2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2025★ 1 cited
Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback
Harry Emerson, Sam Gordon James, Matthew Guy +1
Reinforcement learning (RL) has demonstrated success in automating insulin dosing in simulated type 1 diabetes (T1D) patients but is currently unable to incorporate patient experti…
cs.LG2023
The Safety Challenges of Deep Learning in Real-World Type 1 Diabetes Management
Harry Emerson, Ryan McConville, Matthew Guy
Blood glucose simulation allows the effectiveness of type 1 diabetes (T1D) management strategies to be evaluated without patient harm. Deep learning algorithms provide a promising…
cs.LG2022★ 2 cited
Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes
Harry Emerson, Matthew Guy, Ryan McConville
The widespread adoption of effective hybrid closed loop systems would represent an important milestone of care for people living with type 1 diabetes (T1D). These devices typically…