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The biggest Breast cancer is increasingly a major factor in female fatalities, overtaking heart disease. While genetic factors are important in the growth of breast cancer, new research indicates that environmental factors also play a…

机器学习 · 计算机科学 2023-09-27 Muhammad Shoaib Farooq , Mehreen Ilyas

Multiple Sclerosis (MS) is a chronic, inflammatory and degenerative neurological disease, which is monitored by a specialist using the Expanded Disability Status Scale (EDSS) and recorded in unstructured text in the form of a neurology…

Brain metastases affect approximately between 20% and 40% of cancer patients and are commonly treated with radiotherapy or radiosurgery. Early prediction of recurrence following treatment could enable timely clinical intervention and…

图像与视频处理 · 电气工程与系统科学 2025-12-18 Ines Faria , Matheus Silva , Crystian Saraiva , Jose Soares , Victor Alves

Humans are routinely exposed to mixtures of chemical and other environmental factors, making the quantification of health effects associated with environmental mixtures a critical goal for establishing environmental policy sufficiently…

The analysis of environmental mixtures is of growing importance in environmental epidemiology, and one of the key goals in such analyses is to identify exposures and their interactions that are associated with adverse health outcomes.…

统计方法学 · 统计学 2021-03-22 Srijata Samanta , Joseph Antonelli

Air pollution (AP) poses a great threat to human health, and people are paying more attention than ever to its prediction. Accurate prediction of AP helps people to plan for their outdoor activities and aids protecting human health. In this…

机器学习 · 计算机科学 2025-02-05 Iat Hang Fong , Tengyue Li , Simon Fong , Raymond K. Wong , Antonio J. Tallón-Ballesteros

Environmental epidemiologists are increasingly interested in establishing causality between exposures and health outcomes. A popular model for causal inference is the Rubin Causal Model (RCM), which typically seeks to estimate the average…

应用统计 · 统计学 2021-01-26 Keith W. Zirkle , Marie-Abele Bind , Jenise L. Swall , David C. Wheeler

Multiple Sclerosis (MS) is a chronic disease characterized by progressive or alternate impairment of neurological functions (motor, sensory, visual, and cognitive). Predicting disease progression with a probabilistic and time-dependent…

Treatment effects vary across different patients and estimation of this variability is important for clinical decisions. The aim is to develop a model to estimate the benefit of alternative treatment options for individual patients. Hence,…

Stroke is the second most frequent cause of death world wide with an annual mortality of around 5.5 million. Recurrence rates of stroke are between 5 and 25% in the first year. As mortality rates for relapses are extraordinarily high (40%)…

Evaluating the causal health effects of multivariate, continuous exposures, such as air pollution mixtures, is a critical public health challenge. A primary obstacle is the frequent violation of the positivity assumption, which renders the…

统计方法学 · 统计学 2026-05-05 Zhuochao Huang , Kejin Dong , Tuo Lin , Joseph Antonelli

Multiple Sclerosis (MS) is a chronic autoimmune disease of the central nervous system whose molecular mechanisms remain incompletely understood. In this study, we developed an end-to-end machine learning pipeline to analyze transcriptomic…

Multiple sclerosis is an inflammatory autoimmune demyelinating disease that is characterized by lesions in the central nervous system. Typically, magnetic resonance imaging (MRI) is used for tracking disease progression. Automatic image…

图像与视频处理 · 电气工程与系统科学 2020-08-06 Nils Gessert , Julia Krüger , Roland Opfer , Ann-Christin Ostwaldt , Praveena Manogaran , Hagen H. Kitzler , Sven Schippling , Alexander Schlaefer

More than 60% of individuals recovering from substance use disorder relapse within one year. Some will resume drug consumption even after decades of abstinence. The cognitive and psychological mechanisms that lead to relapse are not…

定量方法 · 定量生物学 2026-05-12 Sayun Mao , Tom Chou , Maria D'Orsogna

Multiple Sclerosis (MS) is a chronic progressive neurological disease characterized by the development of lesions in the white matter of the brain. T2-fluid-attenuated inversion recovery (FLAIR) brain magnetic resonance imaging (MRI)…

图像与视频处理 · 电气工程与系统科学 2022-09-12 Jueqi Wang , Derek Berger , Erin Mazerolle , Othman Soufan , Jacob Levman

Multiple Sclerosis (MS) and microvascular leukoencephalopathy are two distinct neurological conditions, the first caused by focal autoimmune inflammation in the central nervous system, the second caused by chronic white matter damage from…

图像与视频处理 · 电气工程与系统科学 2021-01-19 Christopher Vogelsanger , Christian Federau

Multiple sclerosis (MS) is a demyelinating disease of the central nervous system (CNS). A reliable measure of the tissue myelin content is therefore essential for the understanding of the physiopathology of MS, tracking progression and…

计算机视觉与模式识别 · 计算机科学 2018-09-17 Wen Wei , Emilie Poirion , Benedetta Bodini , Stanley Durrleman , Nicholas Ayache , Bruno Stankoff , Olivier Colliot

Multiple sclerosis (MS) is a demyelinating disease that affects more than 2 million people worldwide. The most used imaging technique to help in its diagnosis and follow-up is magnetic resonance imaging (MRI). Fluid Attenuated Inversion…

计算机视觉与模式识别 · 计算机科学 2018-07-26 Paulo G. L. Freire , Ricardo J. Ferrari

In this study we investigate the Percolation Hypothesis for Multiple Sclerosis Progression. The methodology relies on cross-reference analysis centered around a question: What is the evidence for a Percolation/phase-transition hypothesis in…

无序系统与神经网络 · 物理学 2026-02-10 Nikola Mirkov , Dušan S. Radivojević , Slobodan Maletić

Marine litter poses significant threats to marine and coastal environments, with its impacts ever-growing. Remote sensing provides an advantageous supplement to traditional mitigation techniques, such as local cleaning operations and trawl…

计算机视觉与模式识别 · 计算机科学 2023-06-28 Bianca Matos de Barros , Douglas Galimberti Barbosa , Cristiano Lima Hackmann