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Artificial Intelligence in Diagnosis and Management of Nail Disorders: A Narrative Review.
Indian Dermatol Online J
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Financial Research and Executive Insights, Everest Group, Gurugram, Haryana, India.
Background: Artificial intelligence (AI) is revolutionizing healthcare by enabling systems to perform tasks traditionally requiring human intelligence. In healthcare, AI encompasses various subfields, including machine learning, deep learning, natural language processing, and expert systems. In the specific domain of onychology, AI presents a promising avenue for diagnosing nail disorders, analyzing intricate patterns, and improving diagnostic accuracy.
View Article and Find Full Text PDFIntegrated SegFlow, µSIA, and UPLC for Online Sialic Acid Quantitation of Glycoproteins Directly from Bioreactors.
Eng Life Sci
January 2025
Analytical Development & Analytical Attribute Science in Biologics Bristol Myers Squibb Devens Massachusetts USA.
This study emphasizes the critical importance of closely monitoring and controlling the sialic acid content in therapeutic glycoproteins, including EPO, interferon-γ, Orencia, Enbrel, and others, as the level of sialylation directly impacts their pharmacokinetics (PK), immunogenicity, potency, and overall clinical performance due to its influence on protein clearance via hepatic asialoglycoprotein receptors (ASGPR). The ASGPR recognizes and binds to glycoproteins exposed to terminal galactose or N-acetylgalactosamine residues, leading to receptor-mediated endocytosis. Recent studies have demonstrated that sialylation of O-linked glycan plays a role in protecting against macrophage galactose lectin (MGL)-mediated clearance.
View Article and Find Full Text PDFUtility of the combination of high fluorescence cells and tumor markers for the diagnosis of malignant pleural effusions.
Clin Biochem
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Laboratory Department, CLILAB, Sant Joan Despí-Moisès Broggi Hospital, Sant Joan Despí, Spain.
Background: New diagnostic tools have emerged to assist the traditional diagnosis of malignant pleural effusion (MPE), such as high fluorescence cells (HFc) and tumor markers (TMs), determined by clinical laboratory automated pleural fluid workup. This study aimed to evaluate the diagnostic ability of the combination of HFc and TMs for diagnosing MPE.
Methods: We recruited hospitalized patients with pleural effusion at Parc Taulí University Hospital.
Patient reported outcome measures in cardiovascular research and care: PRO(M)s and CONS.
J Cardiovasc Pharmacol
January 2025
Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.
Patient-reported outcome measures (PROMs) are vital tools in cardiovascular disease (CVD) research and care, providing insights that complement traditional clinical outcomes like mortality and morbidity. PROMs capture patient experiences with CVD, such as quality of life, functional capacity, and emotional well-being, allowing clinicians to assess how interventions impact daily life. PROMs are integral to cardiovascular investigations as well as management, especially in chronic conditions and rehabilitation, where they inform on the impact of personalized care plans by tracking symptom progression and patient adherence.
View Article and Find Full Text PDFThe Brussels consensus for non-invasive ICP monitoring when invasive systems are not available in the care of TBI patients (the B-ICONIC consensus, recommendations, and management algorithm).
Intensive Care Med
January 2025
Global Health Research Group in Acquired Brain and Spine Injuries, Cambridge, UK.
Background: Invasive systems are commonly used for monitoring intracranial pressure (ICP) in traumatic brain injury (TBI) and are considered the gold standard. The availability of invasive ICP monitoring is heterogeneous, and in low- and middle-income settings, these systems are not routinely employed due to high cost or limited accessibility. The aim of this consensus was to develop recommendations to guide monitoring and ICP-driven therapies in TBI using non-invasive ICP (nICP) systems.
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