Overgaard, Deepak K Sharma, Sungrim Moon, Elizabeth A Krusemark, Dave Watson, Sergio E Chiarella, Miguel A Park, Jason D Greenwood, Randy M Foss, Zhandong Liu, Meera Gupta, Carla M Davis, Wade Schulz, Hongfang Liu, Young J Juhn

Faculty, Staff and Students Publications

Background: The natural language processing (NLP) algorithm for predetermined asthma criteria (NLP-PAC) was successfully developed and validated for automatically ascertaining pediatric asthma from electronic health record (EHRs) systems. A scalable, efficient, and automated tool for ascertaining adult asthma status from EHRs remains nonexistent.

Objective: We validated NLP-PAC enabling ascertainment and early identification of adult asthma status in their EHRs.

Methods: We applied the validated NLP-PAC to EHRs of a convenient sample (adult cohorts who participated in our previous population-based studies) in which a reference standard (ie, asthma status defined by manual chart review) is available. The performance of NLP-PAC was …

The Filamentous Ultrastructure Of The Popz Condensate Is Required For Its Cellular Function, Daniel Scholl, Tumara Boyd, Andrew P Latham, Alexandra Salazar, Asma M A M Khan, Steven Boeynaems, Alex S Holehouse, Gabriel C Lander, Andrej Sali, Donghyun Park, Ashok A Deniz, Keren Lasker

Duncan NRI Faculty and Staff Publications

Biomolecular condensates have key roles in regulating cellular processes. Yet, the relationship between atomic features and condensate function remains poorly understood. We studied this relationship using the polar organizing protein Z (PopZ). Here, we revealed hierarchical assembly of PopZ into a filamentous condensate by integrating cryo-electron tomography, biochemistry, single-molecule techniques and molecular dynamics simulations. The PopZ helical domain drives filamentation and condensation, while the disordered region inhibits them. Phase-dependent conformational changes prevent interfilament contacts in the dilute phase and expose client-binding sites in the dense phase. Perturbing filament formation in vitro alters the dynamics of scaffold and client proteins and …

Non-Synaptic Function And Localization Of Syntaxin-Binding Protein 1 In A Mouse Model Of Stxbp1-Related Epileptic Encephalopathy, Tao Yang, Rajat Banerjee, Yamei Deng, Sheetal Jahagirdar, Joo Hyun Kim, Wu Chen, Mingshan Xue, Alexey I Nesvizhskii, Michael D Uhler, Jack M Parent, Yu Wang

Duncan NRI Faculty and Staff Publications

Objective: De novo mutations in the syntaxin-binding protein 1 (STXBP1), encoded by STXBP1, are among the most prevalent causes of variable neurodevelopmental disorders, including epileptic encephalopathy, developmental delay, and movement disorders. Although STXBP1 has been proposed as a critical presynaptic protein controlling synaptic vesicle exocytosis, clinical phenotypes also suggest that its biological function could be more diverse.

Methods: The expression pattern of STXBP1 was studied using immunostaining in vitro and in vivo. Synaptosome isolation was performed to investigate the synaptic and non-synaptic localization of STXBP1 in the brain. STXBP1 immunoprecipitation followed by mass spectrometry (MS) was conducted to identify protein …

Orthopedic Bone Drill, Logan G. Schmid, Matthew T. Wold, May Geng

Biomedical Engineering

This project aims to design a bone drill for orthopedic procedures which alleviates the heat generated in the bone during drilling.

Fgl2-Knockout Tumor Cells Serve As A Vaccine Inducing Long-Duration Brain-Resident Memory T Cells That Reject Subsequent Intracranial Tumor Cell Challenges, Sheng Zhang, Yining Jin, Zhiliang Jia, Xueqing Xia, Yang Li, Qi Wang, Jing Wang, Jian Wang, Joya Chandra, Gregory K Friedman, Shulin Li

Faculty, Staff and Student Publications

The failure to prevent brain tumors, including both recurrent primary and metastatic brain tumors, is the primary cause of patients' mortality. We developed a novel whole tumor-cell vaccine to rapidly induce long-duration brain-resident memory T (TRM) cells that prevent brain tumor progression. Ten Fgl2-KO primary and metastatic tumor cell lines, generated via CRISPR/Cas9, were used to vaccinate mice and for intracranial challenges with the WT tumor cells. Not only did vaccinated mice reject these tumor cell challenges, but also more than half of these mice became long-duration survivors. Transplanting brain immune cells from vaccinated mice into naïve mice enabled this …

Alpha 7 Nicotinic Acetylcholine Receptor Contributes To Long-Term Cognitive Recovery Following Ischemic Stroke, Dustin T Nguyen, Kate Mendoza, Cassandra Hall, Chunfeng Tan, Anjali Chauhan

Faculty, Staff and Student Publications

Stroke is associated with autonomic dysfunction and reduced acetylcholine (ACh), a neurotransmitter critical for cognition. ACh signals in part through the alpha-7 nicotinic acetylcholine receptor (α7nAChR), a ligand-gated ion channel involved in synaptic plasticity, learning, and memory. Impaired α7nAChR signaling has been linked to heightened neuroinflammation and poor acute stroke recovery. Here, we investigated whether α7nAChR contributes to post-stroke cognitive recovery in young male mice. Wild-type (WT) and α7nAChR knockout (α7n0KO) mice underwent 60-min middle cerebral artery occlusion (MCAO). In a pharmacology cohort, the α7nAChR agonist GTS-21 was administered immediately after reperfusion and then daily for 20 days. Cognitive performance …

Analysis Of Patients With Monocytic And Monocytic-Like Acute Myeloid Leukemia, Including Aml-M4 And Aml-M5, Treated With Venetoclax Plus Azacitidine, Marina Konopleva, Courtney D Dinardo, Yan Sun, Paul Jung, Sanam Loghavi, Jalaja Potluri, Monique Dail, Brenda Chyla, Daniel A Pollyea

Faculty, Staff and Student Publications

No abstract provided.

Impact Of Mutational Landscape And Burden On Rbc Transfusion Response In Patients With Lower-Risk Myelodysplastic Syndromes (Lr-Mds) In The Commands Study, Rami S Komrokji, Sheida Hayati, Manuel Ugidos, Guillermo Garcia-Manero, Matteo Giovanni Della Porta, Amer M Zeidan, Valeria Santini, Uwe Platzbecker, Anita K Gandhi, Rajasekhar N V S Suragani

Faculty, Staff and Student Publications

The COMMANDS trial established luspatercept as a first‐line treatment for anemia in transfusion‐dependent lower‐risk (LR) myelodysplastic syndromes (MDS). Here we report red blood cell (RBC) transfusion response analysis based on somatic mutations profile and disease risk for patients treated with luspatercept or epoetin alfa in the COMMANDS trial. Of 350 evaluable patients, 238 (68.0%) had MDS with multiple lineage dysplasia and ring sideroblasts (RS) according to World Health Organization 2016 criteria, and 320 (91.4%) had somatic mutations in ≥ 1 gene (median, 2) with median variant allele frequencies (VAF) of 2%–59%. Mutation profiles were similar in the treatment groups. Luspatercept …

Defining A Quantitative Threshold For Adaptive Re-Planning Using A Percentile-Based Scoring System, Alexandra O Leone, Christine B Peterson, Anna Lee, Adam S Garden, G Brandon Gunn, Lauren L Mayo, Amy C Moreno, Steven J Frank, C David Fuller, Jay P Reddy, Karen Hoffman, Ivan Vazquez, Ming Yang, Joshua S Niedzielski, Laurence E Court, Thomas J Whitaker

Faculty, Staff and Student Publications

Background: Despite the frequent need for adaptive planning in head and neck proton therapy, no quantitative indicators have been identified to determine when a plan should be adapted. Here, we aimed to determine a quantitative threshold for the change in plan quality between the primary treatment plan and verification plans that correlates with the physician's decision to adapt.

Methods: Primary treatment and verification plans were extracted from the clinical treatment planning system for 167 patients who underwent intensity-modulated proton therapy for base of tongue, tonsillar, or oropharyngeal cancers, with and without nodal involvement, between 2016 and 2021. All plans were …

Optimizing Feasibility And Acceptability Of An Online Expressive Writing Intervention For Survivors Of Adolescent And Young Adult Cancer: A Pilot Randomized Trial Of Iterative Modifications And Outcomes, Eunju Choi, Yusi Aveva Xu, Celia Cy Wong-Meli, Michael E Roth, Yisheng Li, Qian Lu

Faculty, Staff and Student Publications

Objective: To evaluate the feasibility of an online expressive writing (EW) intervention for survivors of adolescent and young adult (AYA) cancer and determine whether iterative, theory-driven modifications can enhance response, adherence, and completion rates.

Methods: In this randomized pilot trial, survivors of AYA cancer were recruited through a hospital-based AYA oncology clinic and an online community. Forty participants were randomly assigned to the EW intervention or control group. To improve on lower-than-expected adherence and completion rates in a previous cohort, the protocol was iteratively revised using the Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies (FRAME-IS). Modifications included …

Clemastine Ameliorates Cognitive Deficits In An Experimental Rat Model Of Chronic Cerebral Hypoperfusion, Xuemei Zong, Zhihai Huang, Fanfei Kong, Yu Feng, Yulan Zhang, Peibin Zou, Hung Wen Lin, David C Hess, Quanguang Zhang

Faculty, Staff and Student Publications

Chronic cerebral hypoperfusion (CCH) profoundly affects patient well-being and has been proposed as a risk factor for cognitive impairment and dementia. However, due to the limited understanding of the pathophysiology of CCH, there are currently no effective preventive or therapeutic approaches for CCH-associated cognitive impairment. Therefore, identifying new targets for CCH is essential to bridge this knowledge gap. In this study, we sought to determine whether enhanced myelination could prevent cognitive impairment associated with CCH. Experimental CCH was induced via bilateral common carotid artery occlusion (BCCAO) in rats, and clemastine, a well-established pro-myelinating agent, was administered to boost myelin renewal. …

Intraoperative Ultrasound Imaging Features Guiding Surgical Strategy In Spinal Cord Ependymoma Resection, Esteban Ramirez-Ferrer, Ian E Mccutcheon, Gil Kimchi, Behrang Amini, Romulo Andrade Almeida, Francisco Call-Orellana, Juan Pablo Zuluaga-Garcia, Robert Y North, Christopher A Alvarez-Breckenridge, Jeffrey S Weinberg, Laurence D Rhines, Claudio E Tatsui

Faculty, Staff and Student Publications

Background and objectives: Preoperative imaging provides surgeons with an initial estimate of tumor infiltration and the likelihood of achieving an en-bloc resection in spinal cord ependymomas, yet the definitive decision is made intraoperatively. This study characterizes the intraoperative ultrasound (iUS) features that guide real-time surgical strategy and are associated with successful en-bloc removal.

Methods: A retrospective review of iUS images obtained during resection of spinal cord ependymomas was performed. The presence of a peritumoral halo representing the transition zone between the tumor and the spinal cord, the dorsal sagittal area of the spinal cord overlying the tumoral poles, the presence …

Pharmacokinetic Modeling Strategies For Dynamic Hyperpolarized Urea Imaging, Keith A Michel, Collin J Harlan, Christopher M Walker, Matthew E Merritt, Yunyun Chen, Stephen Y Lai, James A Bankson

Faculty, Staff and Student Publications

Purpose: To evaluate pharmacokinetic modeling methods for quantification of tissue perfusion/permeability with hyperpolarized 13C urea.

Methods: Three models for quantitative analysis of dynamic HP urea imaging data were proposed and evaluated in numerical simulations and a thyroid cancer mouse model. A multicompartment model resembling the extended Tofts model for DCE-MRI (Model I) and two simplified models were used. The simplified models each eliminate a volume parameter representing vascular (Model II) or impermeable cellular space (Model III). Signal curves were generated from Model I, and models were fit to these synthetic data to quantify the effects of acquisition settings, bias in …

A Comprehensive Biomechanical Material Characterization Of The Human Breast Fibro-Structural Support System, Aroj Bhattarai, Gregory P Reece, Kristy K Brock, Krishnaswamy Ravi-Chandar

Faculty, Staff and Student Publications

Breast surgery for aesthetic purposes, such as breast augmentation or breast reduction, and breast reconstruction after cancer treatment require an accurate structural (anatomical) and mechanical (functional) understanding of the breast components, including the fascial-ligamentous support system of the breast, to achieve optimal results. This paper aims to provide a comprehensive description of the mechanical behavior of the ligamentous and fascial connective tissues of the human female breast. Fasciae and ligaments obtained from 17 patients between 35 and 85 years of age who were undergoing mastectomy and three female cadavers were tested. Uniaxial tensile tests were conducted, and three constitutive models …

Impact Of Intra- And Interfractional Motion On The Dose Distribution And Urinary Adverse Events For Magnetic Resonance-Guided Prostate Cancer Radiotherapy, Shu Xing, Sarah Burleson, Xiao Tan, Qijie Huang, Nima Hassan-Razein, Chengcheng Gui, Ergys Subashi, Himanshu Nagar, Victoria Brennan, Neelam Tyagi

Faculty, Staff and Student Publications

Purpose: To evaluate the impact of intra- and interfractional motion on dose distribution and clinical outcome in prostate magnetic resonance (MR)-guided adaptive radiotherapy.

Methods: Seventy-six patients were treated with five-fraction stereotactic radiotherapy on a 1.5 T MR linear accelerator. Cine MR images were acquired during treatment and exported to a motion monitoring research package, to generate motion traces in the anterior-posterior (AP), superior-inferior (SI) and left-right (LR) directions. Planned dose distributions were shifted according to motion trace to reconstruct intrafraction motion-blurred dose. Intrafraction motion-blurred doses were deformably registered to fraction one motion-blurred dose to obtain interfraction accumulated dose. The impact …

Frontotemporal Network Interactions Causally Support Rapid Concreteness Judgments During Reading, Elliot Murphy, Oscar Woolnough, Cale W Morse, Xavier Scherschligt, Nitin Tandon

Faculty, Staff and Student Publications

Neurobiological models of conceptual processing have been limited in spatiotemporal resolution, and uncertainty remains about the causal role of specific regions in concept representation. We utilized intracranial recordings in human neurosurgical patients with epilepsy (n = 19) during a concreteness judgement paradigm of single word reading. Concrete concepts showed greater high-frequency activation across a frontal and ventrotemporal network, while greater activation for abstract words was found in lateral posterior middle temporal cortex. Intercortical communications, measured by high-frequency partial direct coherence, revealed bidirectional frontal and ventral plus lateral temporal interactions. Words occupying the middle range of the concreteness scale (e.g., "profit") …

Trends And Challenges: A 15-Year Review Of Imaging And Radiation Oncology Core Anthropomorphic Phantom Audits For Proton Therapy, Lian Duan, Hunter S Mehrens, Stephen F Kry, Jessica R L Lowenstein, Nadia Hernandez, Lucas B Acuna Scafati, Paige A Taylor

Faculty, Staff and Student Publications

Purpose: This study aims to analyze the trends in institutional performance on Imaging and Radiation Oncology Core (IROC) proton phantoms and to investigate the impact of treatment parameters on proton therapy delivery accuracy.

Materials and methods: We analyzed 402 IROC anthropomorphic phantom audits performed by 57 institutions worldwide between 2009 and 2024, including brain, head and neck (H&N), spine, prostate, lung, and liver phantoms. Dosimetric assessments included thermoluminescent dosimeters (TLDs) for dose comparison and gamma analysis of radiochromic film. The lung and liver phantoms were irradiated with simulated motion. Univariate analysis was performed to evaluate the relationships between treatment parameters …

Quantifying Rate-Limiting Genetic Variation In Breast And Ovarian Tumourigenesis, Kathleen E Houlahan, Mahad Bihie, Yves Greatti, Julián Grandvallet Contreras, Daniel J Fulop, Gonzalo Lopez, Marc Williams, Hsin-Hsiung Huang, Peter Van Loo, Paul C Boutros, Kuan-Lin Huang

Faculty, Staff and Student Publications

Background: The number and type of genetic alterations required to initiate breast and ovarian cancer remain unclear. While germline BRCA1/2 carriers show markedly elevated cancer risk, it is uncertain whether point mutations or copy number alterations constitute the rate-limiting events of tumourigenesis.

Methods: We developed a statistical framework extending prior incidence-mutation models to estimate the minimal number and type of driver events required for cancer initiation. Somatic mutation and copy-number data from >3000 breast and ovarian cancers in TCGA and METABRIC were compared between germline BRCA1/2 carriers and non-carriers matched on subtypes. Results were validated through analyses of evolutionary timing …

Clinicopathologic And Molecular Characteristics Of High-Grade Appendiceal Mucinous Neoplasms, Ashlee N Seldomridge, Michael G White, Christopher Scally, Richard E Royal, Mark Routbort, Jbryan Iorgulescu, Michael J Overman, Sun Mi Lee, Wai Chin Foo, Melissa W Taggart, Yun Song, Paul F Mansfield, Keith F Fournier, John Paul Shen, Beth A Helmink

Faculty, Staff and Student Publications

Background: Although 2016 consensus guidelines defined high-grade appendiceal mucinous neoplasms (HAMNs) as a distinct histologic entity, their clinical course and optimal management remain poorly characterized. Comparative data with low-grade appendiceal mucinous neoplasms (LAMNs) are limited. This study aims to detail the clinical management and outcomes of patients with HAMN and those with LAMN.

Methods: This retrospective cohort study was conducted at a large academic cancer center. An internal database was queried to identify patients with LAMN or HAMN who underwent appendectomy between 2016 and 2024. Kaplan-Meier survival analyses were used to assess the impact of primary tumor type and peritoneal …

Classification Of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, And Thickness With A Deep And A Shallow Learning Model, Roberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, Christopher R K Ching, Andre Aleman, Alyssa R Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Katharina Brosch, Robin Bülow, Romain Colle, Colm G Connolly, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher G Davey, Annemiek Dols, Jan Ernsting, Jennifer W Evans, Lukas Fisch, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H Gotlib, Hans J Grabe, Nynke A Groenewold, Dominik Grotegerd, Tim Hahn, J Paul Hamilton, Laura K M Han, Ben J Harrison, Tiffany C Ho, Neda Jahanshad, Alec J Jamieson, Andriana Karuk, Tilo Kircher, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas Lancaster, Ramona Leenings, Meng Li, David E J Linden, Frank P Macmaster, David M A Mehler, Susanne Meinert, Elisa Melloni, Bryon A Mueller, Benson Mwangi, Igor Nenadić, Amar Ojha, Yasumasa Okamoto, Mardien L Oudega, Brenda W J H Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J Portella, Joaquim Radua, Elena Rodríguez-Cano, Matthew D Sacchet, Raymond Salvador, Anouk Schrantee, Kang Sim, Jair C Soares, Aleix Solanes, Dan J Stein, Frederike Stein, Aleks Stolicyn, Sophia I Thomopoulos, Yara J Toenders, Aslihan Uyar-Demir, Eduard Vieta, Yolanda Vives-Gilabert, Henry Völzke, Martin Walter, Heather C Whalley, Sarah Whittle, Nils Winter, Katharina Wittfeld, Margaret J Wright, Mon-Ju Wu, Tony T Yang, Carlos Zarate, Dick J Veltman, Lianne Schmaal, Paul M Thompson, Enigma Major Depressive Disorder Working Group

Faculty, Staff and Student Publications

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due to the heterogeneity of this disorder. The application of deep learning tools to neuroimaging data, capable of capturing complex non-linear patterns, has the potential to provide diagnostic and predictive biomarkers for MDD. However, previous attempts to demarcate MDD patients and healthy controls (HC) based on segmented cortical features via linear machine learning approaches have reported low accuracies. In this study, we used …

An Adp Getaway Service, Not An Atp Tank: Insights Into The Phosphagen System In Neurons, Madeline P Marques, Kartik Venkatachalam

Faculty, Staff and Student Publications

No abstract provided.

Segmental Tracheal Resection For Thyroid Cancer: Perioperative Morbidity, Locoregional Control, And Survival, Anastasios Maniakas, David C Wilde, Isabelle Fournier, Emily K Hyde, Li Xu, Jennifer R Wang, Neil D Gross, Erich M Sturgis, Victoria Banuchi, Naifa L Busaidy, Maria E Cabanillas, Priyanka Iyer, Ramona Dadu, Steven G Waguespack, Mimi I Hu, G Brandon Gunn, Michael Kwon, Salmaan Ahmed, Michelle D Williams, Mark E Zafereo

Faculty, Staff and Student Publications

Background: Segmental tracheal resection is rarely needed for advanced thyroid cancer but is among the most complex, high-risk thyroid surgeries.

Methods: Retrospective study of patients undergoing segmental tracheal resection for thyroid cancer at MD Anderson Cancer Center (2005-2024).

Results: We identified 120 patients with a median follow-up of 4.6 years (range 0.02-16.38). Papillary thyroid cancer was most common (68%). The median number of tracheal rings resected was 4 (range 1-9). Seventeen (14%) patients had a new tracheostomy placed at the time of surgery, with 11 (9%) remaining trach-dependent at last follow-up. Twenty-six (22%) patients had a return to the operating …

Large Language Models For Bioinformatics, Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu

Faculty, Staff and Student Publications

With the rapid advancements in large language model technology and the emergence of bioinformatics-specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications. This survey aims to address this need by providing a thorough review of BioLMs, focusing on their evolution, classification, and distinguishing features, alongside a detailed examination of training methodologies, datasets, and evaluation frameworks. We explore the wide-ranging applications of BioLMs in critical areas such as disease diagnosis, drug discovery, and vaccine development, highlighting their impact and transformative potential in bioinformatics. We identify key challenges and …

Tuscan: Tumor Segmentation And Classification Analysis In Spatial Transcriptomics, Chenxuan Zang, Charles C Guo, Yaohong Wang, Peng Wei, Ziyi Li

Faculty, Staff and Student Publications

The identification of tumor cells is pivotal for understanding tumor heterogeneity and the tumor microenvironment. Recent advances in spatially resolved transcriptomics (SRT) have revolutionized the way that transcriptomic profiles are characterized and have enabled the simultaneous quantification of transcript locations in intact tissue samples. SRT is a promising alternative method to study gene expression patterns in spatial domains. Nevertheless, the precise detection of tumor regions within intact tissue remains a great challenge. A common strategy for identifying tumor cells is via tumor-specific marker gene expression signatures, which are highly dependent on marker accuracy. Another effective approach is through aneuploid copy …