A5011859868- Cancer survivorship and care
- Cancer-related cognitive impairment studies
- Palliative Care and End-of-Life Issues
- Meteorological Phenomena and Simulations
- Cancer Treatment and Pharmacology
- Species Distribution and Climate Change
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Fire effects on ecosystems
- Remote Sensing in Agriculture
- Primary Care and Health Outcomes
- Dialysis and Renal Disease Management
- Remote-Sensing Image Classification
- AI in cancer detection
- Management of metastatic bone disease
- Tropical and Extratropical Cyclones Research
- Flood Risk Assessment and Management
- Inertial Sensor and Navigation
- Health Literacy and Information Accessibility
- Advances in Oncology and Radiotherapy
- Data-Driven Disease Surveillance
- Healthcare cost, quality, practices
- Aerospace and Aviation Technology
- Forest Biomass Utilization and Management
- Blood Pressure and Hypertension Studies
McGill University Health Centre
2018-2025
St George’s University Hospitals NHS Foundation Trust
2024-2025
Universitat de València
2023-2025
Parc Científic de la Universitat de València
2023
European Space Research Institute
2021
U.S. Air Force Institute of Technology
2021
McGill University
2018
The terrestrial biosphere plays a crucial role in Earth's climate system, influencing energy, water, and carbon cycles, while supporting biodiversity ecosystem services essential for human sustainability. Predicting how ecosystems will respond to change their feedback effects remains significant challenge [1]. One major difficulty arises from the complexity of systems involved, with non-linear processes interactions occurring across varying timescales. Vegetative systems, particularly...
Hospital admissions to treat fluid overload are common in patients with both heart failure and chronic kidney disease (CKD-HF). This is a population high levels of frailty. Recurrent hospital costly healthcare systems. We designed proof-of-concept, multidisciplinary quality improvement project deliver at-home subcutaneous furosemide CKD-HF. involved collaboration between hospital, community remote monitoring hub hospital-at-home team, including general practitioners, secondary care...
Abstract. The spectral signatures of vegetation are indicative ecosystem states and health. Spectral indices used to monitor characterized by long-term trends, seasonal fluctuations, responses weather anomalies. This study investigates the potential neural networks in learning predicting response, including extreme behavior from meteorological data. While machine methods, particularly networks, have significantly advanced modeling nonlinear dynamics, it has become standard practice approach...
Abstract. Vegetation state variables are key indicators of land-atmosphere interactions characterized by long-term trends, seasonal fluctuations, and responses to weather anomalies. This study investigates the potential neural networks in capturing vegetation responses, including extreme behavior driven atmospheric conditions. While machine learning methods, particularly networks, have significantly advanced modeling nonlinear dynamics, it has become standard practice approach problem using...
Abstract Purpose Radiotherapy patients often face undue anxiety due to misconceptions about radiation and their inability visualize upcoming treatments. Access personal treatment plans is one way in which pre‐treatment may be reduced. But radiotherapy data are quite complex, requiring specialized software for display necessitating personalized explanations understand them. Therefore, our goal was design implement a novel menu patient portal improve access understanding of plans. Methods A...
One of the UK government's policy initiatives when taking office in 1997 concerned international development. This highlighted an intention to expand partnerships between institutions and poorer countries; specifically “to work closely with other donors development agencies build developing countries”.1 The prime goal was eliminate poverty encourage economic growth that benefits poor. Since children are a group most vulnerable poverty, specific support efforts “enhance children's well-being...
Understanding Earth's terrestrial biosphere dynamics is vital for comprehending our planet's environmental health and sustainability. Recently, the frequency intensity of extreme climate events have risen, significantly impacting biosphere. Given advancements recurrent neural networks in modeling complex, nonlinear dynamics, we explore capability network models to model predict impacts on dynamics. In this work, compare four different architectures, each with distinct features: 1) Recurrent...
Persistence is a crucial trait of many complex Earth systems. Although connecting this statistical concept to ecosystem physical properties challenging, it reflects how long the system remains at certain state before changing [1]. Characterising persistence in terrestrial biosphere important understanding intrinsic properties, including legacy effects extreme climate events [2]. Such memory are often highly non-linear and, therefore, challenging detect observational records and poorly...
Hospital admissions due to heart failure (HF) are common, even more so in patients who also have chronic kidney disease (CKD). These often require intravenous diuretics treat fluid accumulation. Patients with concomitant HF and CKD (HF-CKD) a high risk of morbidity mortality despite diuresis. Hospitalisation is not without its own risks including hospitalacquired infections, reduced quality life malnutrition. This service improvement project explored the utility home delivered subcutaneous...
In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system sciences. Here, AI improved weather forecasting, model emulation, parameter estimation, and the prediction of extreme events. However, latter comes with specific challenges, such as developing accurate predictors from noisy, heterogeneous limited annotated data. This paper reviews how is being used to analyze events (like floods, droughts, wildfires heatwaves), highlighting importance...
20 Background: Nearly 50% of cancer survivors (CS) experience psychosocial and physical treatment-related effects. CS are often afflicted with greater medical conditions than non-cancer patients: survivorship care is thus imperative. In addition to follow-up by specialists, 75% also visit their primary provider (PCP) during after treatments. Despite role in survivorship, insufficient knowledge low confidence have been reported PCPs, supporting the need educate them. This study aimed evaluate...
22 Background: In North America, increasing evidence supports including patients’ in managing their own health as a strategy to improve health-related outcomes. Moreover, publications have emphasized the merit of supportive interventions during survivorship phase, given association with improvements overall quality life. Breast cancer survivors (BCS) are integral stakeholders health, and ensuring educational needs met may positively influence them become actively involved care. This study’s...
Understanding deforestation drivers is important for climate change mitigation, forest management and effective control measures. Charcoal production thought to be one of the main degradation in many Sub-Saharan Africa (SSA) regions. Due difficulty detect it, industry impact highly uncertain. In this paper we explore means improve understanding due charcoal SSA by leveraging capacity large area systematic observation Copernicus Sentinel-1 Sentinel-2 satellites. We utilise SAR (Synthetic...
A novel Doppler LiDAR sensor has been developed with the help of NASA technology transfer. This can make highly accurate, three-dimensional velocity measurements in body frame a vehicle. However, practicability such an IMU-mechanized navigation solution is unknown. covariance analysis be run simulation flight across multiple trajectories as well different IMU grades to understand sensors accuracy and contribution system. With full simulated this sensor, it much easier for researchers others...
Persistence is an important characteristic of many complex systems in nature and the Earth system particular. Relating this statistical concept to physical properties ecosystems rather elusive, but reflects how long remains at a certain state before changing different one measured via memory dependence values on past states [1]. Characterizing persistence terrestrial biosphere very relevant understand intrinsic such as legacy effects extreme climate events [2]. Such are often highly...
The automatic anticipation and detection of extreme events constitute a major challenge in the current context climate change, which has changed their likelihood intensity. One main objectives within EXtreme Events: Artificial Intelligence for Detection Attribution (XAIDA) project (https://xaida.eu/) is related to developing novel approaches localization events, such as tropical cyclones severe convective storms, heat waves droughts, well persistent winter extremes, among others. Here we...