Aiman Fatima

Early Nephrology Consultation and Acute Kidney Injury in Hospitalized Patients

Matthew M. Churpek, Aiman Fatima, Olasunkanmi Anjorin, Ananya Saravanan et autres

Objective: To determine whether a structured early nephrology consultation triggered by a machine-learning acute kidney injury (AKI) risk score (electronic signal to prevent AKI [ESTOP-AKI]) in patients at high risk for stage 2 AKI improves patient outcomes. Design, Setting, and Participants: This …

us (code pays fourni par la source)

Unravelling Tolerance Mechanisms in Stevia rebaudiana Under Salinity and Drought Stress: Implications for Sustainable Cultivation

Arshi Fatima, Aiman Fatima, Tariq Aftab, Sarvajeet Singh Gill et autres

in (code pays fourni par la source)

Safety and Efficacy of Obicetrapib for Atherogenic Lipid Reduction: A Systematic Review and Meta-Analysis

Saqib Ali, Adel Mansour, Maheen Sheraz, Zohaib Ali et autres

Cardiovascular risk remains elevated in hyperlipidemic patients despite standard lipid-lowering therapy, with dyslipidemia persisting as a key contributor. We conducted a meta-analysis to investigate the effectiveness and safety of obicetrapib, a selective cholesteryl ester transfer protein inhibitor, in improving lipid parameters and …

pk, Égypte, us (code pays fourni par la source)

Neural Network-Based Risk Score Prediction of Severe AKI: Clinical Outcomes in a High-Risk Cohort

Aiman Fatima, Jay L. Koyner

Background: Timely identification of patients at risk of severe acute Kidney Injury (AKI) may allow for clinical interventions and reduce adverse outcomes and the burden of AKI. Artificial intelligence-based risk scores may help identify patients earlier and improve outcomes. Methods: We identified …

us (code pays fourni par la source)

Randomized Trial of an Early, Standardized Nephrology Consult Triggered by a Machine Learning Model

Jay L. Koyner, Aiman Fatima, Matthew M. Churpek

Background: Early detection of impending AKI may improve outcomes. We previously developed a machine learning model to detect AKI (ESTOP). We aimed to determine if earlier detection using our model combined with structured early nephrology consultation (ENC) improves outcomes Methods: We conducted …

us (code pays fourni par la source)

UMBRELLA REVIEW OF AI-BASED RADIOLOGY TECHNIQUES: COMPARING TRADITIONAL AND DEEP LEARNING METHODS

Waseem Sajjad, Rubbia Iqbal, Aiman Fatima, Ali Jaffar

Background Artificial intelligence (AI) has revolutionized diagnostic radiology by improving accuracy, efficiency, and clinical decision-making. While numerous systematic reviews and meta-analyses have evaluated the performance of AI-based techniques, particularly traditional machine learning (ML) and deep learning (DL) models, a comprehensive synthesis of …

us, pk (code pays fourni par la source)

One Earth-One Health (OE-OH): Antibacterial Effects of Plant Flavonoids in Combination with Clinical Antibiotics with Various Mechanisms

Ganjun Yuan, Fengxian Lian, Yu Yan, Yu Wang et autres

Background/Objectives: Antimicrobial resistance (AMR) poses a significant threat to human health, and combination therapy has proven effective in combating it. It has been reported that some plant flavonoids can enhance the antibacterial effects of antibiotics and even reverse AMR. This study systematically …

cn (code pays fourni par la source)

One Earth-One Health (OE-OH): Antibacterial Effects of Plant Flavonoids in Combination with Clinical Antibiotics with Various Mechanisms

Ganjun Yuan, Fengxian Lian, Yu Yan, Yu Wang et autres

Background/Objectives: Antimicrobial resistance (AMR) has been seriously threatening to human health, and combination therapy has been proved to be an effective strategy to fight the AMR. Many plant flavonoids can enhance the antibacterial effects of antibiotics, and even reverse the AMR. Our …

A Comparative Study on the Effect of Context on Retrieval between Adolescent Boys and Adolescent Girls

Ayesha Anjum -, Aiman Fatima

This comparative study delves into the nuanced ways contextual factors impact information retrieval among adolescent boys and girls. The aim is to analyse cognitive processes, memory, and learning preferences unique to each gender. By examining how they navigate and recall information within …

us (code pays fourni par la source)

Tu1962 VITAMIN D3 ATTENUATES LIPOPOLYSACCHARIDE-INDUCED NECROPTOSIS IN CACO-2 CELLS

Joshua Avina, Abdul Malik, Aiman Fatima, Suhail Akhtar

Quality, safety, and microbiological assessment of loose market milk and antibiotic resistance analysis of Escherichia coli isolates in different areas of Faisalabad, Pakistan

Linta Khalid, Aiman Fatima, Shahid Nawaz, Ayaz Khurram et autres

pk (code pays fourni par la source)

Antibacterial Activity and Mechanisms of Plant Flavonoids against Gram-Negative Bacteria Based on the Antibacterial Statistical Model

Yu Yan, Xuexue Xia, Aiman Fatima, Li Zhang et autres

The antimicrobial quantitative structure–activity relationship of plant flavonoids against Gram-positive bacteria was established in our previous works, and the cell membrane was confirmed as a major site of action. To investigate whether plant flavonoids have similar antibacterial effects and mechanisms against both …

cn (code pays fourni par la source)