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Economic mechanisms administer the allocation of resources to interested agents based on their self-reported types. One objective in mechanism design is to design a strategyproof process so that no agent will have an incentive to misreport…

Computer Science and Game Theory · Computer Science 2014-09-19 Panos Toulis , David C. Parkes

The goal of a kidney exchange program (KEP) is to maximize number of transplants within a pool of incompatible patient-donor pairs by exchanging donors. A KEP can be modelled as a maximum matching problem in a graph. A KEP between…

Computer Science and Game Theory · Computer Science 2023-04-25 Margarida Carvalho , Andrea Lodi

We introduce a framework to measure how biases change before and after fine-tuning a large scale visual recognition model for a downstream task. Deep learning models trained on increasing amounts of data are known to encode societal biases.…

Computer Vision and Pattern Recognition · Computer Science 2023-03-15 Jaspreet Ranjit , Tianlu Wang , Baishakhi Ray , Vicente Ordonez

Chronic Kidney Disease (CKD) is one of the widespread Chronic diseases with no known ultimo cure and high morbidity. Research demonstrates that progressive Chronic Kidney Disease (CKD) is a heterogeneous disorder that significantly impacts…

Machine Learning · Computer Science 2025-01-28 K M Tawsik Jawad , Anusha Verma , Fathi Amsaad , Lamia Ashraf

Kidney transplantation can significantly enhance living standards for people suffering from end-stage renal disease. A significant factor that affects graft survival time (the time until the transplant fails and the patient requires another…

Machine Learning · Computer Science 2022-07-07 Mohammadreza Nemati , Haonan Zhang , Michael Sloma , Dulat Bekbolsynov , Hong Wang , Stanislaw Stepkowski , Kevin S. Xu

With Polycystic Kidney Disease (PKD) potentially leading to fatal complications in patients due to the formation of cysts in kidneys, early detection of PKD is crucial for effective management of the condition. However, the various…

Machine Learning · Computer Science 2023-09-26 Kapil Panda , Anirudh Mazumder

We investigate the use of self-tracking data and unsupervised mixed-membership models to phenotype endometriosis. Endometriosis is a systemic, chronic condition of women in reproductive age and, at the same time, a highly enigmatic…

Computers and Society · Computer Science 2018-11-09 Iñigo Urteaga , Mollie McKillop , Sharon Lipsky-Gorman , Noémie Elhadad

Physiological whole-body models are valuable tools for the development of novel drugs where understanding the system aspects is important. This paper presents a generalized model that encapsulates the structure and flow of whole-body human…

Quantitative Methods · Quantitative Biology 2024-04-23 Laura Hjort Blicher , Peter Emil Carstensen , Jacob Bendsen , Henrik Linden , Bjørn Hald , Kim Kristensen , John Bagterp Jørgensen

Kidney stones are a common and debilitating health issue, and genetic factors play a crucial role in determining susceptibility. While Genome-Wide Association Studies (GWAS) have identified numerous single nucleotide polymorphisms (SNPs)…

Genomics · Quantitative Biology 2024-12-24 Amr Salem , Anirban Mondal

Biomedical data, particularly in the field of genomics, has characteristics which make it challenging for machine learning applications - it can be sparse, high dimensional and noisy. Biomedical applications also present challenges to model…

The liver performs critical physiological functions, including metabolizing and removing substances, such as toxins and drugs, from the bloodstream. Hepatotoxicity itself is intimately linked to abnormal hepatic transport and hepatotoxicity…

Biological Physics · Physics 2019-08-29 Meysam Tavakoli , Konstantinos Tsekouras , Richard Day , Kenneth W. Dunn , Steve Presse

Genetic Regulatory Networks (GRNs) plays a vital role in the understanding of complex biological processes. Modeling GRNs is significantly important in order to reveal fundamental cellular processes, examine gene functions and understanding…

Computational Engineering, Finance, and Science · Computer Science 2012-05-10 Khalid Raza , Rafat Parveen

Automatic segmentation of knee bony anatomy is essential in orthopedics, and it has been around for several years in both pre-operative and post-operative settings. While deep learning algorithms have demonstrated exceptional performance in…

The integration of large language models (LLMs) into healthcare holds promise to enhance clinical decision-making, yet their susceptibility to biases remains a critical concern. Gender has long influenced physician behaviors and patient…

Proteins are the fundamental macromolecules that play diverse and crucial roles in all living matter and have tremendous implications in healthcare, manufacturing, and biotechnology. Their functions are largely determined by the sequences…

Biomolecules · Quantitative Biology 2024-09-17 Boqiao Lai

The shortage of nephrologists and the growing public health concern over renal failure have spurred the demand for AI systems capable of autonomously detecting kidney abnormalities. Renal failure, marked by a gradual decline in kidney…

Computer Vision and Pattern Recognition · Computer Science 2024-04-26 Tahmim Hossain , Faisal Sayed , Solehin Islam

A kidney exchange is an organized barter market where patients in need of a kidney swap willing but incompatible donors. Determining an optimal set of exchanges is theoretically and empirically hard. Traditionally, exchanges took place in…

Data Structures and Algorithms · Computer Science 2016-06-14 John P. Dickerson , David F. Manlove , Benjamin Plaut , Tuomas Sandholm , James Trimble

Most animals have separate sexes. The differential expression of gene products, in particular that of gene regulators, is underlying sexual dimorphism. Analyses of sex-biased expression have focused mostly in protein coding genes. Several…

Populations and Evolution · Quantitative Biology 2014-04-03 Antonio Marco

Kinematic variables have been playing an important role in collider phenomenology, as they expedite discoveries of new particles by separating signal events from unwanted background events and allow for measurements of particle properties…

High Energy Physics - Phenomenology · Physics 2022-06-28 Roberto Franceschini , Doojin Kim , Kyoungchul Kong , Konstantin T. Matchev , Myeonghun Park , Prasanth Shyamsundar

Application of machine learning techniques enables segmentation of functional tissue units in histology whole-slide images (WSIs). We built a pipeline to apply previously validated segmentation models of kidney structures and extract…

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