AI Medical Compendium Journal:
Clinica chimica acta; international journal of clinical chemistry

Showing 1 to 10 of 37 articles

Development and validation of a machine learning model based on complete blood counts to predict clinical outcomes in urothelial carcinoma patients.

Clinica chimica acta; international journal of clinical chemistry May 15, 2025
Urothelial carcinoma (UC) is a highly malignant disease with significant public health implications. Despite advancements in oncology, early diagnosis and effective prognostic tools remain limited. This study aimed to develop a machine learning model...
Urologic Neoplasms Blood Cell Count Male Middle Aged Cohort Studies Aged Aged, 80 and over Humans Machine Learning Retrospective Studies Female Prognosis
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Tailored pharmacotherapy monitoring in Parkinson's disease and Schizophrenia using a rapid and sensitive α-Synuclein assay.

Clinica chimica acta; international journal of clinical chemistry May 6, 2025
BACKGROUND: While Parkinson's disease is a low dopamine neurodegenerative disorder, Schizophrenia is considered a high dopamine psychiatric disorder. Pharmacological interventions that are directed to normalize dopamine concentrations in the mid-brai...
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Accelerating antimicrobial stewardship: An AI-CDSS approach to combating multidrug-resistant pathogens in the era of increasing resistance.

Clinica chimica acta; international journal of clinical chemistry Apr 29, 2025
OBJECTIVES: The World Health Organization has identified Klebsiella pneumoniae (KP) and Pseudomonas aeruginosa (PA) as significant public health threats owing to high antibiotic resistance. Traditional antibiotic susceptibility testing (AST) methods,...
Drug Resistance, Multiple, Bacterial Decision Support Systems, Clinical Klebsiella pneumoniae Anti-Bacterial Agents Microbial Sensitivity Tests Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Antimicrobial Stewardship Pseudomonas aeruginosa Artificial Intelligence Machine Learning Humans
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Clinical correlations of plasma sphingosine-1-phosphate and sphingolipid key enzymes in severe dengue using laboratory and machine learning approach.

Clinica chimica acta; international journal of clinical chemistry Apr 28, 2025
BACKGROUND: Sphingolipids are crucial for vascular integrity and cellular homeostasis, with recent studies highlighting their role in viral diseases.
Humans Machine Learning Prospective Studies Adolescent Sphingosine Adult Lysophospholipids Female Male Young Adult Middle Aged Sphingolipids Severe Dengue
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A machine learning approach for assessing acute infection by erythrocyte sedimentation rate (ESR) kinetics.

Clinica chimica acta; international journal of clinical chemistry Apr 22, 2025
BACKGROUND: The erythrocyte sedimentation rate (ESR) is a traditional marker of inflammation, valued for its simplicity and low cost but limited by unsatisfactory specificity and sensitivity. This study evaluated the equivalence of ESR measurements o...
Female Aged Adult Humans Machine Learning Kinetics Infections Blood Sedimentation Middle Aged Acute Disease Male
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Data independent acquisition proteomics and machine learning reveals that proteins associated with immunity are potential molecular markers for early diagnosis of autism.

Clinica chimica acta; international journal of clinical chemistry Apr 2, 2025
BACKGROUND: Early diagnosis of autism is critical to its treatment, but so far, there is no clear molecular marker for early diagnosis in children.
Humans Biomarkers Female Machine Learning Autistic Disorder Child Male Child, Preschool Proteomics Early Diagnosis
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Artificial intelligence-assisted point-of-care devices for lung cancer.

Clinica chimica acta; international journal of clinical chemistry Feb 11, 2025
Lung cancer is the leading cause of cancer-related deaths worldwide, primarily due to late-stage detection, which limits treatment options. Early detection and screening can increase survival rates, but traditional medical imaging methods are costly ...
Early Detection of Cancer Humans Point-of-Care Systems Lung Neoplasms Biosensing Techniques Artificial Intelligence Biomarkers, Tumor
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Harnessing AI for enhanced evidence-based laboratory medicine (EBLM).

Clinica chimica acta; international journal of clinical chemistry Feb 3, 2025
The integration of artificial intelligence (AI) into laboratory medicine, is revolutionizing diagnostic accuracy, operational efficiency, and personalized patient care. AI technologies(machine learning, natural language processing and computer vision...
Clinical Laboratory Techniques Artificial Intelligence Precision Medicine Evidence-Based Medicine Humans
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Performance and efficiency of machine learning models in analyzing capillary serum protein electrophoresis.

Clinica chimica acta; international journal of clinical chemistry Jan 26, 2025
BACKGROUND AND OBJECTIVE: Serum protein electrophoresis (SPEP) plays a critical role in diagnosing diseases associated with M-proteins. However, its clinical application is limited by a heavy reliance on experienced experts.
Blood Proteins Humans Electrophoresis, Capillary Machine Learning Blood Protein Electrophoresis
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Development and validation of a support vector machine-based nomogram for diagnosis of obstetric antiphospholipid syndrome.

Clinica chimica acta; international journal of clinical chemistry Jan 5, 2025
BACKGROUND: Antiphospholipid Syndrome (APS) is a systemic autoimmune disorder characterized by arterial or venous thrombosis and/or pregnancy complications. This study aims to develop a diagnostic model for Obstetric APS (OAPS) using the Support Vect...
Pregnancy Complications Antiphospholipid Syndrome Nomograms Support Vector Machine Humans Female Retrospective Studies Adult Pregnancy
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