Eosinophilic oesophagitis: an otolaryngologist's perspective

Gnanasekaran, T.; Gnanasekaran, Senthil; Jm, Wood; Friedland, Peter

doi:10.12968/hmed.2017.78.6.338

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…All of the reinforcement learning techniques they used in this project were built using the code for the Pacman game emulator. They apply various Deep Reinforcement learning methods to the traditional game Pacman [7].…”

Section: Pacman In Deep Reinforcement Learning (Q-learning)mentioning

confidence: 99%

A Deep Reinforcement Learning Agent for Snake Game

Hossain,

Fakokunde,

Olaolu

2023

International Journal of Artificial Intelligence

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After watching AlphaGo a Netflix documentary which presents how AlphaGo is an AI computer game developed by deep-mind technologies based on deep reinforcement learning (DRL). Since then, my interest in reinforcement learning has been growing. In this project, I will apply reinforcement learning to develop an agent to play snake game. Where Deep learning will implement a neural Network to help the agent (snake) to learn what action must take to get a state. If we describe deep reinforcement learning (DRL) model where agent interacts with an environment and chooses an action. Based on action, agents receive feedback from the environment as states (or perceives) and rewards. A state = an array with 11 input values, each input values represent a neural network that provides an output of 3 values, each one represents three possible actions the agent (snake) can take (Straight, Right Turn and Left Turn).

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Section: Pacman In Deep Reinforcement Learning (Q-learning)mentioning

confidence: 99%

A Deep Reinforcement Learning Agent for Snake Game

Hossain,

Fakokunde,

Olaolu

2023

International Journal of Artificial Intelligence

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Eosinophilic diseases in otorhinolaryngological practice – what is worth to know about new treatment options

Arcimowicz

2023

Pol Otorhino Rev

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An increased number of eosinophils and eosinophilic inflammation is associated with many diseases, from relatively common, specific to the respiratory tract, such as eosinophilic asthma or chronic rhinosinusitis with nasal polyps (CRSwNP), to rare multi-organ diseases, often with very high eosinophilia, such as eosinophilic granulomatosis with polyangiitis (EGPA) or hypereosinophilic syndrome (HES). Eosinophilic esophagitis (EoE) is also a disease that is difficult to diagnose and differentiate. Patients with multisystem diseases are at significant risk of disease progression and even mortality due to delayed diagnosis or inadequate treatment. In otorhinolaryngological practice, we most often observe increased eosinophilia in patients with a long-term history of difficult-to-control chronic rhinosinusitis with polyps, often with comorbid asthma or hypersensitivity to NSAIDs. Very often, the initial phase of EGPA, many years before the correct diagnosis is made, presents with chronic symptoms of inflammation in the upper and lower respiratory tract. Therefore, it is necessary to carefully analyze the symptoms and expand the diagnostics in patients with increased eosinophilia, although in some cases the differential diagnosis may remain difficult due to overlapping symptoms. It is worth noting that treatment options and response to therapy may vary among individual eosinophilic disorders. Many patients, especially those with HES and EGPA, require oral glucocorticoids for chronic therapy. Cytotoxic or immunomodulatory medications may be needed in cases with severe disease. New biological therapies, such as those targeting interleukin-5 or its receptor, or IL4/IL13 have shown great promise in inflammation control, exacerbations and relapses in patients with asthma, CRSwNP, HES, EGPA and EoE. Such therapies may reduce the side effects associated with long-term use of oral glucocorticosteroids or immunosuppressive drugs, and in patients with CRSwNP they may significantly reduce disease recurrences and the need for subsequent surgery, significantly improving the patients’ quality of life.

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Eosinophilic oesophagitis: an otolaryngologist's perspective

Cited by 2 publications

References 10 publications

A Deep Reinforcement Learning Agent for Snake Game

A Deep Reinforcement Learning Agent for Snake Game

Eosinophilic diseases in otorhinolaryngological practice – what is worth to know about new treatment options

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