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The acute respiratory distress syndrome (ARDS) is a severe form of hypoxemic respiratory failure with in-hospital mortality of 35-46%. High mortality is thought to be related in part to challenges in making a prompt diagnosis, which may in…

Machine Learning · Computer Science 2021-09-28 Gregory B. Rehm , Chao Wang , Irene Cortes-Puch , Chen-Nee Chuah , Jason Adams

Extracellular recordings of single neurons in primary and secondary somatosensory cortices of monkeys in vivo have shown that their firing rate can increase, decrease, or remain constant in different cells, as the external stimulus…

Neurons and Cognition · Quantitative Biology 2012-03-06 Jing Kang , Hugh P. C. Robinson , Jianfeng Feng

Accurate identification of emphysema subtypes and severity is crucial for effective management of COPD and the study of disease heterogeneity. Manual analysis of emphysema subtypes and severity is laborious and subjective. To address this…

Image and Video Processing · Electrical Eng. & Systems 2023-09-07 Weiyi Xie , Colin Jacobs , Jean-Paul Charbonnier , Dirk Jan Slebos , Bram van Ginneken

Optically active quantum dot molecules (QDMs) can host multi-spin quantum states with the potential for the deterministic generation of photonic graph states with tailored entanglement structures. Their usefulness for the generation of such…

Lymph node metastasis (LNM) is a significant prognostic factor in patients with head and neck cancer, and the ability to predict it accurately is essential for treatment optimization. PET and CT imaging are routinely used for LNM…

There has been considerable interest in leveraging RL and stochastic control methods to learn optimal treatment strategies for critically ill patients, directly from observational data. However, there is significant ambiguity on the control…

Machine Learning · Computer Science 2022-07-21 Thesath Nanayakkara

Peripheral Nerve Stimulation (PNS) constrains the clinical performance of Magnetic Resonance and Particle Imaging (MRI and MPI) systems. Extensive magneto-stimulation studies have been carried out recently in the field of MPI, where typical…

Chronic Kidney Disease (CKD) is a major global health issue which is affecting million people around the world and with increasing rate of mortality. Mitigation of progression of CKD and better patient outcomes requires early detection.…

Artificial Intelligence · Computer Science 2025-04-08 Md. Ehsanul Haque , S. M. Jahidul Islam , Jeba Maliha , Md. Shakhauat Hossan Sumon , Rumana Sharmin , Sakib Rokoni

Acute lymphoblastic leukemia is the most common malignancy in childhood. Successful treatment requires initial high-intensity chemotherapy, followed by low-intensity oral maintenance therapy with oral 6-mercaptopurine (6MP) and methotrexate…

Quantitative Methods · Quantitative Biology 2020-01-06 Felix Jost , Jakob Zierk , Thuy T. T. Le , Thomas Raupach , Manfred Rauh , Meinolf Suttorp , Martin Stanulla , Markus Metzler , Sebastian Sager

Kidney transplantation is the preferred treatment for people suffering from end-stage renal disease. Successful kidney transplants still fail over time, known as graft failure; however, the time to graft failure, or graft survival time, can…

Machine Learning · Computer Science 2022-11-07 Zhipeng Huang , Kevin S. Xu

The induction of late long-term potentiation (L-LTP) involves complex interactions among second messenger cascades. To gain insights into these interactions, a mathematical model was developed for L-LTP induction in the CA1 region of the…

Neurons and Cognition · Quantitative Biology 2009-11-13 Paul Smolen , Douglas A. Baxter , John H. Byrne

Atypical Parkinsonian Disorders (APD), also known as Parkinson-plus syndrome, are a group of neurodegenerative diseases that include progressive supranuclear palsy (PSP) and multiple system atrophy (MSA). In the early stages, overlapping…

Computer Vision and Pattern Recognition · Computer Science 2026-04-16 Mengyu Li , Ingibjörg Kristjánsdóttir , Thilo van Eimeren , Kathrin Giehl , Lotta M. Ellingsen , the ASAP Neuroimaging Initiative

This work presents a comprehensive theory of consciousness grounded in mathematical formalism and supported by clinical data analysis. The framework developed herein demonstrates that consciousness exists as a continuous, non-monotonic…

Neurons and Cognition · Quantitative Biology 2025-07-04 Diogo Sousa

The dynamics of the autonomic nervous system, a prime factor for variation of heart rate is modulated by lifestyle factors like meditation and breathing exercises. The effect of meditation (dhyana)practiced by disciples of Ramakrishna…

Medical Physics · Physics 2021-07-20 Sobhendu Kumar Ghatak

Incompatibility between patient and donor is a major barrier in kidney transplantation (KT). The increasing shortage of kidney donors has driven the development of desensitization techniques to overcome this immunological challenge.…

Systems and Control · Electrical Eng. & Systems 2025-04-29 Xingyu Ren , Michael C. Fu , Steven I. Marcus

This study explores the potential of utilizing administrative claims data, combined with advanced machine learning and deep learning techniques, to predict the progression of Chronic Kidney Disease (CKD) to End-Stage Renal Disease (ESRD).…

Machine Learning · Computer Science 2024-10-28 Yubo Li , Saba Al-Sayouri , Rema Padman

Currently, approximately 30% of epileptic patients treated with antiepileptic drugs (AEDs) remain resistant to treatment (known as refractory patients). This project seeks to understand the underlying similarities in refractory patients vs.…

Machine Learning · Computer Science 2017-04-28 David Von Dollen

Neural activity in the brain of parkinsonian patients is characterized by the intermittently synchronized oscillatory dynamics. This imperfect synchronization, observed in the beta frequency band, is believed to be related to the…

Neurons and Cognition · Quantitative Biology 2013-02-11 Choongseok Park , Leonid Rubchinsky

Objective: To construct an analytical model instead of local effect modeling for the prediction of the biological effectiveness of nanoparticle radiosensitization. Approach: An extended local effects model is first proposed with a more…

Agitation is one of the neuropsychiatric symptoms with high prevalence in dementia which can negatively impact the Activities of Daily Living (ADL) and the independence of individuals. Detecting agitation episodes can assist in providing…