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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

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
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

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
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.

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.
Emerging Applications of Machine Learning and AI for Predictive Modeling in Precision Medicine

Emerging Applications of Machine Learning and AI for Predictive Modeling in Precision Medicine

As the availability of high-quality longitudinal datasets grows, AI’s ability to transform care from reactive to proactive will continue to expand—offering clinicians unprecedented tools for individualized patient management.

Emerging Applications of Machine Learning and AI for Predictive Modeling in Precision Medicine

As the availability of high-quality longitudinal datasets grows, AI’s ability to transform care from reactive to proactive will continue to expand—offering clinicians unprecedented tools for individualized patient management.