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AI for Predicting Resistance in Gram-Negative Bloodstream Infections: A New Frontier in Sepsis Management

AI for Predicting Resistance in Gram-Negative Bloodstream Infections: A New Frontier in Sepsis Management

Gram-negative bloodstream infections (GN-BSI) remain among the most severe and lethal infectious diseases, particularly in intensive care units and regions where multidrug resistance (MDR) is endemic.
Updated on: July 07,2025 0
AI for Predicting Resistance in Gram-Negative Bloodstream Infections: A New Frontier in Sepsis Management

AI for Predicting Resistance in Gram-Negative Bloodstream Infections: A New Frontier in Sepsis Management

Gram-negative bloodstream infections (GN-BSI) remain among the most severe and lethal infectious diseases, particularly in intensive care units and regions where multidrug resistance (MDR) is endemic.
Updated on:July 07,2025 0
AI-Powered Analysis of Web-Based Voice Recordings for Suicide Risk Prediction: A Frontier in Digital Mental Health

AI-Powered Analysis of Web-Based Voice Recordings for Suicide Risk Prediction: A Frontier in Digital Mental Health

Suicide remains a pressing global public health issue, particularly among youth and marginalized populations. Traditional risk assessments often depend on self-reported symptoms and sporadic clinical evaluations, both of which can fail to identify individ
Updated on: July 21,2025 0
AI-Powered Analysis of Web-Based Voice Recordings for Suicide Risk Prediction: A Frontier in Digital Mental Health

AI-Powered Analysis of Web-Based Voice Recordings for Suicide Risk Prediction: A Frontier in Digital Mental Health

Suicide remains a pressing global public health issue, particularly among youth and marginalized populations. Traditional risk assessments often depend on self-reported symptoms and sporadic clinical evaluations, both of which can fail to identify individ
Updated on:July 21,2025 0
A Window to the Womb: Leveraging AI and Retinal Vascular Imaging for Early, Non-Invasive Diagnosis of Preeclampsia

A Window to the Womb: Leveraging AI and Retinal Vascular Imaging for Early, Non-Invasive Diagnosis of Preeclampsia

Preeclampsia is a leading cause of maternal and fetal morbidity and mortality, affecting 2–8% of pregnancies globally. Each year, it accounts for approximately 46,000 maternal and over 500,000 fetal deaths, disproportionately burdening low-resource settin
Updated on: July 25,2025 0
A Window to the Womb: Leveraging AI and Retinal Vascular Imaging for Early, Non-Invasive Diagnosis of Preeclampsia

A Window to the Womb: Leveraging AI and Retinal Vascular Imaging for Early, Non-Invasive Diagnosis of Preeclampsia

Preeclampsia is a leading cause of maternal and fetal morbidity and mortality, affecting 2–8% of pregnancies globally. Each year, it accounts for approximately 46,000 maternal and over 500,000 fetal deaths, disproportionately burdening low-resource settin
Updated on:July 25,2025 0
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