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antifungal resistance

5 sources1 duplicate merged49 results1 found in multiple sources

Abstract onlyPubMed
Antifungal Drug Resistance: Molecular Mechanisms in Candida albicans and Beyond
Lee Y, Puumala E, Robbins N et al. · Chem Rev · 2021
Abstract
Fungal infections are a major contributor to infectious disease-related deaths across the globe. Candida species are among the most common causes of invasive mycotic disease, with Candida albicans reigning as the leading cause of invasive candidiasis. Given th
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Abstract onlyEurope PMC
mSphere of Influence: The age of antifungal resistance
van Rhijn N. et al. · mSphere · 2026
No abstract available
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Abstract onlyCrossref
Antifungal pharmacokinetics and pharmacodynamics: understanding the implications for antifungal drug resistance
Andes D et al. · Drug Resistance Updates · 2004
No abstract available
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Open AccessOpenAlex
Tackling the emerging threat of antifungal resistance to human health
Matthew C. Fisher, Ana Alastruey‐Izquierdo, Judith Berman et al. · Nature Reviews Microbiology · 2022
No abstract available
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Open AccessDOAJ
Antibiogram Profile and Resistance Patterns of Microflora from Vaginal Discharge in Reproductive-age Women at a Nigerian Teaching Hospital
Chizoba M. Enemchukwu, Christiana Nwabueze, Oluchi J. Osuala et al. · RADS Journal of Biological Research & Applied Science · 2024
Abstract
Background: The adult human vagina hosts a complex biota containing diverse communities of microorganisms. The occurrence of multi-drug-resistant strains of these microorganisms has persistently increased due to poor hygiene and misuse or abuse of antibiotics.
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Abstract onlyPubMed
Antifungal Drug Resistance
Rhodes J et al. · Curr Top Microbiol Immunol · 2025
Abstract
Fungal infections pose an important threat to public health and food security, and with the rise in antifungal drug and fungicide resistance, we are faced with a global crisis. Currently, humanity is at an intersection of global climate change driving the expa
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Abstract onlyEurope PMC
Scientists sound the alarm on increasing antifungal resistance
Roush K. et al. · Am J Nurs · 2026
No abstract available
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Abstract onlyCrossref
Antifungal resistance in dermatophytosis: A global health concern
Begum J, Das P et al. · Letters In Animal Biology · 2022
No abstract available
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Real results from 5 databases. Counts and papers are what the live search returned.

41.0MPubMed48.6MEurope PMC185.3MCrossref323.9MOpenAlex13.4MDOAJ

We say 320M+ papers rather than 612M because these overlap heavily: OpenAlex already contains most of Crossref, and Europe PMC contains all of PubMed. Adding them together would give a number no librarian would let stand.

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A Novaralis evidence table for four sepsis papers. Columns for relevance, paper, design, population, sample size, intervention versus comparator, and key finding. One paper is marked Include, one Maybe, two Exclude, each with a one-line reason. The paper with no abstract shows dashes and a note reading no abstract available.

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The Novaralis projects screen showing nine research projects, from Candida auris surveillance to antibiotic stewardship in the ICU and C. difficile recurrence. Each card carries a one-line description, an article count ranging from two to twelve, and when it was last worked on. The header reads nine projects, fifty-seven articles saved total.

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SearchJPD1J

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Priya Raghavan added articles to “Sepsis Management Review”2 minutes ago

5 sources4 duplicates merged46 results

Abstract onlyPubMed
Interpretable machine learning model for new-onset atrial fibrillation prediction in critically ill patients: a multi-center study
Crit Care · 2024
New-onset atrial fibrillation (NOAF) is the most common arrhythmia in critically ill patients admitted to intensive care and is associated with poor prognosis and disease burden. Identifying high-risk individuals early is crucial. This study aims to create and
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Abstract onlyEurope PMC
Association between clinical characteristics within 6 h of ICU admission and 30-day mortality risk in immunocompromised sepsis patients: development and validation of a machine learning model based on the MIMIC-IV database
Front Digit Health · 2026
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Abstract onlyCrossref
Machine Learning for Early Prediction of Sepsis in Intensive Care Unit (ICU) Patients
Medicina · 2023
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Abstract onlyOpenAlexPubMed
An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU
Critical Care Medicine · 2017
Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critically ill patients. Early intervention with antibiotics improves survival in septic patients. However, no clinically validated system exists for real-time prediction of sepsi
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Open AccessDOAJ
Personalized ICU mortality assessment by interpretable machine learning algorithms in patients with sepsis combined lung cancer: a population-based study and an external validation cohort
Frontiers in Oncology · 2025
PurposeSepsis is a leading cause of mortality, especially among immunocompromised patients with lung cancer. We aimed to establish machine learning (ML) based model to accurately forecast ICU mortality in patients with sepsis combined lung cancer.MethodsWe inc
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Abstract onlyPubMed
Early prediction of sepsis associated encephalopathy in elderly ICU patients using machine learning models: a retrospective study based on the MIMIC-IV database
Front Cell Infect Microbiol · 2025
Sepsis associated encephalopathy (SAE) is prevalent among elderly patients in the ICU and significantly affects patient prognosis. Due to the symptom similarity with other neurological disorders and the absence of specific biomarkers, early clinical diagnosis
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ArticlesEvidence tableCitationsOutline

1Nationwide surveillance of azole-resistant bloodstream isolates
2Early lactate clearance and 28-day mortality in septic shock
3Balanced crystalloids versus saline in sepsis: a meta-analysis
4The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)
5A randomized trial of protocol-based care for early septic shock
6Hydrocortisone plus Fludrocortisone for Adults with Septic Shock

Project info

Articles4

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People with access

Sepsis Management Review

JJames Rivera (you)Case Western Reserve UniversityOwner

PPriya RaghavanCase Western Reserve UniversityEditor

DDaniel OkonkwoCleveland ClinicViewer

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The Novaralis research digest for the week of August 17, 2026, with topic filters for infectious disease, ICU care and antibiotic resistance, a date range selector, and a switch for emailing the digest every Friday.

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