A5050549744- Clinical Laboratory Practices and Quality Control
- Statistical Methods in Clinical Trials
- Meta-analysis and systematic reviews
- COVID-19 diagnosis using AI
- Hemodynamic Monitoring and Therapy
- Artificial Intelligence in Healthcare and Education
- COVID-19 Clinical Research Studies
- Sepsis Diagnosis and Treatment
- SARS-CoV-2 detection and testing
- Health Systems, Economic Evaluations, Quality of Life
- Pesticide Residue Analysis and Safety
- Health and Medical Research Impacts
- Reliability and Agreement in Measurement
- Chronic Kidney Disease and Diabetes
- Molecular Biology Techniques and Applications
- Hemoglobinopathies and Related Disorders
- Machine Learning in Healthcare
- Biosimilars and Bioanalytical Methods
- Bone health and osteoporosis research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Hormonal and reproductive studies
- Renal function and acid-base balance
- Iron Metabolism and Disorders
- Long-Term Effects of COVID-19
- Metabolomics and Mass Spectrometry Studies
Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele
2020-2025
Vita-Salute San Raffaele University
2004-2025
Istituti di Ricovero e Cura a Carattere Scientifico
2020-2025
IRCCS Ospedale San Raffaele
2015-2025
University of Minnesota Rochester
2023
San Raffaele University of Rome
1996-2022
European School of Molecular Medicine
2018-2020
Università Cattolica del Sacro Cuore
2000
Abstract Objectives The rRT-PCR test, the current gold standard for detection of coronavirus disease (COVID-19), presents with known shortcomings, such as long turnaround time, potential shortage reagents, false-negative rates around 15–20%, and expensive equipment. hematochemical values routine blood exams could represent a faster less alternative. Methods Three different training data set from 1,624 patients (52% COVID-19 positive), admitted at San Raphael Hospital (OSR) February to May...
ChatGPT, a tool based on natural language processing (NLP), is everyone's mind, and several potential applications in healthcare have been already proposed. However, since the ability of this to interpret laboratory test results has not yet tested, EFLM Working group Artificial Intelligence (WG-AI) set itself task closing gap with systematic approach.
In the rapid evolving landscape of artificial intelligence (AI), scientific publishing is experiencing significant transformations. AI tools, while offering unparalleled efficiencies in paper drafting and peer review, also introduce notable ethical concerns.
Data on biological variation are used for many purposes in laboratory medicine but concern exists over the validity of data reported some studies. A critical appraisal checklist has been produced by a working group established European Federation Clinical Chemistry and Laboratory Medicine (EFLM) to enable standardised assessment existing future publications data. The identifies key elements be studies safe accurate effective transport sets across healthcare systems. is mapped domains minimum...
Abstract Background: Biological variation (BV) data have many fundamental applications in laboratory medicine. At the 1st Strategic Conference of European Federation Clinical Chemistry and Laboratory Medicine (EFLM) reliability limitations current BV were discussed. The EFLM Working Group on Variation is working to increase quality by developing a project establish biobank samples from healthy subjects be used produce high data. Methods: involved six laboratories (Milan, Italy; Bergen,...
Abstract BACKGROUND The European Federation of Clinical Chemistry and Laboratory Medicine Biological Variation Study (EuBIVAS) has been established to deliver rigorously determined data describing biological variation (BV) clinically important measurands. Here, EuBIVAS-based BV estimates serum electrolytes, lipids, urea, uric acid, total protein, bilirubin, direct glucose, as well their associated analytical performance specifications (APSs), are presented. METHOD Samples were drawn from 91...
Blood biomarkers have proven useful in Alzheimer's disease (AD) research. However, little is known about their biological variation (BV), which improves the interpretation of individual-level data.
Abstract Background As the healthcare sector evolves, Artificial Intelligence’s (AI’s) potential to enhance laboratory medicine is increasingly recognized. However, adoption rates and attitudes towards AI across European laboratories have not been comprehensively analyzed. This study aims fill this gap by surveying professionals assess their current use of AI, digital infrastructure available, future implementations. Methods We conducted a methodical survey during October 2023, distributed...
Analytical performance specifications (APS) are typically established through one of three models: (i) outcome studies, (ii) biological variation (BV), or (iii) state-of-the-art. Presently, The APS can, for most measurands that have a stable concentration, be based on BV. BV APS, defined imprecision, bias, total allowable error and measurement uncertainty, applied to many different processes in the laboratory. When calculating it is important consider formulae, what setting they if suitable...
Biological variation (BV) data enable assessment of the significance changes in serial measurements observed within a subject and are used to set analytical quality specifications. This is available database held Westgard website (http://www.westgard.com/biodatabase1.htm). Some limitations this data, however, have been identified recent published reviews. The aim paper show reliability BV identify ongoing works address some its limitations.The currently hosted on was examined. Distribution...
Abstract BACKGROUND The European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Biological Variation Study (EuBIVAS) has been established to deliver rigorously determined biological variation (BV) indices. EuBIVAS BV for serum creatinine using the enzymatic alkaline picrate measurement methods. METHOD In total, 91 healthy individuals (38 males, 53 females; age range, 21–69 years) were bled 10 consecutive weeks at 6 laboratories. An equivalent protocol was followed each...
Abstract Background Laboratory medicine has reached the era where promises of artificial intelligence and machine learning (AI/ML) seem palpable. Currently, primary responsibility for risk-benefit assessment in clinical practice resides with medical director. Unfortunately, there is no tool or concept that enables diagnostic quality various potential AI/ML applications. Specifically, we noted an operational definition laboratory – specific purpose assessing improvements currently missing....
We sought to develop estimates of biological variation (BV) for 9 enzymes in blood serum as part the European Biological Variation Study.Ninety-one healthy study participants (38 male and 53 female, 21-69 years old) were phlebotomized each 10 consecutive weeks at 6 laboratories. The same preanalytical sample-handling protocol was followed center before transport San Raffaele Hospital, Milan, Italy, analysis. Sera stored -80 °C analysis duplicate within a single run on an ADVIA 2400 Clinical...
The complete blood count (CBC) is used to evaluate health status in the contexts of various clinical situations such as anemia, infection, inflammation, trauma, malignancies, etc. To ensure safe application CBC, reliable biological variation (BV) data are required. study aim was define BVs CBC parameters employing a strict protocol.Blood samples, drawn from 30 healthy subjects (17 females, 13 males) once weekly for 10 weeks, were analyzed using Sysmex XN 3000 instrument. assessed normality,...
The European Biological Variation Study (EuBIVAS) was established to deliver rigorously determined data for biological variation (BV). Here, EuBIVAS-based BV estimates are provided α1-acid glycoprotein, α1-antitrypsin, albumin, β2-microglobulin, ceruloplasmin, complement component 3, 4, C-reactive protein (CRP), cystatin C, haptoglobin, IgA, IgG, IgM, soluble transferrin receptor (sTfR), and (Trf), together with their associated analytical performance specifications (APSs) reference change...
Thyroid biomarkers are fundamental for the diagnosis of thyroid disorders and monitoring treatment patients with these diseases. The knowledge biological variation (BV) is important to define analytical performance specifications (APS) reference change values (RCV). aim this study was deliver BV estimates stimulating hormone (TSH), free thyroxine (FT4), triiodothyronine (FT3), thyroglobulin (TG), calcitonin (CT).Analyses were performed on serum samples obtained from European Biological...