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Qure.AI, a leading company in artificial intelligence (AI) applied to healthcare, has developed a suite of innovative solutions to revolutionize medical diagnosis and treatment. With a plethora of FDA-approved tools for clinical use, Qure.AI continually strives for innovation in integrating AI into healthcare systems. This article delves into the efficacy of Qure.AI's chest X-ray interpretation tool, "qXR," in medicine, drawing from a comprehensive review of clinical trials conducted by various institutions. Key applications of AI in healthcare include machine learning, deep learning, and natural language processing (NLP), all of which contribute to enhanced diagnostic accuracy, efficiency, and speed. Through the analysis of vast datasets, AI algorithms assist physicians in interpreting medical data and making informed decisions, thereby improving patient care outcomes. Illustrative examples highlight AI's impact on medical imaging, particularly in the diagnosis of conditions such as breast cancer, heart failure, and pulmonary nodules. AI can significantly reduce diagnostic errors and expedite the interpretation of medical images, leading to more timely interventions and treatments. Furthermore, AI-powered predictive analytics enable early detection of diseases and facilitate personalized treatment plans, thereby reducing healthcare costs and improving patient outcomes. The efficacy of AI in healthcare is underscored by its ability to complement traditional diagnostic methods, providing physicians with valuable insights and support in clinical decision-making. As AI continues to evolve, its role in patient care and medical research is poised to expand, promising further advancements in diagnostic accuracy and treatment efficacy.
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Amivantamab is a fully human bispecific monoclonal antibody indicated for treating patients with specifically large cell lung cancer. Its dosage is based on the patient's initial body weight and is administered via intravenous infusion after dilution. Therefore, this drug is given as a strategy due to the great need for a molecule targeting epidermal growth factor receptor (EGFR) and the mesenchymal-epithelial transition factor (MET), as acquired resistance to tyrosine kinase inhibitors (TKIs) was observed in the treatment of large cell lung cancer. This article encompasses a review of the benefits of amivantamab for patients with non-small cell lung cancer (NSCLC). This drug is the first therapy directed against this specific mutation, and unlike others, it could bind to two genetic receptors, whereas antibodies, in general, are directed toward a single receptor.
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RESUMEN Introducción y objetivos : La insuficiencia cardíaca (IC) es una preocupación creciente de salud pública. Si bien los betabloqueantes (BB) son la base del tratamiento, lograr reducciones objetivo de frecuencia cardíaca puede ser difícil debido a los efectos secundarios y la tolerancia limitada. La ivabradina, un inhibidor único de la corriente If, ofrece un enfoque complementario para controlar la frecuencia cardíaca sin afectar la contractilidad. El objetivo de este estudio fue evaluar la eficacia de agregar ivabradina a la terapia BB en pacientes con IC. Métodos: Se realizó un estudio observacional retrospectivo en un hospital privado en San José, Costa Rica se analizaron 7 casos de pacientes tratados con BB a los cuales posteriormente se les adicionó ivabradina. Se recopilaron datos demo- gráficos, las características clínicas, la frecuencia cardíaca previa y posterior a la ivabradina, la clase funcional NYHA y los valores de laboratorio seleccionados. Resultados: La ivabradina redujo significativamente la frecuencia cardíaca en reposo en un promedio de 26,87 latidos por minuto. El 42,86% alcanzó la dosis meta de su BB inicial después de agregar ivabradina. La clase funcional NYHA se mantuvo estable o mejoró en todos los casos. Conclusiones: Estos resultados sugieren que agregar ivabradina a la terapia BB puede ser una estrategia eficaz para optimizar el control de la frecuencia cardíaca en pacientes con IC. Este enfoque puede mejorar la tolerabilidad de BB, lo que lleva a un mayor manejo de la dosis meta y posiblemente mejores resultados clínicos.
ABSTRACT Introduction and objectives: Heart failure (HF) is a growing public health concern. While beta-blockers (BBs) are the cornerstone of treatment, achieving target heart rate reductions can be difficult due to side effects and limited tolerance. Ivabradine, a unique inhibitor of the If current, offers a complementary approach to controlling heart rate without affecting contractility. This study aimed to evaluate the effectiveness of adding ivabradine to BB therapy in patients with HF. Methods : A retrospective observational study was conducted at a private hospital in San José, Costa Rica. Seven cases of patients treated with BBs who were subsequently added to ivabradine were analyzed. Demographic data, clinical characteristics, heart rate before and after ivabradine, NYHA functional class, and selected laboratory values were collected. Results : Ivabradine significantly reduced resting heart rate by an average of 26.87 beats per minute. Forty-two-point eight-six percent (42.86%) achieved the target dose of their initial BB after adding ivabradine. NYHA functional class remained stable or improved in all cases. Conclusions: These results suggest that adding ivabradine to BB therapy may be an effective strategy to optimize heart rate control in patients with HF. This approach may improve BB tolerability, leading to greater target dose management and possibly better clinical outcomes.
