Digital Commons Network^™

Reference Proteins To Improve Core 1 And Core 2 Alzheimer's Disease Csf And Plasma Biomarkers, Linda Karlsson, Nicolas R Barthélemy, Kanta Horie, Suzanne E Schindler, Brian A Gordon, Cyrus A Raji, Tammie L S Benzinger, John C Morris, Randall J Bateman, Et Al.

2020-Current year OA Pubs

Concentration-based fluid biomarkers represent an informative and cost-effective way to detect and monitor Alzheimer's disease (AD) pathology. However, non-AD-related interindividual variation in biofluids can also affect biomarker concentrations. Here, we investigated whether normalization of CSF and plasma biomarkers to reference proteins, such as amyloid-β40 (Aβ40) and non-phosphorylated mid-region tau (np-tau), improves their robustness and reliability of representing AD pathology load. Using the Swedish BioFINDER-2 cohort [n = 1702, 50.7% male, mean (standard deviation) age 68.4 (12.2) years], we compared the associations between tau/Aβ-PET load and fluid biomarkers alone versus biomarkers in a ratio with a reference protein (Aβ40 or np-tau) …

Gompertz Growth With A Shared Carrying Capacity Optimally Simulates Primary And Metastatic Tumor Growth Dynamics, Pirmin Schlicke, Preethi Korangath, Xiaoxi Pan, Caner Ercan, Kathleen Gabrielson, Lyndsey Werhane, Yinyin Yuan, Sébastien Benzekry, Robert Ivkov, Heiko Enderling

Faculty, Staff and Student Publications

Background: Cancer is a systemic disease with most deaths attributed to metastatic burden. Primary and metastatic tumors, albeit at different anatomic locations, are interconnected through multiple biological processes. Pre-clinical and clinical observations of growth acceleration of metastases after surgery, or abscopal effects outside the radiation field are widely reported, yet reliably triggering favorable and avoiding unfavorable systemic responses remains an unmet clinical need. Understanding local and systemic tumor interaction dynamics will help guide future treatments.

Methods: We analyze the data of multiple in vivo tumor models. We formalize the systemic interplay of tumors as mathematical differential equation and calibrate parameters …

Fronto-Cerebellar Features Associate With Cognitive Dysfunction In Childhood-Onset Systemic Lupus Erythematosus, Hanne Van Der Heijden, Gabrielle Alonzi, Amanda Cao, Raquel Van Gool, Merve Koç Yekedüz, Lise Vrolix, Itamar Ronen, Vanessa Rameh, Kyle Mcbrearty, Aditi Deokar, Robert P Sundel, Eyal Muscal, Joseph Gonzalez-Heydrich, Andrea Knight, Joyce C Chang, Jaymin Upadhyay

Faculty, Staff and Students Publications

Objective: Cognitive dysfunction (CD) is a prevalent symptom in childhood-onset systemic lupus erythematosus (cSLE). This study aimed to investigate the neurobehavioral basis of CD in cSLE.

Methods: Patients with cSLE (N=20) and age- and sex-matched healthy controls (HCs, N=20) completed questionnaires and multiple neurocognitive tests. The Systemic Lupus Erythematosus Disease Activity Index 2000 and laboratory markers were used to monitor patients' clinical status. Neuroimaging assessments included functional near-infrared spectroscopy (fNIRS), functional magnetic resonance imaging (fMRI), and structural MRI.

Results: cSLE patients demonstrated moderate disease activity with high inflammation and immune dysregulation, alongside low medication adherence. Relative to HCs, cSLE patients …

Cilia Dynamics In Primary Ciliary Dyskinesia: A Biophysical Characterization Of The Rsph4a Founder Variant, Gabriel Rosario-Ortiz, José Muñiz-Hernández, Natalia M Ortiz-Pérez, Marcos J Ramos-Benitez, Ricardo A Mosquera, Wilfredo De Jesús-Rojas

Faculty, Staff and Student Publications

Primary ciliary dyskinesia (PCD) is a rare ciliopathy resulting in chronic oto-sino-pulmonary disease. PCD diagnosis can be achieved by a combination of different diagnostic and adjuvant tools, including high-speed video-microscopy analysis (HSVA). A founder variant has been described in Puerto Rico as the most common cause of PCD in the island. Background/Objectives: In HSVA, objective parameters such as ciliary beat frequency (CBF) and subjective parameters such as ciliary beat pattern (CBP) shed light on the biophysical properties of cilia. However, the subjective nature of CBP creates a gap in knowledge; characteristics such as the length, angle, and bending index of …

From Fair To Cure: Guidelines For Computational Models Of Biological Systems, Herbert M. Sauro, Eran Agmon, Michael L. Blinov, John H. Gennari, Joseph L. Hellerstein, Adel Heydarabadipour, Bartholomew E. Jardine, Elebeoba May, David P. Nickerson, Lucian P. Smith, Gary D. Bader, Frank T. Bergmann, Patrick M. Boyle, Andreas Dräger, James R. Faeder, Song Feng, Juliana Freire, Fabian Fröhlich, James A. Glazier, Thomas E. Gorochowski, Tomas Helikar, Henning Hermjakob, Stefan Hoops, Peter Hunter, Princess I. Imoukhuede, Sarah M. Keating, Matthias König, Reinhard Laubenbacher, Leslie M. Loew, Carlos F. Lopez, William W. Lytton, Rahuman S. Malik-Sheriff, Andrew Mcculloch, Pedro Mendes, Lealem Mulugeta, Chris J. Myers, Jerry G. Myers, Anna Niarakis, David D. Van Niekerk, Brett G. Olivier, Alexander A. Patrie, Ellen M. Quardokus, Nicole Radde, Johann M. Rohwer, Sven Sahle, James C. Schaff, Falk Schreiber, T. J. Sego, Janis Shin, Jacky L. Snoep, Rajanikanth Vadigepalli, H. Steven Wiley, Dagmar Waltemath, Ion I. Moraru

Computational Medicine Center Faculty Papers

Guidelines for managing scientific data have been established under the FAIR principles, requiring that data be Findable, Accessible, Interoperable, and Reusable. In many scientific disciplines, especially computational biology, both data and models are key to progress. For this reason, and recognizing that such models are a very special type of "data", we argue that computational models, especially mechanistic models prevalent in medicine, physiology and systems biology, deserve a complementary set of guidelines. We propose the CURE principles, emphasizing that models should be Credible, Understandable, Reproducible, and Extensible. We delve into each principle, discussing verification, validation, and uncertainty quantification for model …

Chatgpt Versus Uptodate In Preclinical Medical Education: Cross-Sectional Analysis Using Term Frequency-Inverse Document Frequency Cosine Similarity, Shankar S. Thiru, Nicholas E. Aksu, Matthew Chiang, Daniel O. Gallagher, Mary Furlong, Elizabeth R. Prevou, Akhil Jay Khanna

Rothman Institute Papers

BACKGROUND: Generative artificial intelligence tools such as ChatGPT are increasingly used by medical students for self-directed learning. Although these models demonstrate linguistic fluency, their reliability as supplementary resources for preclinical education remains uncertain. In particular, comparisons with evidence-based references such as UpToDate are lacking.

OBJECTIVE: This study evaluated the similarity between responses generated by ChatGPT (with GPT-4o mini) and those from UpToDate to preclinical medical education questions to assess ChatGPT's potential as an adjunctive learning tool.

METHODS: We conducted a cross-sectional comparison study using 150 first-order questions derived from a preclinical question bank at a single allopathic institution under the …

Clinical Validation Of Perfusion Imaging With Pulmonary Function Test Data Using Voronoi-Based Discretization, Jorge Cisneros, Caleb J. Herrera, Yi-Kuan Liu, Lisa V. Du, Yevgeniy Vinogradskiy, Richard Castillo, Girish Nair, Edward Castillo

Department of Medicine Faculty Papers

Objective.Accurate lung function assessment is essential for diagnosing and managing diseases like chronic obstructive pulmonary disorder, pulmonary emboli, and lung cancer. Single-photon emission computed tomography (SPECT) provides valuable 3D functional imaging of ventilation and perfusion, but is limited by low spatial resolution, availability, additional radiation, and cost. Alternative methods, including CT-based perfusion (CT-P) and deep learning models, require large datasets to validate results that are often scarce. Pulmonary function tests (PFTs) offer rapid and noninvasive global lung function measures and are clinically widely used. While ventilation correlates well with PFTs, perfusion imaging presents challenges due to complex blood flow and …

An Ai Approach To Differentiating Lung Squamous Cell Carcinoma From Metastases Of Other Origins, Mark G Evans, Jennifer Ribeiro, Todd Maney, Anthony Helmstetter, Jennifer Johnson, Anthony Karnezis, Casey Bales, George Sledge, David Spetzler, Ari Vanderwalde, Matthew Oberley, Balazs Halmos, Hossein Borghaei, Farah Abdulla, David Bryant, Fred Hirsch, Hassan Ghani

Department of Medical Oncology Faculty Papers

IMPORTANCE: Distinguishing primary lung squamous cell carcinoma (SCC) from squamous metastases to the lung is a clinical challenge due to histopathologic similarities. Accurate diagnosis is essential to guide treatment decisions.

OBJECTIVE: To assess the utility of an artificial intelligence (AI) approach that includes evaluation of key orthogonal evidence in distinguishing primary lung SCCs from metastatic tumors of other tissue origins.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used GPSai, a tissue-of-origin AI model run automatically on each sample submitted for molecular profiling, to flag potential misdiagnoses among research-eligible cases submitted as lung SCC. Molecularly profiled cases within the Caris Life …

Improving Gene Isoform Quantification With Miniquant., Haoran Li, Dingjie Wang, Qi Gao, Puwen Tan, Yunhao Wang, Xiaoyu Cai, Aifu Li, Yue Zhao, Andrew L Thurman, Seyed Amir Malekpour, Ying Zhang, Roberta Sala, Andrea Cipriano, Chia-Lin Wei, Vittorio Sebastiano, Chi Song, Nancy R Zhang, Kin Fai Au

Faculty Research 2026

RNA sequencing has been widely applied for gene isoform quantification, but limitations exist in quantifying isoforms of complex genes accurately, especially for short reads. Here we identify genes that are difficult to quantify accurately with short reads and illustrate the information benefit of using long reads to quantify these regions. We present miniQuant, which ranks genes with quantification errors caused by the ambiguity of read alignments and integrates the complementary strengths of long reads and short reads with optimal combination in a gene- and data-specific manner to achieve more accurate quantification. These results are supported by rigorous mathematical proofs, validated …

Meta-Analysis Of Genetic Mapping Studies In Mice Reveals Candidate Epilepsy Modifier Genes That Are Outside The Current Drug Development Landscape., Giovanna L Durante, Anna L. Tyler, Rod C Scott, Amanda E Hernan, J Matthew Mahoney

Faculty Research 2026

OBJECTIVE: Despite decades of development in anti-seizure medications, ~30% of individuals remain refractory to all treatments, and none of the existing therapies are disease modifying. Identifying targets outside the current preclinical paradigm is critically important. This study aimed to characterize the landscape of current epilepsy treatments at the level of gene interaction networks and identify novel genetic modifiers of epilepsy as potential novel therapeutic targets.

METHODS: We performed a functional network analysis to score genes based on their interactions with known epilepsy genes, and we integrated these functional scores with population genetics data and drug tractability information. In parallel, we …

Meta-Analysis Of Genetic Mapping Studies In Mice Reveals Candidate Epilepsy Modifier Genes That Are Outside The Current Drug Development Landscape., Giovanna L Durante, Anna L. Tyler, Rod C Scott, Amanda E Hernan, J Matthew Mahoney

Faculty Research 2026

OBJECTIVE: Despite decades of development in anti-seizure medications, ~30% of individuals remain refractory to all treatments, and none of the existing therapies are disease modifying. Identifying targets outside the current preclinical paradigm is critically important. This study aimed to characterize the landscape of current epilepsy treatments at the level of gene interaction networks and identify novel genetic modifiers of epilepsy as potential novel therapeutic targets.

METHODS: We performed a functional network analysis to score genes based on their interactions with known epilepsy genes, and we integrated these functional scores with population genetics data and drug tractability information. In parallel, we …

Improving Gene Isoform Quantification With Miniquant., Haoran Li, Dingjie Wang, Qi Gao, Puwen Tan, Yunhao Wang, Xiaoyu Cai, Aifu Li, Yue Zhao, Andrew L Thurman, Seyed Amir Malekpour, Ying Zhang, Roberta Sala, Andrea Cipriano, Chia-Lin Wei, Vittorio Sebastiano, Chi Song, Nancy R Zhang, Kin Fai Au

Faculty Research 2026

RNA sequencing has been widely applied for gene isoform quantification, but limitations exist in quantifying isoforms of complex genes accurately, especially for short reads. Here we identify genes that are difficult to quantify accurately with short reads and illustrate the information benefit of using long reads to quantify these regions. We present miniQuant, which ranks genes with quantification errors caused by the ambiguity of read alignments and integrates the complementary strengths of long reads and short reads with optimal combination in a gene- and data-specific manner to achieve more accurate quantification. These results are supported by rigorous mathematical proofs, validated …

Use Of A Cystatin C-Based Gfr Equation In A Population Pharmacokinetic Model Of Methotrexate Clearance In Adult Patients With Lymphoma., Zachary L. Taylor, Erin F. Barreto, Kristin C. Cole, Andrew D. Rule, Kianoush B. Kashani, Nelson Leung, Carrie A. Thompson, Thomas E. Witzig, Laura Ramsey, Jason N. Barreto

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: High-dose methotrexate (HDMTX) is a key treatment for lymphoma with central nervous system involvement. Whether incorporating cystatin C into glomerular filtration rate estimation improves methotrexate (MTX) clearance prediction remains unclear.

OBJECTIVES: We aimed to evaluate whether cystatin C-inclusive glomerular filtration rate equations improve MTX clearance prediction and to explore the relationship between MTX exposure and acute kidney injury (AKI) in adult patients with lymphoma receiving HDMTX.

METHODS: This was a prospective single-center study performed on 80 adult patients with lymphoma receiving HDMTX (1.5-8 g/m²) over a 4-h infusion. A population pharmacokinetic model was constructed using data from …

Brief Report: Long-Acting Injectable Prep Can Substantially Reduce Hiv Incidence In Los Angeles County: A Simulation Study, Aditya Khanna, Francis Lee, Katrina Schrode, Daniel Sheeler, Anna Hotton, John Schneider, Kayo Fujimoto, Siri Chirumamilla, Ekow Kwa Sey, Nina T Harawa

Faculty, Staff and Student Publications

Background: Although oral pre-exposure prophylaxis (PrEP) has been instrumental in decreasing HIV incidence, its daily dosing regimen poses adherence challenges. Using an agent-based network model informed by empirical data, we simulate the impact of introducing long-acting injectable (LAI) PrEP among young Black men who have sex with men (YBMSM) in Los Angeles County, a group disproportionately affected by HIV.

Setting: Computer simulations using an agent-based network model.

Methods: We modeled HIV transmission among YBMSM over 10 years under scenarios varying the proportion of PrEP users opting for LAI instead of oral medications and adherence levels to LAI retention. The model …

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 …

Active Bone Marrow Dose Reconstruction In A Large-Scale Cohort Study Of Cancer Patients Treated With Photon Radiotherapy, Keith T Griffin, Kishan J Pithadia, Yeon Soo Yeom, Lior Braunstein, Kelly L Bolton, Lindsay M Morton, Choonsik Lee

2020-Current year OA Pubs

BACKGROUND: Previous studies have investigated the dose-response relationship between external beam radiotherapy (EBRT) and leukemia by reconstructing the mean active bone marrow (ABM) dose as part of the exposure assessment. However, no prior study has leveraged electronic medical records (EMR) to reconstruct ABM dose and dose-volume in an EBRT patient population.

PURPOSE: To support future studies on the relationship between radiation exposure and adverse health effects among EBRT patients, we demonstrate methods to retrospectively calculate ABM dose and dose-volume metrics in a large patient cohort using EMR.

METHODS: We retrieved complete EMR for 639 individuals (five pediatric and 634 adult) …

Online Tutorial On Survival Analysis For Biomarker Discovery, Jaka Kokošar, Ela Praznik, Martin Špendl, Nancy P Moreno, Alana Newell, Gad Shaulsky, Blaž Zupan

Faculty, Staff and Students Publications

In biomedicine, survival analysis addresses time-to-event data to study outcomes like patient survival and treatment response, and supports biomarker discovery. Yet, teaching this analysis is often hindered by mathematical and programming barriers. We present a structured, hands-on tutorial that goes beyond a typical online guide-offering integrated video lectures, literature, quizzes, and practical exercises. Built around Orange Data Mining, an open and free no-code visual analytics platform, the tutorial covers key concepts such as censoring, Kaplan-Meier curves, group comparisons, and biomarker discovery through real-world datasets. Organized in four pedagogical units, it progresses from basic survival data analysis to gene and gene-set …

In Vitro Studies Of The Effects Of Antithrombotic Zn-Dipicolylamine-Harboring Liposomes (Dpals) On Serum Albumin And Human Umbilical Vein Endothelial Cells, Michelle Tanujaya, Gianna Cai, Jia Patel, Zana Moldavsky, Yumna Ejaz, Malia Mahazabin Ahmed, Sangsang Duong, Lawrence E. Goldfinger, Koon Y. Pak, Brian D. Gray, Parkson Lee-Gau Chong

Cardeza Foundation for Hematologic Research

Thrombosis remains a leading cause of cardiovascular morbidity and mortality. During thrombosis, activated platelets and endothelial cells expose phosphatidylserine (PS) on their outer membranes, creating a surface that accelerates clot formation. Current antithrombotic therapies, such as heparin and warfarin, carry significant bleeding risks, highlighting the need for safer alternatives. In response, we developed a PS-targeting liposomal formulation composed of Zn-dipicolylamine (DPA)-cyanine-3[22,22] and 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (molar ratio 3:97). This DPA-harboring liposome (DPAL) binds selectively to PS-rich surfaces such as activated platelets and has demonstrated efficacy in reducing thrombosis in mouse models, with minimal bleeding. In the present study, we examined the interaction …

Hiv Infection, Neurotoxicity, Inflammation, Premature Aging, And Therapeutic Challenges To Plwh: An Overview, Mudit Tyagi, Ulhas P. Naik, Kratika Tyagi, Madhulika Sharma, Gagan Kaushal, Alok Bhushan, Michael Bukrinsky, Priya Tyagi

Department of Medicine Faculty Papers

HIV infection remains a major global health challenge due to its complex pathogenesis and lifelong persistence in people living with HIV (PLWH). A central barrier to eradication is the virus's ability to establish long-lived latent reservoirs in different tissues, including the central nervous system (CNS), where it evades immune clearance and antiretroviral therapy (ART). These reservoirs, seeded early during infection, fuel viral rebound if ART is interrupted, requiring lifelong treatment. In the CNS, HIV persists despite systemic viral suppression because of limited ART penetration across the blood-brain barrier (BBB), and infection of long-lived cells such as microglia and perivascular macrophages. …

Defining Clinically Relevant Responses In Erectile Function: An Smsna Position Statement, Landon Trost, Faysal Yafi, Alan Shindel, Mohit Khera, Raymond C Rosen, Petar Bajic, Helen Bernie, Martin Gross, Johanna Hannan, Sevann Helo, Lawrence Jenkins Ii, Carol Podlasek, Daniel Watter, Matthew Ziegelmann, Tobias Köhler

Faculty, Staff and Students Publications

Background: To date, no scoring system has adequately defined clinical efficacy of erectile dysfunction (ED) therapies when evaluating differences between cohorts or in meta-analytic studies.

Aim: To outline the minimal criteria required for any therapy to be considered clinically effective in the treatment of ED.

Methods: An analytic review was performed of standardized ED questionnaires, with a particular emphasis placed on the International Index of Erectile Function, Erectile Function Domain (IIEF-EFD), and the minimally clinically important difference (MCID) concept. The data were used to create a societal position statement and recommendations on best practices within clinical trials to determine treatment …

Ubiquitination Of Oncogenic Mutant P53 Via Attenuation Of Ribosome Biogenesis Machinery Effectively Inhibits Pancreatic Tumor Growth, Mudassier Ahmad, Sahir Sultan Alvi, Haider Ahsan, Carlos Perez, Andrew Massey, Vivek K Kashyap, Neeraj Chauhan, Emmanuel Anning, Manish K Tripathi, Dae J Kim, Nirakar Sahoo, Tamer Oraby, Murali M Yallapu, Mohammad Moshahid Khan, Manu M Sebastian, Subhash C Chauhan, Bilal B Hafeez

Faculty, Staff and Student Publications

Dysregulated ribosome biogenesis and p53 mutations are known to play oncogenic roles in various cancers, including pancreatic cancer. In this study, we demonstrated the therapeutic potential of BMH-21, a pharmacologic inhibitor of RNA polymerase I, against pancreatic cancer by uncovering a novel molecular mechanism involving RPA194-mediated ubiquitination of mutant p53 without affecting the ubiquitination of wild-type p53. Our key findings are that (i) BMH-21 selectively induces apoptosis and cell growth inhibition of pancreatic cancer cells with no effect on normal human pancreatic ductal epithelial cells; (ii) BMH-21 degrades RPA194; (iii) BMH-21 inhibits recruitment of both RPA194 and RPA135 on rDNA …

Physics-Informed Self-Supervised Diagnosis Of Rotating Machinery Using Latent Odes And Transformer Encoders, Md Al Amin, Mohammad Shafat Ahsan, Jannatul Maua, Mumtahina Ahmed, Kamruddin Nur

Student Publications [Scholarly]

This paper proposes a novel Physics-Informed Self-Supervised Diagnosis (PI-SSD) framework for rotating machinery fault detection, combining physical modeling, self-supervised representation learning, and uncertainty-aware classification. The architecture integrates a multi-resolution convolutional encoder, a windowed Transformer for temporal context modeling, and a latent neural ordinary differential equation (ODE) module that embeds mechanical priors, such as Jeffcott rotor dynamics, directly into the learning process. A masked segment reconstruction objective enables self-supervised pretraining using unlabeled healthy signals, while an evidential classifier head produces fault probabilities with calibrated uncertainty. We evaluate PI-SSD on two publicly available datasets, the NASA PHM’09 Gearbox dataset and the Aalto …

A Guide To Transcriptomic Deconvolution In Cancer, Yaoyi Dai, Shuai Guo, Yidan Pan, Carla Castignani, Matthew D Montierth, Peter Van Loo, Wenyi Wang

Faculty, Staff and Student Publications

Cancer tissues are heterogeneous mixtures of tumour, stromal and immune cells, where each component comprises multiple distinct cell types and/or states. Mapping this heterogeneity and understanding the unique contributions of each cell type to the tumour transcriptome is crucial for advancing cancer biology, yet high-throughput expression profiles from tumour tissues only represent combined signals from all cellular sources. Computational deconvolution of these mixed signals has emerged as a powerful approach to dissect both cellular composition and cell-type-specific expression patterns. Here, we provide a comprehensive guide to transcriptomic deconvolution, specifically tailored for cancer researchers, presenting a systematic framework for selecting and …

Accelerated Diffusion Basis Spectrum Imaging With Tensor Computations, Kainen L Utt, Jacob S Blum, Donsub Rim, Sheng-Kwei Song

2020-Current year OA Pubs

This paper introduces an advanced framework for accelerated processing of diffusion-weighted imaging (DWI) data that utilizes an entire-image modeling approach to optimize the estimation of diffusion parameters from DWIs by mapping input diffusion data to predicted signals and estimating parameter values via a stochastic gradient descent optimizer (Adam). To validate this approach, we applied this framework to diffusion basis spectrum imaging (DBSI) and analyzed in vivo human brain and ex vivo mouse brain DWIs. Results demonstrate significant improvements to computational speed and signal-to-noise ratio (SNR) in estimated parameter maps compared to standard DBSI. Our approach is applicable to any diffusion …

Evaluation Of Large Language Models As Decision Support Tools For Head And Neck Cancer Management: A Blinded Multidisciplinary Simulation Study, Sholem Hack, Ron J. Karni, Antonino Maniaci, Christopher E. Fundakowski, Luca Castellani, Fabiola Incandela, Remo Accorona, Miguel Mayo-Yanez, Martina Violati, Lorenzo Giannini, Niccolo' Mevio, Alberto Maria Saibene

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

BACKGROUND: The management of head and neck cancer relies on multidisciplinary expertise; however, access to tumor boards remains variable. Large language models (LLMs) may support guideline-based decision-making, although performance in complex oncologic scenarios is not well defined.

METHODS: Fourteen synthetic cases based on real tumor board encounters were evaluated. Five blinded comparator arms produced recommendations: a human expert, Non-RAG-GPT-4, Non-RAG-GPT-5, RAG-GPT-4, and RAG-GPT-5. Eight head and neck oncologic surgeons scored each recommendation for appropriateness, clarity, specificity, and feasibility using 5-point Likert scales. Paired permutation testing and inter-rater reliability were assessed.

RESULTS: LLM outputs showed close alignment with expert recommendations. RAG-based …

Novel R Shiny Tool For Survival Analysis With Time-Varying Covariate In Oncology Studies: Overcoming Biases And Enhancing Collaboration, Yimei Li, Yang Qiao, Fei Gao, Jordan Gauthier, Qiang Ed Zhang, Jenna Voutsinas, Wendy Leisenring, Ted Gooley, Corinne Summers, Alexandre Hirayama, Cameron Turtle, Rebecca Gardner, Jarcy Zee, Qian Vicky Wu

Wills Eye Hospital Papers

PURPOSE: Our study is motivated by evaluating the role of hematopoietic cell transplantation (HCT) after chimeric antigen receptor T-cell (CAR-T) therapy for ALL, a debated topic. Because patients may receive HCT at different times after CAR-T infusion or never, HCT post-CAR-T should be considered as a time-varying covariate (TVC).

METHODS: Standard Cox models and Kaplan-Meier (KM) curves (naïve method) assume that TVC status is known and fixed at baseline, which can yield biased estimates. Landmark analysis is a popular alternative but depends on a chosen landmark time. Time-dependent (TD) Cox model is better suited for TVC although visualizing survival curves …

Differentiation In The Human Urothelia Is Defined By Distinct Alternative Polyadenylation, Ninh B Le, Surbhi Sona, Briana Santo, Yi Zhang, Rosie Ou, R Allen Schweickart, Veena Kochat, William I Padron, Kunal Rai, Shih-Han Lee, Joo Mi Yi, Oliver Wessely, Byron H Lee, Angela H Ting

Faculty, Staff and Student Publications

Distinct epithelial cell states arise during differentiation, but mechanisms generating transcriptomic diversity among them remain poorly defined. The human ureter urothelium contains basal progenitor, intermediate cells, and terminally differentiated umbrella cells. Prior single-cell RNA sequencing revealed similar global gene expression profiles across these states, raising the question of how distinct identities emerge. Here, we show that alternative cleavage and polyadenylation (APA) introduces a major layer of transcriptomic diversity during urothelial differentiation, largely independent of changes in mRNA levels. Analysis of 13,544 urothelial cells identified hundreds of differentiation-associated APA events. Single-cell imaging revealed spatially specific APA patterns, and reporter assays demonstrated …

Differentiation In The Human Urothelia Is Defined By Distinct Alternative Polyadenylation, Ninh B Le, Surbhi Sona, Briana Santo, Yi Zhang, Rosie Ou, R Allen Schweickart, Veena Kochat, William I Padron, Kunal Rai, Shih-Han Lee, Joo Mi Yi, Oliver Wessely, Byron H Lee, Angela H Ting

Faculty, Staff and Student Publications

Distinct epithelial cell states arise during differentiation, but mechanisms generating transcriptomic diversity among them remain poorly defined. The human ureter urothelium contains basal progenitor, intermediate cells, and terminally differentiated umbrella cells. Prior single-cell RNA sequencing revealed similar global gene expression profiles across these states, raising the question of how distinct identities emerge. Here, we show that alternative cleavage and polyadenylation (APA) introduces a major layer of transcriptomic diversity during urothelial differentiation, largely independent of changes in mRNA levels. Analysis of 13,544 urothelial cells identified hundreds of differentiation-associated APA events. Single-cell imaging revealed spatially specific APA patterns, and reporter assays demonstrated …

A Universal Of Human Social Cognition: Children From 17 Communities Process Gaze In Similar Ways, Manuel Bohn, Julia Christin Prein, Agnes Ayikoru, Florian M. Bednarski, Ardain Dzabatou, Michael C. Frank, Annette M.E. Henderson, Joan Isabella, Josefine Kalbitz, Patricia Kanngiesser, Dilara Keşşafoğlu, Bahar Köymen, Maira V. Manrique-Hernandez, Shirley Magazi, Lizbeth Mújica-Manrique, Julia Ohlendorf, Damilola Olaoba, Wesley R. Pieters, Sarah Pope-Caldwell, Katie Slocombe, Robert Z. Sparks, Jahnavi Sunderarajan, Wilson Vieira, Zhen Zhang, Yufei Zong, Roman Stengelin, Daniel B.M. Haun

School of Psychology

Theoretical accounts typically assume that key features of human socio-cognitive development are universal. This paper reports a large-scale cross-cultural study (17 communities, diverse ethnicities, N = 1,377, 709 female, mean = 5.50 years, -collected March 2022 to January 2024) on gaze following in early childhood. To test for universality, cognitive processing signatures were derived from a computational model treating gaze following as social vector estimation. Results showed substantial variation between communities and individuals. Yet, the processing signature was found in all communities. Individual differences in performance were related to children's familiarity with the data-collection device but not opportunities for social …

Simulated Complex Cells Contribute To Object Recognition Through Representational Untangling, Mitchell B Slapik, Harel Z Shouval

Faculty, Staff and Student Publications

The visual system performs a remarkable feat: it takes complex retinal activation patterns and decodes them for object recognition. This operation, termed "representational untangling," organizes neural representations by clustering similar objects together while separating different categories of objects. While representational untangling is usually associated with higher-order visual areas like the inferior temporal cortex, it remains unclear how the early visual system contributes to this process-whether through highly selective neurons or high-dimensional population codes. This article investigates how a computational model of early vision contributes to representational untangling. Using a computational visual hierarchy and two different data sets consisting of numerals …