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肺疾患と治療のジャーナル

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音量 9, 問題 3 (2023)

ミニレビュー

Preventive Measures and Public Health Campaigns against Bronchogenic Carcinoma

Shaffer Pappas

Bronchogenic carcinoma, more commonly known as lung cancer, is a leading cause of cancer-related deaths worldwide. Its association with smoking and exposure to harmful substances is well-established, making it a largely preventable disease. Public health campaigns play a crucial role in raising awareness and promoting preventive measures against bronchogenic carcinoma. This article explores the preventive measures and the role of public health campaigns in reducing the burden of lung cancer. Bronchogenic carcinoma, or lung cancer, remains a major public health concern, but it is largely preventable. By implementing preventive measures and conducting effective public health campaigns, we can substantially reduce the incidence and mortality associated with this disease. The fight against lung cancer involves raising awareness, promoting smoking cessation, mitigating environmental risks and providing the necessary support and resources for individuals at risk. Together, these strategies can make a significant difference in reducing the burden of bronchogenic carcinoma.

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Emerging Treatments and Research in Asthma Management

Svensen Davila

Asthma is a chronic respiratory condition that affects millions of people worldwide, causing airway inflammation and constriction, leading to difficulty in breathing. While traditional treatments have been effective for many asthma patients, emerging therapies and ongoing research are shedding new light on potential breakthroughs in asthma management. This article explores the latest advancements in asthma treatment, including biologics, precision medicine and gene therapy, as well as the promise they hold in providing more personalized and effective care for those with asthma.

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The Role of Antibiotics in Treating Pulmonary Infections

Heltshe Thorel

Pulmonary infections, including pneumonia, bronchitis and tuberculosis, pose significant health risks worldwide. Antibiotics have been a cornerstone in the management of these infections, effectively combating bacterial pathogens causing respiratory diseases. This article explores the vital role antibiotics play in the treatment of pulmonary infections, emphasizing their mechanism of action, types, appropriate use and emerging challenges. The appropriate use of antibiotics is crucial to combat antibiotic resistance and optimize patient outcomes. By understanding the role of antibiotics in pulmonary infection treatment, healthcare providers and patients can work together to address these prevalent health concerns.

ミニレビュー

Prevention and Vaccination: Protecting Against Respiratory Infections

Zambrano Lorenzi

Respiratory infections are a common and often underestimated threat to public health. These infections can range from the common cold to severe cases of pneumonia and can be caused by a variety of viruses and bacteria. The best way to protect oneself and others from respiratory infections is through prevention and vaccination. This article explores the importance of prevention measures and the role of vaccination in safeguarding against respiratory infections. We discuss key strategies for reducing the risk of respiratory infections and highlight the significance of vaccines in building immunity. By understanding the importance of these measures, individuals and communities can take proactive steps to stay healthy and reduce the burden of respiratory illnesses.

総説

Deep Transfer Learning for Detecting COVID-19, Pneumonia and Tuberculosis using CXR Images: A Review

Irad Mwendo*, Patrick Gikunda and Anthony Maina

Chest X-rays remains to be the most common imaging modality used to diagnose lung diseases. However, they necessitate the interpretation of experts (radiologists and pulmonologists), who are few. This review paper investigates the use of deep transfer learning techniques to detect COVID-19, pneumonia and tuberculosis in Chest X-Ray (CXR) images. It provides an overview of current state of the art CXR image classification techniques and discusses the challenges and opportunities in applying transfer learning to this domain. The paper provides a thorough examination of recent research studies that used deep transfer learning algorithms for COVID-19, pneumonia and tuberculosis detection, highlighting the advantages and disadvantages of these approaches. Finally, the review paper discusses future research directions in the field of deep transfer learning for CXR image classification, as well as the potential for these techniques to aid in the diagnosis and treatment of lung diseases.

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