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The allocation of scarce donor organs constitutes one of the most consequential algorithmic challenges in healthcare. While the field is rapidly transitioning from rigid, rule-based systems to machine learning and data-driven optimization,…

Machine Learning · Computer Science 2026-05-27 Ioannis Anagnostides , Itai Zilberstein , Zachary W. Sollie , Arman Kilic , Tuomas Sandholm

The renal vasculature, acting as a resource distribution network, plays an important role in both the physiology and pathophysiology of the kidney. However, no imaging techniques allow an assessment of the structure and function of the…

Computational Engineering, Finance, and Science · Computer Science 2023-05-11 Peidi Xu , Niels-Henrik Holstein-Rathlou , Stinne Byrholdt Søgaard , Carsten Gundlach , Charlotte Mehlin Sørensen , Kenny Erleben , Olga Sosnovtseva , Sune Darkner

Matching algorithms are used routinely to match donors to recipients for solid organs transplantation, for the assignment of medical residents to hospitals, record linkage in databases, scheduling jobs on machines, network switching, online…

Data Structures and Algorithms · Computer Science 2020-01-09 David García-Soriano , Francesco Bonchi

We study financial networks where banks are connected by debt contracts. We consider the operation of debt swapping when two creditor banks decide to exchange an incoming payment obligation, thus leading to a locally different network…

Risk Management · Quantitative Finance 2021-07-13 Pál András Papp , Roger Wattenhofer

Recent advances in organoid models have revolutionized the study of human kidney disease mechanisms and drug discovery by enabling scalable, cost-effective research without the need for animal sacrifice. Here, we present a kidney organoid…

Computer Vision and Pattern Recognition · Computer Science 2025-09-16 Xiaoyu Huang , Lauren M Maxson , Trang Nguyen , Cheng Jack Song , Yuankai Huo

We argue for the use of separate exchangeability as a modeling principle in Bayesian nonparametric (BNP) inference. Separate exchangeability is de facto widely applied in the Bayesian parametric case, e.g., it naturally arises in simple…

Methodology · Statistics 2025-07-29 Giovanni Rebaudo , Qiaohui Lin , Peter Mueller

Traditional algorithmic fairness notions rely on label feedback, which can only be elicited from expert critics. However, in most practical applications, several non-expert stakeholders also play a major role in the system and can have…

Human-Computer Interaction · Computer Science 2023-04-11 Mukund Telukunta , Venkata Sriram Siddhardh Nadendla

In considering a social network, there are cases where people is transferred to another place. Then the physical (direct) relations among nodes are lost by the movement. In terms of a network theory, some nodes break the present connections…

Physics and Society · Physics 2007-05-23 Norihito Toyota

We suggest the re-introduction of bartering to create a cryptocurrencyless, currencyless, and moneyless economy segment. We contend that a barter economy would benefit enterprises, individuals, governments and societies. For instance, the…

Computers and Society · Computer Science 2020-10-15 Carlos Molina-Jimenez , Hazem Danny Al Nakib , Linmao Song , Ioannis Sfyrakis , Jon Crowcroft

We consider the "coded cooperative data exchange problem" for general graphs. In this problem, given a graph G=(V,E) representing clients in a broadcast network, each of which initially hold a (not necessarily disjoint) set of information…

Information Theory · Computer Science 2012-02-10 Mira Gonen , Michael Langberg

This article investigates and evaluate a handover exchange scheme between two secondary users (SUs) moving in different directions across the handover region of neighbouring cell in a cognitive radio network. More specifically, this…

Networking and Internet Architecture · Computer Science 2017-11-08 Ebenezer Esenogho , Elie Ngomseu Mambou

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

This article represents one of the contemporary trends in the application of the latest methods of information and communication technology for medicine through an expert system helps the doctor to diagnose some chest diseases which is…

Artificial Intelligence · Computer Science 2018-02-21 Ismail Kayali

Omics data facilitate the gain of novel insights into the pathophysiology of diseases and, consequently, their diagnosis, treatment, and prevention. To that end, it is necessary to integrate omics data with other data types such as…

Chronic Kidney Disease (CKD) represents a significant global health challenge, characterized by the progressive decline in renal function, leading to the accumulation of waste products and disruptions in fluid balance within the body. Given…

In a barter exchange market, agents bring items and seek to exchange their items with one another. Agents may agree to a k-way exchange involving a cycle of k agents. A barter exchange market can be represented by a digraph where the…

Data Structures and Algorithms · Computer Science 2023-06-22 Timothy Highley , Hoang Le

Sorting is a fundamental operation of all computer systems, having been a long-standing significant research topic. Beyond the problem formulation of traditional sorting algorithms, we consider sorting problems for more abstract yet…

Machine Learning · Computer Science 2024-03-15 Jungtaek Kim , Jeongbeen Yoon , Minsu Cho

Chronic kidney disease (CKD) represents a slowly progressive disorder that can eventually require renal replacement therapy (RRT) including dialysis or renal transplantation. Early identification of patients who will require RRT (as much as…

Machine Learning · Computer Science 2022-09-07 Daniel Lopez-Martinez , Christina Chen , Ming-Jun Chen

One of the biggest challenges in medicine is to dampen the pathophysiological stress induced by an episode of ischemia. Such stress, due to various pathological or clinical situations, follows a restriction in blood and oxygen supply to…

Neurons and Cognition · Quantitative Biology 2019-08-12 Michel Tauc , Nicolas Melis , Miled Bourourou , Sébastien Giraud , Thierry Hauet , Nicolas Blondeau

Liver transplantation is a life-saving procedure for patients with end-stage liver disease. There are two main challenges in liver transplant: finding the best matching patient for a donor and ensuring transplant equity among different…

Machine Learning · Computer Science 2024-03-04 Can Li , Xiaoqian Jiang , Kai Zhang