User profiles for Paolo Di Achille
 | Paolo Di AchilleGoogle Verified email at google.com Cited by 1675 |
Biochemomechanics of intraluminal thrombus in abdominal aortic aneurysms
Most computational models of abdominal aortic aneurysms address either the hemodynamics
within the lesion or the mechanics of the wall. More recently, however, some models have …
within the lesion or the mechanics of the wall. More recently, however, some models have …
ECG-based deep learning and clinical risk factors to predict atrial fibrillation
Background: Artificial intelligence (AI)–enabled analysis of 12-lead ECGs may facilitate
efficient estimation of incident atrial fibrillation (AF) risk. However, it remains unclear whether AI …
efficient estimation of incident atrial fibrillation (AF) risk. However, it remains unclear whether AI …
[HTML][HTML] Cohort design and natural language processing to reduce bias in electronic health records research
Electronic health record (EHR) datasets are statistically powerful but are subject to ascertainment
bias and missingness. Using the Mass General Brigham multi-institutional EHR, we …
bias and missingness. Using the Mass General Brigham multi-institutional EHR, we …
Large language models are few-shot health learners
Large language models (LLMs) can capture rich representations of concepts that are useful
for real-world tasks. However, language alone is limited. While existing LLMs excel at text-…
for real-world tasks. However, language alone is limited. While existing LLMs excel at text-…
[HTML][HTML] CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation
…, PAJ Van Bakel, J Mynard, P Di Achille… - PLoS computational …, 2021 - journals.plos.org
In this work, we describe the CRIMSON (CardiovasculaR Integrated Modelling and
SimulatiON) software environment. CRIMSON provides a powerful, customizable and user-friendly …
SimulatiON) software environment. CRIMSON provides a powerful, customizable and user-friendly …
Novel methodology for characterizing regional variations in the material properties of murine aortas
Many vascular disorders, including aortic aneurysms and dissections, are characterized by
localized changes in wall composition and structure. Notwithstanding the importance of …
localized changes in wall composition and structure. Notwithstanding the importance of …
Genetic analysis of right heart structure and function in 40,000 people
Congenital heart diseases often involve maldevelopment of the evolutionarily recent right
heart chamber. To gain insight into right heart structure and function, we fine-tuned deep …
heart chamber. To gain insight into right heart structure and function, we fine-tuned deep …
[HTML][HTML] Combining in vivo and in vitro biomechanical data reveals key roles of perivascular tethering in central artery function
Considerable insight into effectors of cardiovascular function can be gleaned from controlled
studies on mice, especially given the diverse models that are available. Toward this end, …
studies on mice, especially given the diverse models that are available. Toward this end, …
Spatially distinct genetic determinants of aortic dimensions influence risks of aneurysm and stenosis
Background The left ventricular outflow tract (LVOT) and ascending aorta are spatially complex,
with distinct pathologies and embryologic origins. Prior work examined the genetics of …
with distinct pathologies and embryologic origins. Prior work examined the genetics of …
Deep learning to predict cardiac magnetic resonance–derived left ventricular mass and hypertrophy from 12-lead ECGs
Background: Classical methods for detecting left ventricular (LV) hypertrophy (LVH) using 12-lead
ECGs are insensitive. Deep learning models using ECG to infer cardiac magnetic …
ECGs are insensitive. Deep learning models using ECG to infer cardiac magnetic …