Elaine Lau
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View article: Feasibility, tolerability, and first experience of intracystic treatment with peginterferon alfa-2a in patients with cystic craniopharyngioma
Feasibility, tolerability, and first experience of intracystic treatment with peginterferon alfa-2a in patients with cystic craniopharyngioma Open
Background Children with craniopharyngiomas (CPs) typically suffer from a life-long chronic disease. The younger the child, the more vulnerable the maturing brain is to invasive therapies such as surgery or radiotherapy. Therefore, treatme…
View article: CP-07. FEASIBILITY, TOLERABILITY AND FIRST EXPERIENCE OF INTRACYSTIC TREATMENT WITH PEGINTERFERON ALFA-2A IN PATIENTS WITH CYSTIC CRANIOPHARYNGIOMA
CP-07. FEASIBILITY, TOLERABILITY AND FIRST EXPERIENCE OF INTRACYSTIC TREATMENT WITH PEGINTERFERON ALFA-2A IN PATIENTS WITH CYSTIC CRANIOPHARYNGIOMA Open
BACKGROUND Craniopharyngiomas (CP) is a life-long chronic disease predominantly affecting young children. Consequently, the developing brain is particularly sensitive to therapies such as surgery or radiotherapy. Hence, therapies allowing …
View article: QGFN: Controllable Greediness with Action Values
QGFN: Controllable Greediness with Action Values Open
Generative Flow Networks (GFlowNets; GFNs) are a family of energy-based generative methods for combinatorial objects, capable of generating diverse and high-utility samples. However, consistently biasing GFNs towards producing high-utility…
View article: DGFN: Double Generative Flow Networks
DGFN: Double Generative Flow Networks Open
Deep learning is emerging as an effective tool in drug discovery, with potential applications in both predictive and generative models. Generative Flow Networks (GFlowNets/GFNs) are a recently introduced method recognized for the ability t…
View article: An Empirical Study of the Effectiveness of Using a Replay Buffer on Mode Discovery in GFlowNets
An Empirical Study of the Effectiveness of Using a Replay Buffer on Mode Discovery in GFlowNets Open
Reinforcement Learning (RL) algorithms aim to learn an optimal policy by iteratively sampling actions to learn how to maximize the total expected return, $R(x)$. GFlowNets are a special class of algorithms designed to generate diverse cand…
View article: Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning Open
Mechanical ventilation is a key form of life support for patients with pulmonary impairment. Healthcare workers are required to continuously adjust ventilator settings for each patient, a challenging and time consuming task. Hence, it woul…
View article: Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support
Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support Open
Building Agent Assistants that can help improve customer service support requires inputs from industry users and their customers, as well as knowledge about state-of-the-art Natural Language Processing (NLP) technology. We combine expertis…
View article: Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning Open
Mechanical ventilation is a key form of life support for patients with pulmonary impairment. Healthcare workers are required to continuously adjust ventilator settings for each patient, a challenging and time consuming task. Hence, it woul…
View article: Is Routine Therapeutic Drug Monitoring of Anti-Retroviral Agents Warranted in Children Living with HIV?
Is Routine Therapeutic Drug Monitoring of Anti-Retroviral Agents Warranted in Children Living with HIV? Open
OBJECTIVE The utility of routine therapeutic drug monitoring (TDM) in children living with HIV has not been extensively studied. The purpose of this study was to assess this strategy. METHODS This was a single-center, prospective observati…
View article: Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support
Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support Open
Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhorn, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja Kalaiselvi Bhaskar. Proceedings of the 2022 Conference on Empirical Methods in Natural Langua…
View article: Policy Gradients Incorporating the Future
Policy Gradients Incorporating the Future Open
Reasoning about the future -- understanding how decisions in the present time affect outcomes in the future -- is one of the central challenges for reinforcement learning (RL), especially in highly-stochastic or partially observable enviro…
View article: Domperidone-Associated QT Interval Prolongation in Non-oncologic Pediatric Patients: A Review of the Literature
Domperidone-Associated QT Interval Prolongation in Non-oncologic Pediatric Patients: A Review of the Literature Open
ABSTRACTBackground: Domperidone is a prokinetic agent used to treat pediatric gastroesophageal reflux disease. Health Canada has issued warnings about an increased risk of domperidone-associated ventricula…
View article: Is Routine Therapeutic Drug Monitoring of Antiretroviral Agents Warranted in Human Immunodeficiency Virus-Infected Children?
Is Routine Therapeutic Drug Monitoring of Antiretroviral Agents Warranted in Human Immunodeficiency Virus-Infected Children? Open