Disease progression modeling with temporal realignment: An emerging approach to deepen knowledge on chronic diseases
H Yoshioka, R Jin, A Hisaka, H Suzuki - Pharmacology & Therapeutics, 2024 - Elsevier
The recent development of the first disease-modifying drug for Alzheimer's disease
represents a major advancement in dementia treatment. Behind this breakthrough is a …
represents a major advancement in dementia treatment. Behind this breakthrough is a …
Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning
Abstract Machine learning has been increasingly used to obtain individualized
neuroimaging signatures for disease diagnosis, prognosis, and response to treatment in …
neuroimaging signatures for disease diagnosis, prognosis, and response to treatment in …
NeuroSynth: MRI-Derived Neuroanatomical Generative Models and Associated Dataset of 18,000 Samples
Availability of large and diverse medical datasets is often challenged by privacy and data
sharing restrictions. For successful application of machine learning techniques for disease …
sharing restrictions. For successful application of machine learning techniques for disease …
Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty
The growing capabilities of AI raise questions about their trustworthiness in healthcare,
particularly due to opaque decision-making and limited data availability. This paper …
particularly due to opaque decision-making and limited data availability. This paper …
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge
In this work, we introduce Brain Latent Progression (BrLP), a novel spatiotemporal disease
progression model based on latent diffusion. BrLP is designed to predict the evolution of …
progression model based on latent diffusion. BrLP is designed to predict the evolution of …
Joint model with latent disease age: overcoming the need for reference time
J Ortholand, N Gensollen, S Durrleman… - arXiv preprint arXiv …, 2024 - arxiv.org
Introduction: Heterogeneity of the progression of neurodegenerative diseases is one of the
main challenges faced in developing effective therapies. With the increasing number of …
main challenges faced in developing effective therapies. With the increasing number of …
Identification of distinct trajectories in preclinical type 2 diabetes and their associations with outcomes
Z Huang - medRxiv, 2024 - medrxiv.org
Type 2 Diabetes Mellitus (T2DM) is increasingly prevalent and significantly impacts patients'
lives. However, the phenotypic and genetic heterogeneity of the preclinical stage of T2DM …
lives. However, the phenotypic and genetic heterogeneity of the preclinical stage of T2DM …
S-EBM: Generalising event-based modelling of disease progression for simultaneous events
Estimating the temporal evolution of biomarker abnormalities in disease informs
understanding of early disease processes and facilitates subject staging, which may …
understanding of early disease processes and facilitates subject staging, which may …
Uncovering critical transitions and molecule mechanisms in disease progressions using Gaussian graphical optimal transport
Understanding disease progression is crucial for detecting critical transitions and finding
trigger molecules, facilitating early diagnosis interventions. However, the high …
trigger molecules, facilitating early diagnosis interventions. However, the high …