Digital Commons Network^™

Attention-Based Multi-Omics Fusion For Drug Synergy Prediction, Kusal Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Drug combination therapy in disease management gained popularity in the last few decades. Computational modeling of such combinations is an active area of research in the drug discovery domain. While earlier approaches solely emphasized on the structural features of participating drugs for designing synergistic models, they lack other crucial factors directly linked with drug administration - omics expressions. As differential omics expression is a downstream consequence of the administered drug combinations, utilizing such expressions while designing synergistic models promises robust and dynamic modeling. In this work, we propose SynergyLM that fuses multi-omics features with drug embeddings to build an omics-aware …

Chromnet: A Multi-Task Learning Framework For Cross-Cell Type Prediction Of 3d Chromatin Interactions Using Epigenetic Signals, Bin Wang, Shaokai Wang, Liqing Ding, Hongdong Li, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

The 3D organization of chromatin plays a fundamental role in gene regulation, cellular function, and disease mechanisms. However, current experimental techniques, such as Hi-C, remain costly and labor-intensive, limiting their application in large-scale and disease-related studies. To address this challenge, ChromNet is presented, a multi-task learning framework that integrates epigenetic signals across diverse cell types to enable high-precision prediction of chromatin architecture. By incorporating noise perturbation and auxiliary classification tasks, ChromNet improves the identification of topologically associating domains (TADs) and cell-type-specific chromatin structures, demonstrating superior generalization performance. Notably, ChromNet accurately predicts chromatin interactions in acute myeloid leukemia (AML) samples by …

Comparing Autodissemination, Soil Inoculation And Their Combination As Modes Of Application Of Metarhizium Anisopliae Icipe 69 On The Melon Fly Infesting Courgette In Kenya Under Semi-Field Conditions, Rehemah Gwokyalya, Thomas Dubois, Susan K. Onsongo, Joseph A. Odhiambo, Komivi Senyo Akutse, Samira A. Mohamed

All Peer-Reviewed Publications

The melon fly Zeugodacus cucurbitae (Coquillett) (Diptera: Tephritidae) is a significant pest of cucurbit crops, responsible for substantial yield losses and economic damage across Asia and Sub-Saharan Africa. Control of this pest currently relies heavily on synthetic insecticides, which are associated with environmental and human health risks, and contribute to the development of insecticide resistance. Entomopathogenic fungi offer a promising eco-friendly alternative, yet effectiveness of delivery methods remains a critical limitation in their widespread adoption. This study evaluated the efficacy of three application modes of Metarhizium anisopliae (Mechnikov) Sorokin (Hypocreales: Clavicipitaceae) isolate ICIPE 69, autodissemination devices (AD), soil inoculation (soil), …

Fumigant Toxicity Of Essential Oils From Chemotypes Of Curry Tree (Murraya Koenigii) Against Adult African Malaria Mosquito (Anopheles Gambiae Sensu Stricto), Clarence M. Mang’Era, Fathiya M. Khamis, Ahmed Hassanali, Paul O. Mireji

All Peer-Reviewed Publications

The toxicity of fumigant formulations of essential oils (EOs) from curry tree (Murraya koenigii (L.) Spreng (Rutaceae)) against African malaria adult mosquito (Anopheles gambiae sensu stricto (Giles, 1902) (Diptera: Culicidae: Culicini)) was evaluated to identify most effective chemotype of the curry tree against the mosquitoes. Ninety-two compounds (91.78%–96.47% coverage) in the EO profiles were identified, among which EO isolated from curry tree chemotype from Kibwezi was most toxic. This chemotype had a median lethal dose (LD50) of 3.6 × 10⁻³ mg/cm³ (95% CI: 2.70–4.58) and a lethal time (Ti50) of 1.91 ± 0.086 h (p < 0.001). The equivalent LD50 of EOs of chemotypes from Mombasa, Makindu, and Malindi in Kenya was 4.9 × 10⁻³, 6.6 …

Thermal Requirements And Phenology Modelling Of A Drosophila Suzukii Population: Implications For Pest Risk Under A Changing Climate, Shepard Ndlela, Abdelmutalab G.A. Azrag, Esther Owino Awuor, Ibrahim Maholidy Farid, Samira Abuelgasim Mohamed

All Peer-Reviewed Publications

Drosophila suzukii (spotted-wing drosophila) is an invasive pest causing significant economic losses in soft-skinned fruit crops globally. This study presents comprehensive temperature-dependent life table data and phenology models for an African D. suzukii population collected in Kenya. Developmental time, mortality, fecundity, and adult longevity were assessed under constant temperatures from 12 to 30 °C. Using Insect Life Cycle Modelling (ILCYM) software, linear and nonlinear models were applied to characterise the effects of temperature on life history traits. Additionally, spatial risk indices including Establishment Risk Index (ERI), Generation Index (GI), and Activity Index (AI) were mapped globally for current and future …

Sustainable Control Of Pests And Striga Weed Through Intensified Push-Pull Technology And Frass-Based Soil Amendments, Evanson R. Omuse, Honest Machekano, Daniel M. Mutyambai, Dennis Beesigamukama, Chrysantus M. Tanga, Samwel O. Ogaji, Sevgan Subramanian, Frank Chidawanyika

All Peer-Reviewed Publications

Crop productivity under African smallholder farming systems is faced by numerous challenges, including insect pests, weeds, low soil fertility, and climate change. Sustainable intensification, such as push-pull (PP) technology and vegetable-integrated push-pull (VIPP) technology, coupled with soil organic amendments such as black soldier fly frass fertilizer (BSFFF), can address these agricultural constraints. We investigated the individual and synergistic effects of cropping systems comprising two crops [maize (DK777 variety) and cowpea (KVU27 variety)] and agroecological strategies (PP, VIPP and BSFFF) on the management of pests and Striga weeds and crop productivity in three different geographical areas. Diversified cropping systems (PP and …

Intensified Push-Pull Technology Enhances Above-Ground Arthropod Assemblages And Ecological Balance, Evanson R. Omuse, Honest Machekano, Daniel M. Mutyambai, Bonoukpoe M. Sokame, Chrysantus M. Tanga, Johnson O. Nyasani, Sevgan Subramanian, Frank Chidawanyika

All Peer-Reviewed Publications

Agroecological intensification aims to increase farm productivity, reduce dependency on external inputs, and enhance biodiversity conservation. However, the contribution of recent sustainable agricultural practices to arthropod assemblages and their ecosystem services remains underexplored. Through a 2-year multilocation trial, we investigated the response of above-ground arthropod assemblages and their ecological functions in cowpea and maize grown under monocropping systems and diversified systems (pure and intensified push-pull technologies). Using three sampling methods (visual observations, pitfall traps, sticky traps), a total of 65, 307 arthropod specimens were collected. The most dominant arthropod taxa were Hemiptera (true bugs; 47%), followed by Thysanoptera (thrips; 17%), …

Impacts Of Multitrophic Interactions In Diversified Cropping Systems For Sustainable Management Of Spodoptera Frugiperda, Abdul A. Jalloh, Abdullahi Ahmed Yusuf, Fathiya M. Khamis, Subramanian Sevgan, Daniel Munyao Mutyambai

All Peer-Reviewed Publications

Background: Rapid population growth has made the sustainable intensification of agricultural productivity essential for meeting global food demands while maintaining environmental integrity and biodiversity. Diversified cropping systems, such as intercropping, push-pull systems, and cover cropping, are recognized as agroecological strategies to enhance plant growth and protection, and suppress major pests, including the fall armyworm (FAW, Spodoptera frugiperda). These systems influence complex above-and-below ground interactions among herbivorous pests, plants, soil microbes, and their natural enemies. Aims: This review synthesizes current knowledge on how diversified cropping systems shape multitrophic interactions that affect soil health, plant performance, S. frugiperda suppression, and biocontrol within …

A Comprehensive Overview Of Neurophysiological Correlates Of Cognitive Impairment In Amyotrophic Lateral Sclerosis, Seyyed Bahram Borgheai, Brie E. Achorn, Alyssa H. Zisk, Sarah M. Hosni, Karl E. G. Richter, Frank S. Menniti, Yalda Shahriari

Computer Science Faculty Publications

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that leads to the gradual loss of motor control, typically resulting in paralysis and death within 3 to 5 years of diagnosis. ALS shares neuropathological and genetic associations with fronto-temporal dementia (FTD), a neurodegenerative condition primarily impacting cognitive functions. These two conditions are increasingly viewed as manifestations of a single molecular disease process that affects distinct brain systems, impacting motor neuronal pathways in ALS and fronto-cortical functions in FTD. However, this simple dichotomy belies the complexity of these conditions. In particular, patients with primary motor ALS can also experience significant cognitive …

Untrained Position-Encoded Multilayer Perceptron Network For Structured Illumination Microscopy Reconstruction, Sahil Sharma, Leonidas Zimianitis, Krishnendu Samanta, Balpreet Singh Ahluwalia, Joby Joseph, Dushan N. Wadduwage

Computer Science Faculty Publications

Structured Illumination Microscopy (SIM) enables super-resolution imaging by encoding high-frequency spatial information through patterned light. While traditional Fourier-based reconstruction methods are prone to artifacts under suboptimal conditions, recent deep learning approaches often require large training datasets and lack adaptability across different imaging setups. In this work, we present Position Encoded Multi-Layer Perceptron (PEM) network that leverages implicit neural representations (INRs) and SIM forward-model-driven modeling to reconstruct super-resolved images without any training data. PEM-SIM represents each spatial coordinate as a combination of sinusoidal functions across multiple frequencies, enabling rich encoding of fine spatial detail. A forward model grounded in SIM image …

Adaptive Self-Attention For Enhanced Segmentation Of Adult Gliomas In Multi-Modal Mri, Evan P. Savaria, Jiangwen Sun

Computer Science Faculty Publications

Every year there are an estimated 80,000–90,000 new glioma cases, highlighting the need for reliable imaging-based decision support. Although deep learning has improved tumor sub-region segmentation, many state-of-the-art models fail to fully capture complementary information across T1, T1Gd, T2, and FLAIR MRI modalities and often operate as “black boxes,” limiting physician trust when precise delineation is critical for surgical planning, radiation targeting, and treatment monitoring. To address these limitations, we propose AIMS, an Adaptive Integrated Multi-Modal Segmentation framework that maintains modality-specific feature streams and employs adaptive self-attention within a hierarchical CNN-Transformer architecture to prioritize and fuse multi-modal MRI features. We …

Sage: Spatially Aware Gene Selection And Dual-View Embedding Fusion For Domain Identification In Spatial Transcriptomics, Yi He, Yunpei Xu, Liqing Ding, Hong-Dong Li, Yaohang Li, Shaokai Wang

Computer Science Faculty Publications

Despite enabling high-resolution mapping of gene expression within tissues, spatial transcriptomics (ST) still faces challenges in accurately segmenting spatial domains due to complex tissue architecture and limitations of current methods. Most approaches rely on local spatial priors, lack gene-level interpretability, and fall short in capturing structure-discriminative genes or long-range functional relationships, limiting their ability to resolve biologically meaningful architectures. We present Spatially Aware Gene selection and dual-view Embedding fusion (SAGE), a unified and reproducible framework for domain identification in spatial transcriptomics that combines topic-driven gene selection with dual-view embedding fusion to address these gaps. SAGE integrates non-negative matrix factorization (NMF)-based …

Integration Of Hybrid Quantum-Neuromorphic Ai With Cloud, Edge, And High-Performance Computing Environments, Arun B. Prasad, Ajay Prasad, Dineshkumar Rajendran, Anurag Tiwari, T. Akilan, Islombek Khushvaktov

Computer Science Faculty Publications

The convergence of quantum computing, neuromorphic learning, and distributed cloud infrastructures has occurred very rapidly, and intelligent systems are now providing new opportunities, but the challenge of instability, complexity of orchestration, and noise sensitivity remains in the way of practical integration. The proposed work is based on a hybrid quantum and neuromorphic architecture, which is the integration of event-based neuromorphic adaptation and quantum-assisted global optimization, orchestrated by cloud-HPC. The architecture presents the thermodynamically regularized learning and resourceful task scheduling to the probabilistic search and the continuous local adaptation. Experimental evaluation across financial modeling, medical imaging, and physical system prediction shows …

Modeling Joint Visual Attention In Naturalistic Dyadic Interactions, Kuushini Thennakoon, Yasasi Abeysinghe, Bhanuka Mahanama, Vikas Ashok, Sampath Jayarathna

Computer Science Faculty Publications

Joint visual attention (JVA) provides important insight into how individuals coordinate attention during social interaction. Egocentric eye tracking enables the study of JVA in natural, multi-user settings. This work presents a multi-stage framework to identify and analyze JVA using egocentric video and gaze data. The approach consists of three steps: spatiotemporal tube-based visual similarity, gaze-guided object detection, and attention pattern analysis using the ambient–focal coefficient K. Results show that object-focused collaborative activities exhibit high JVA, with object detection capturing higher joint attention than visual similarity, whereas conversation-based or independent activities show lower and more fragmented joint attention. Analysis of K …

Roles Of Cytokines In Modulating Trypanosoma Brucei Rhodesiense Infection Outcomes In Vervet Monkeys, Clarah Jebet, John Kibuthu Thuita, Daniel Masiga, Benedict Owino Orindi, John Oidho, Mark C. Field, Enock Matovu, Vincent Owino Adung’A

All Peer-Reviewed Publications

Introduction:

Human African trypanosomiasis (HAT), caused by Trypanosoma brucei rhodesiense, is categorized as acute due to rapid disease progression but presents varying clinical outcomes. Although the mechanisms underpinning differential clinical progression are poorly understood, both host and parasite factors are implicated. Therefore, we sought to elucidate roles of primate host factors in mediating varying T. b. rhodesiense infection outcomes.

Methods:

Here, we assessed the roles of selected host cytokines in disease progression using a tsetse-mediated infection in a non-human primate (NHP) vervet monkey model that closely mimics HAT and natural infection. We quantified eight cytokines, including TNF-α, IFN-γ, IL-10, IL-6, …

Direct And Indirect Metal Contamination Of Estuarine Sediments By Boat Paint Particles, Andrew Turner, Ho Kwan Cheung

School of Geography, Earth and Environmental Sciences

Surface and subsurface estuarine sediments close to a cluster of abandoned boats have been fractionated (between <250 and 5000 μm) and analysed microscopically for paint particles. Paints were encountered in all samples, with concentrations calculated for whole sediment samples up to 1450 per kg (dry weight). X-ray fluorescence (XRF) analysis of paint particles retained by the coarsest (>5000 μm) size fraction revealed heterogeneous concentrations of Ba, Cu, Pb, Sn and Zn that reflect pigments and antifoulants used in various recent and historical antifouling and above waterline boat paints. Analysis of sediments by XRF revelated heterogeneous distributions of these metals between locations, size fractions and depths, and among replicate measurements at different positions of the same sample. Consequently, no relationship with grain size (evaluated using Rb as a proxy) was evident and concentrations often greatly exceeded predicted effect levels for sediments. Re-analysis …

Presence And Characteristics Of Plastics And Microplastics On The Seabed Of The Western English Channel, Faye Read, Andrew Turner

School of Geography, Earth and Environmental Sciences

Little is known about the presence, distribution, origins and characteristics of plastic litter and microplastics on the ocean floor. In this study, plastics trawled from the bed of the western English Channel have been categorised and analysed by a variety of optical and spectroscopic techniques. A total of 90 plastic samples were classified, in descending order of abundance, as food-drink packaging, unknown, homeware, military and fishing. Most samples showed varying degrees of weathering (e.g., discolouration, distortion, cracking, fragmentation) and were visibly fouled by calcareous deposits. The majority of samples were constructed of polymers of negative buoyancy (e.g., polyamides, polyethylene terephthalate …

Microbial Collagenase Activity Is Linked To Oral–Gut Translocation In Advanced Chronic Liver Disease, Shen Jin, Aurelie Cenier, Daniela Wetzel, Bethlehem Arefaine, Mar Moreno-Gonzalez, Marilena Stamouli, Merianne Mohamad, Mariia Lupatsii, Emilio Ríos, Sunjae Lee, Ane Zamalloa, Shilpa Chokshi, Adil Mardinoglu, Saeed Shoaie, Naiara Beraza, Vishal C. Patel, Melanie Schirmer

Peninsula Medical School

Microbiome perturbations are associated with advanced chronic liver disease (ACLD), but how microorganisms contribute to disease mechanisms is unclear. Here we analysed metagenomes of paired saliva and faecal samples from an ACLD cohort of 86 individuals, plus 2 control groups of 52 healthy individuals and 14 patients with sepsis. We identified highly similar oral and gut bacterial strains, including Veillonella and Streptococcus spp., which increased in absolute abundance in the gut of patients with ACLD compared with controls. These microbial translocators uniquely share a prtC gene encoding a collagenase-like proteinase, and its faecal abundance was a robust ACLD biomarker (area …

Global Manta And Devil Ray Population Declines: Closing Policy And Management Gaps To Reduce Fisheries Mortality, Betty J.L. Laglbauer, Nidhi G. D'Costa, Joshua D. Stewart, Marta D. Palacios, Melissa Cronin, Daniel Fernando, Nerea Lezama-Ochoa, Asia O. Armstrong, Rima W. Jabado, Sarah Fowler, Julia M. Lawson, Olga Koubrak, Jefferson Murua, Thanda Ko Gyi, Divya Karnad, Mayuri Chopra, Giuseppe Notarbartolo-Di-Sciara, Joshua Rambahiniarison, Don Croll, Stefany Rojas, Abdulaziz Fahmi, Joanna L. Harris, Alifa Binthe Haque, Hilario Murua, Juan Carlos Pérez-Jiménez, Emily Humble, Ellen Barrowclift, Muhammad G. Salim, Godefroy De Bruyne, Issah Seidu

School of Biological and Marine Sciences

Significant progress has been made in advancing priority actions to conserve manta and devil rays, yet implementation and enforcement of protective measures often fall short, leaving most mobulid populations at risk of overfishing. Drawing on a literature review, fisheries databases, agency reports, and expert interviews, we assess global trends in mobulid catch and mortality. We examine both targeted and incidental catch, in small (<15 m, ‘SV’) and large (>15 m, ‘LV’) vessel fisheries to identify hotspots with the highest risk of fisheries-related mortality and population decline. We estimate global fisheries catch at 264,520 (184,407–344,987) mobulids per year, with SV fisheries accounting for 87 % …

Focused Ultrasound-Enhanced Nose-To-Brain Delivery Of A Therapeutic Antibody In A Large-Animal Model, Siaka Fadera, Cristian Antonio Wieczorek Villas Boas, Yimei Yue, Zhaoning Gu, Jinyun Yuan, Debolina De, Buck E Rogers, Arash Nazeri, Hong Chen

2020-Current year OA Pubs

No abstract provided.

Coordinated Regulation Of Capping Protein By Carmil And V-1/Myotrophin, John A Hammer, John A Cooper

2020-Current year OA Pubs

Capping Protein (CP) plays a central role in controlling actin filament dynamics in almost all eukaryotic cell types by virtue of its ability to block monomer addition and loss at the barbed end of the actin filament. Like other proteins that control actin assembly, CP is subject to regulation. Here we focus on two direct regulators of CP-CARMIL and V-1/Myotrophin. Specifically, we review recent biochemical, structural, imaging, and cell biological data that argue these two proteins cooperate to create a regulatory cycle for CP that controls its availability, activity, and site of action in the cell. Finally, we discuss unresolved …

Atomic Models Of The Toxoplasma Cell Invasion Machinery, Jianwei Zeng, Yong Fu, Pengge Qian, Wei Huang, Qingwei Niu, Wandy L Beatty, Alan Brown, L David Sibley, Rui Zhang

2020-Current year OA Pubs

Apicomplexan parasites, responsible for toxoplasmosis, cryptosporidiosis and malaria, invade host cells through a unique gliding motility mechanism powered by actomyosin motors and a dynamic organelle called the conoid. Here, using cryo-electron microscopy, we determined structures of four essential complexes of the Toxoplasma gondii conoid: the preconoidal P2 ring, tubulin-based conoid fibers, and the subpellicular and intraconoidal microtubules. Our analysis identified 40 distinct conoid proteins, several of which are essential for parasite lytic growth, as revealed through genetic disruption studies. Comparative analysis of the tubulin-containing complexes sheds light on their functional specialization by microtubule-associated proteins, while the structure of the preconoidal …

Influence Of Obesity And Insulin Resistance With Hepatic Steatosis On The Human Plasma Lipidome, Max C Petersen, Gordon I Smith, Aaron M Armando, Xiong Su, Oswald Quehenberger, Edward A Dennis, Samuel Klein

2020-Current year OA Pubs

Insulin resistance accompanied by hepatic steatosis is a common complication of obesity. In an effort to identify plasma lipids that could be biomarkers or causes of insulin resistance with steatosis in people with obesity, we evaluated the plasma lipidome in three distinct groups separated by adiposity, hepatic steatosis, and insulin sensitivity, assessed by using the hyperinsulinemic-euglycemic clamp procedure: i) insulin-sensitive lean (ISL, n = 13); ii) insulin-sensitive obese (ISO, n = 14); and iii) insulin-resistant obese with hepatic steatosis (IROS, n = 13). We evaluated 759 complex lipid species in 16 subclasses (including phospholipids, glycerolipids, sphingolipids, acylcarnitines, and cholesteryl esters) …

Lost Before Forgetting: Objective Driving Metrics Track Navigation Deficits Tied To Preclinical Alzheimer's Disease, Yiqi Zhu, Ramkrishna K Singh, Semere Bekena, David C Brown, Chen Chen, Matthew Blake, Jean-François Trani, Ganesh M Babulal

2020-Current year OA Pubs

BACKGROUND AND OBJECTIVES: Navigation is a complex, multisensory process in which subtle changes may emerge before the onset of symptomatic Alzheimer's disease (AD). This study investigated whether navigation abilities were associated with amyloid and tau pathology in cognitively normal older adults.

RESEARCH DESIGN AND METHODS: Among 285 cognitively unimpaired older adults, navigation and objective driving behaviors were assessed using the self-reported Santa Barbara Sense of Direction Scale (SBSOD) and a datalogger, respectively. Amyloid and tau burden were quantified using PET-MRI 2 years post-initial driving data collection. Linear mixed-effects models were used to evaluate the associations between biomarker status and longitudinal …

Application Of Machine Learning To Blood-Based Biomarkers Of Alzheimer's Disease In Down Syndrome, Patrick H Luckett, Melissa Petersen, Sid O'Bryant, Mark Mapstone, Brad T Christian, Benjamin Handen, Elizabeth Head, Beau M Ances, Alzheimer's Biomarker Consortium‐Down Syndrome

2020-Current year OA Pubs

INTRODUCTION: Blood-based biomarkers can improve Alzheimer's disease (AD) characterization in Down syndrome (DS). This study applied hierarchical clustering and machine learning-based feature selection to identify biomarkers associated with disease progression.

METHODS: Cross-sectional blood-based biomarkers were analyzed from 211 DS participants (

RESULTS: The strongest predictors overall were neurofilament light chain (NfL), tau/amyloid beta (Aβ)40, Aβ42/Aβ40, alpha-2-macroglobulin (A2M), and interleukin (IL)-10. Within the CS group, NfL, tau/Aβ40, A2M, and IL-10 were strong predictors. In MCI, Aβ42/Aβ40, NfL, A2M, and IL-10 were strong predictors. In DS-AD, Aβ42/Aβ40, NfL, and tau/Aβ40 were the top predictors. Cluster membership varied based on disease stage.

DISCUSSION: …

Biological Aging Acceleration In Major Depressive Disorder: A Multi-Omics Analysis, Breno Satler Diniz, Shangshu Zhao, Gabin Drouard, Eero Vuoksimaa, Miina Ollikainen, Eric J Lenze, Ming Xu, Richard H Fortinsky, George A Kuchel, Jaakko Kaprio, Chia-Ling Kuo

2020-Current year OA Pubs

Major depressive disorder (MDD) is linked to a higher risk of premature aging, but the mechanisms underlying this association remain unclear. Using data from two population cohorts (UK Biobank and Finnish Twin Cohort), we evaluate the relationship between systemic and organ-specific proteomic and epigenetic aging acceleration and MDD. A lifetime history of MDD was associated with accelerated proteomic aging at both systemic and organ-specific levels-including the brain-in both cohorts, with stronger associations than those observed with systemic epigenetic aging. Systemic and brain-specific proteomic aging acceleration were linked to higher risks of incident MDD and a greater risk of Alzheimer's disease, …

Editorial: New Insights On Vascular And Metabolic Diabetic Complications, Hua Mao, John D Imig, Ricardo Espinosa-Tanguma

Faculty, Staff and Students Publications

No abstract provided.

Definitions Of Arginine Availability: A Critical Metabolic Marker Of Physiological Processes, Mustafa Tosur, Farook Jahoor, Ashok Balasubramanyam

Faculty, Staff and Students Publications

No abstract provided.

Immune-Mediated Diarrhea And Colitis With Normal Biochemical, Endoscopic And Histologic Findings: A Retrospective Study, Malek Shatila, Sharada Wali, Carolina Colli Cruz, Kei Takigawa, Andres Caleb Urias Rivera, Kian Abdul-Baki, Tanvi Gupta, Elliot Baerman, Linfeng Lu, Irene Jeong-Ah Lee, Raakhi Menon, Hamza Salim, Andrew Sullivan, Varun Vemulapalli, Cristina Natha, Ayesha Khan, Krishnavathana Varatharajalu, Stephane Champiat, Kerry L Reynolds, Lucy B Kennedy, Katy Tsai, Anusha Shirwaiker Thomas, Yinghong Wang

Faculty, Staff and Students Publications

Background: Immune-mediated diarrhea and colitis (IMDC) due to checkpoint inhibition infrequently presents with normal stool biomarkers and no endoscopic or histologic evidence of inflammation. Little is known about the treatment needs and outcomes of this subset of patients. We aimed to describe this entity and clarify the role of immunosuppressive treatments in its management.

Method: This was a single-center, retrospective study of patients treated with immune checkpoint inhibitors who developed clinical symptoms of IMDC, with no evidence of inflammation based on fecal calprotectin or endoscopic/histologic evaluation, between January 2010 and February 2024.

Results: Of 1151 patients with IMDC, 131 (11.4%) …

Interdisciplinary Swiss Consensus Recommendations For Follow-Up After Radical Cystectomy And Trimodal Treatment For Muscle-Invasive Bladder Cancer, Ernest Kaufmann, Stefanie Aeppli, Andres Affentranger, Nicolas Arnold, Winfried Arnold, Fabian Aschwanden, Panagiotis Balermpas, Jörg Beyer, Uwe Bieri, Joost Boormanns, Richard Cathomas, Berardino De Bari, Marco Dressler, Daniel S Engeler, Andreas Erdmann, Andrea Gallina, Silvia Gomez, Matthias Guckenberger, Thomas Herrmann, Thomas Hermanns, Ilaria Lucca, Hubert John, Thomas Matthias Kessler, Jan Klein, Mohamed Laouiti, David Lauffer, Seth Paul Lerner, Agostino Mattei, Michael Müntener, Daniel Nguyen, Philipp Niederberger, Alexandros Papachristofilou, Lukas Prause, Paul Martin Putora, Karsten Reinhardt, Emanuela Salati, Philippe Sèbe, Mohamed Shelan, Silvan Sigg, Räto Thomas Strebel, Arnoud Jan Templeton, Ursula Vogl, Marian Severin Wettstein, Stephen Wyler, Deborah Zihler, Thomas Zilli, Daniel Zwahlen, Beat Roth, Christian Daniel Fankhauser

Faculty, Staff and Students Publications

Introduction: Radical cystectomy or trimodal therapy are treatment options for non-metastatic bladder cancer. However, there is limited evidence guiding post-treatment follow-up regimens, resulting in variations in care.

Objective: A Swiss consensus meeting aimed to identify gaps in follow-up strategies and subsequently tailoring follow-up protocols after curative treatment for bladder cancer.

Methods: A consensus meeting including participants from urology, oncology, radiation oncology, neuro-urology, international advisors, and patient representatives was held. 19 pre-formulated questions addressing follow-up duration, frequency, and modalities after radical cystectomy or trimodal therapy for bladder cancer were discussed and voted by participants.

Results: 42 experts from 22 institutions participated …