User profiles for J. Guedalia

Joshua Guedalia

Bar Ilan University
Verified email at biu.ac.il
Cited by 821

[HTML][HTML] Maternal third dose of BNT162b2 mRNA vaccine and risk of infant COVID-19 hospitalization

M Lipschuetz, J Guedalia, SM Cohen, Y Sompolinsky… - Nature Medicine, 2023 - nature.com
Infants are at a higher risk of Coronavirus Disease 2019 (COVID-19)-related hospitalizations
compared to older children. In this study, we investigated the effect of the recommended …

Prediction of vaginal birth after cesarean deliveries using machine learning

M Lipschuetz, J Guedalia, A Rottenstreich… - American journal of …, 2020 - Elsevier
Background Efforts to reduce cesarean delivery rates to 12–15% have been undertaken
worldwide. Special focus has been directed towards parturients who undergo a trial of labor …

[HTML][HTML] Effectiveness of a third BNT162b2 mRNA COVID-19 vaccination during pregnancy: a national observational study in Israel

J Guedalia, M Lipschuetz, R Calderon-Margalit… - Nature …, 2022 - nature.com
The Centers for Disease Control (CDC) recommend a third dose of COVID-19 vaccine for
pregnant women, although data regarding effectiveness during pregnancy are lacking. This …

Real-time data analysis using a machine learning model significantly improves prediction of successful vaginal deliveries

J Guedalia, M Lipschuetz, M Novoselsky-Persky… - American Journal of …, 2020 - Elsevier
Background The process of childbirth is one of the most crucial events in the future health
and development of the offspring. The vulnerability of parturients and fetuses during the …

[HTML][HTML] Neonatal intensive care admission for term neonates and subsequent childhood mortality: a retrospective linkage study

S Talisman, J Guedalia, R Farkash, T Avitan, N Srebnik… - BMC medicine, 2023 - Springer
Background Neonatal intensive care unit (NICU) admission among term neonates is a rare
event. The aim of this study was to study the association of the NICU admission of term …

Prediction model for obstetric anal sphincter injury using machine learning

HH Chill, J Guedalia, M Lipschuetz… - International …, 2021 - Springer
Introduction and hypothesis Obstetric anal sphincter injury (OASI) is a complication with
substantial maternal morbidity. The aim of this study was to develop a machine learning model …

[HTML][HTML] Maternal hybrid immunity and risk of infant COVID-19 hospitalizations: national case-control study in Israel

J Guedalia, M Lipschuetz, A Cahen-Peretz… - Nature …, 2024 - nature.com
Hybrid immunity, acquired through vaccination followed or preceded by a COVID-19 infection,
elicits robust antibody augmentation. We hypothesize that maternal hybrid immunity will …

Primary risk stratification for neonatal jaundice among term neonates using machine learning algorithm

J Guedalia, R Farkash, N Wasserteil, Y Kasirer… - Early Human …, 2022 - Elsevier
Background Neonatal jaundice occurs in approximately 60% of term newborns. Although risk
factors for neonatal jaundice have been studied, all the suggested strategies are based on …

[HTML][HTML] NICU admission for term neonates in a large single-center population: a comprehensive assessment of risk factors using a tandem analysis approach

S Talisman, J Guedalia, R Farkash, T Avitan… - Journal of Clinical …, 2022 - mdpi.com
Objective: Neonatal intensive care unit (NICU) admission among term neonates is associated
with significant morbidity and mortality, as well as high healthcare costs. A comprehensive …

The impact of peak and duration of maternal intrapartum fever on perinatal outcomes

H Hochler, M Lipschuetz, J Guedalia… - American Journal of …, 2021 - Elsevier
… Author links open overlay panel Hila Hochler MD 1 , Michal Lipschuetz MSc 1 2 , Joshua
Guedalia MBA 2 , Gilad Karavani MD 3 , Sarah M. Cohen MPH 1 , Simcha Yagel MD 1 , Doron …