"Years ago, we tried to put all of those instruments directly into our LIS. It was disastrous… Now we have all that data in one place in MAESTRIA™." Joel Mortensen, PhD, the Director of Diagnostic Infectious Diseases Testing at Cincinnati Children's Hospital, shares how MAESTRIA middleware has improved communications with clinicians and made their lab's workflow more efficient. With several stand-out features, MAESTRIA is built to simplify daily operations and take control of your microbiology data. ✅ Centralize lab performance reports ✅ Intuitive graphic user interface ✅ Integrated single software solution with the power to manage all your microbiology instruments ✅ Build multiple laboratory reports, including: blood culture contamination, antibiogram, organism occurrence, MDRO, and more Want to learn more about this exciting new microbiology middleware from the BIOMÉRIEUX VISION SUITE? Get more info or request a demo today: https://lnkd.in/g_ESbQEH
bioMérieux Clinical Diagnostics (IVD)’s Post
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What’s evolved in #AntimicrobialStewardship since the Jim O’Neill report of 2016? 💡 Find out at #ECCMID2024 with bioMérieux’s Integrated Symposium “Tackling drug-resistant infections globally with rapid diagnostics: Advancements in Microbiology since the Jim O’Neill report” ◾ Keynote: “Societal impact of AMR, with an update since the publication of the O’Neill Report” by Lord O’Neill of Gatley ◾ “Inappropriate empirical treatments in Blood Stream Infections: where we stand and how to improve?” by Prof. Romney Humphries ◾ “How Clinical Decision Support Systems and Dashboards can support Antimicrobial Stewardship”: by Prof. Céline Pulcini 📅 It’s on April 28th from 16-17:30 at HALL 6 ROOM L Find out more about bioMérieux's program at ECCMID: https://lnkd.in/epqaPYJ3 #ESCMIDGlobal #AntimicrobialStewardship #ECCMID2024 #BeAGameChanger
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If interested in rapid #NGS for pan microbial and pan fungal identification and detection, sign up for the webinar below. Don’t miss this talk from a leader in the infectious disease space.
I invite you to register for this webinar, presented by Dr. Jennifer Dien Bard, on the design, development, and testing of a new automated targeted metagenomic #NGS method to rapidly detect and identify bacteria and fungi directly from specimens. Two broadcasts are available, so pick the one that works best for you. June 20, 2024 at 10:00 a.m. PDT or June 21, 2024 at 9:00 a.m. CEST. #thermofisheremp
Webinar: Rapid microbial detection and ID with NGS
labroots.com
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This is a can't-miss webinar for microbiologists. July 30th at 1 PM , a free online event discussing "Antimicrobial Resistance: Innovations to Improve Detection and Prevention."
🌟 Almost 1 Week Left! Don't Miss Our Free Webinar, powered by Informa, discussing " Antimicrobial Resistance: Innovations to Improve Detection and Prevention"! 🌟 📅 Date: July 30th 🕐 Time: 1 PM GST ⏳ Duration: 1 hour 💻 Online Event: Join from the comfort of your own home or office! Register here: Antimicrobial Resistance: Innovations to Improve Detection and Prevention https://bit.ly/4d0WtdC Featuring Keynote Speaker: Dr. Jean B. Patal, PhD, D (ABMM) – Principal Scientific Affairs, Beckman Coulter- Microbiology Join us to explore insights into the enhancement of diagnostic methods for antimicrobial resistance. Be part of this enlightening webinar to stay updated on advancements in combating antimicrobial resistance. #BeckmanCoulter #Webinar #AntimicrobialResistance #Informa #HealthcareInnovation #FreeWebinar
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#DYK A discovery made over 140 years ago still shapes our understanding of one of healthcare's greatest challenges—antibiotic resistance! In the late 1800s, Danish scientist Hans Christian Gram developed a simple yet groundbreaking test that forever changed how we understand bacteria. The Gram stain test became a cornerstone of microbiology, helping us identify and classify bacteria based on their cell wall structure. Here’s how it works: 🔬 A chemical stain is applied to bacteria under a microscope. 🟣 Gram-positive bacteria retain a purple stain, thanks to their thick cell walls. 🔴 Gram-negative bacteria appear pink or red because their double membrane prevents the stain from penetrating fully. Why does this matter? The difference isn’t just about color—it’s about survival. Gram-negative bacteria, with their extra outer membrane, are more resistant to antibiotics, making them a key focus in the fight against drug-resistant infections. 🌍 From healthcare to public health, the Gram stain test remains a vital tool for diagnosing infections and guiding effective treatment strategies. #Microbiology #Innovation #AntibioticResistance
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🔷We’re thrilled to share that we’ve successfully completed the proof-of-concept phase for our rapid same-shift AST panel. ▪️Efficiency: We demonstrated the ability to create a determination panel in under eight hours of lab work—enabling same-shift results. ▪️Depth of Analysis: More than 400 clinical bacterial strains were tested across five major groups with diverse growth rates. These findings confirm our capability to build a commercial version of this solution. We are now off to apply the rapid analysis system for positive blood cultures, further reducing detection time for critical bacterial strains like Pseudomonas. #bacteromic #AST
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How do you ensure robust, reliable, and reproducible results? The four Fundamentals of Immunoassay Quality: 1. Spike Recovery - Measurement of accuracy 2. Linearity of Dilution - Measure of accuracy with diluted samples 3. Specificity - Confidence in a negative test result 4. Consistency - Reproducibility of a method measures precision 🔗 Learn more and download the Biotechne brochure on the '4 essentials of Immunoassay Quality': https://lnkd.in/gvYnzE2V
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🦠This paper by Sheng Zeng, et al. investigates the role of the GroEL1 protein in the antibiotic resistance and tolerance of Mycobacterium bovis BCG, a model for studying Mycobacterium tuberculosis due to their close genetic similarity. 🔎Full paper here: https://lnkd.in/g29gDuwP
The Mycobacterium bovis BCG GroEL1 Contributes to Isoniazid Tolerance in a Dormant-Like State Model
mdpi.com
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🔬👨⚕️ "It was definitely a game changer for the lab." – Dr. Carlos Espinoza Vasquez Discover why this clinical microbiologist trusts IMMY's CrAg LFA to deliver life-saving diagnostics. With its user-friendly format and semi-quantitative method, IMMY’s solutions empower labs to provide accurate, high-performance results for Cryptococcus antigen detection. ✨Explore the impact IMMY diagnostics can have in your lab. Learn more: https://hubs.ly/Q032k2HZ0 #FungalDiagnostics #CrAgLFA #ThinkFungus #TestFungus #HealthcareInnovation #LabSolutions
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📢 Breaking Ground in Infectious Disease Treatment 🦠 A new study has revealed that Ticagrelor, a commonly used antiplatelet drug, exhibits promising antibacterial effects against multidrug-resistant Staphylococcus aureus strains! 🎯 This study shows that Ticagrelor: Disrupts bacterial membranes leading to increased efficacy of antibiotics like vancomycin and daptomycin. Targets multiple lipids, making it difficult for bacteria to develop resistance. It could be used as an adjunct therapy to treat MRSA and VRSA infections. With antimicrobial resistance on the rise, repurposing existing drugs like Ticagrelor could be a game-changer in our fight against deadly bacterial infections. ⚕️ Ticagrelor alters the membrane of Staphylococcus aureus and enhances the activity of vancomycin and daptomycin without eliciting cross-resistance | mBio (asm.org) #InfectiousDiseases #AntimicrobialResistance #Ticagrelor #MRSA #Pharmacy #HealthcareInnovation #IDPharmacist
American Society for Microbiology
asm.org
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Source: (Scientific reports) Study explores multi-label classification for predicting antibiotic resistance in E. coli, S. aureus, K. pneumoniae, and P. aeruginosa using MALDI-TOF data. Evaluated four algorithms, showing multi-label models perform comparably to single-label. Findings highlight multi-label's effectiveness in capturing AMR complexity, validated on external datasets, and emphasize reproducible methodologies for scalability. Results suggest enhanced predictive accuracy for AMR research and clinical decision-making.
Multi-label classification to predict antibiotic resistance from raw clinical MALDI-TOF mass spectrometry data
pubmed.ncbi.nlm.nih.gov
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