Results 81 to 90 of about 11,167,208 (428)
COVID-VR: A Deep Learning COVID-19 Classification Model Using Volume-Rendered Computer Tomography [PDF]
The COVID-19 pandemic presented numerous challenges to healthcare systems worldwide. Given that lung infections are prevalent among COVID-19 patients, chest Computer Tomography (CT) scans have frequently been utilized as an alternative method for identifying COVID-19 conditions and various other types of pulmonary diseases.
arxiv
The power of microRNA regulation—insights into immunity and metabolism
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto+2 more
wiley +1 more source
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi+4 more
wiley +1 more source
Background For patients with acute exacerbation of COPD (AECOPD), type 2 diabetes mellitus (T2DM) as comorbidity have poor outcomes. However, data on the impact of previously diagnosed and new- diagnosed T2DM in such a patient population is lacking ...
Li Lin+3 more
doaj +1 more source
Psychosocial Need Analysis of Patients with Pulmonary Tuberculosis. [PDF]
Pulmonary tuberculosis (TB) is a chronic pulmonary disease impacted on physical and psychosocial of the patients. However, to date, the goverment’s programs has not address the psychososial problem of the patients yet.
Hernawati, T. (Taty)+3 more
core +2 more sources
Non-tuberculous mycobacterial pulmonary disease
Nontuberculous mycobacterial pulmonary disease (NTM-PD) is a challenging infection which is becoming increasingly prevalent, particularly in the elderly, for reasons which are unknown.
S. Cowman+3 more
semanticscholar +1 more source
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs [PDF]
Pulmonary diseases can cause severe respiratory problems, leading to sudden death if not treated timely. Many researchers have utilized deep learning systems to diagnose pulmonary disorders using chest X-rays (CXRs). However, such systems require exhaustive training efforts on large-scale data to effectively diagnose chest abnormalities.
arxiv
Circulating tumor cells: advancing personalized therapy in small cell lung cancer patients
Small cell lung cancer (SCLC) is an aggressive form of lung cancer that spreads rapidly to secondary sites such as the brain and liver. Cancer cells circulating in the blood, “circulating tumor cells” (CTCs), have demonstrated prognostic value in SCLC, and evaluating biomarkers on CTCs could guide treatment decisions such as for PARP inhibitors ...
Prajwol Shrestha+6 more
wiley +1 more source
We report a case of interrupted inferior vena cava with azygos continuation diagnosed as a isolated finding in a patient with lung carcinoma. Findings of the unopacified CT scan initially simulated a paraesophageal lymphadenopathy.
U. Yılmaz+5 more
doaj +1 more source
Pulmonary hypertension in adolescents with sickle cell disease [PDF]
Sickle cell disease consists of a group of disorders that have a similar mutation in at least one of the beta-globin chains of hemoglobin. This results in a change of the hemoglobin to sickle shaped cells when in the deoxygenated state.
Akinyemi, Katherine
core +1 more source