Punjab, Delhi have highest prevalence of low birth weight; climate conditions such as rainfall and temperature also linked to ...

Inconsistent sleep in early pregnancy may predict preterm birth. New research shows wearable data could help doctors detect ...

Think you might be experiencing a pregnancy complication? Don't panic; here are some issues to know about and when to call your doctor.

While measles may have been a contributing factor in both the premature birth and death, the infant also faced other serious medical complications unrelated to the virus, Dr. Kieran Moore, Ontario ...

A premature infant who contracted measles before birth has died in southwestern Ontario, the province’s chief medical officer of health says, According to Dr. Kieran Moore, the infant’s mother ...

Preterm birth is also linked to complications such as cerebral palsy, respiratory distress syndrome, and long-term noncommunicable disease risks, while early-term births (37-39 weeks of gestation ...

Preterm birth is also linked to complications such as cerebral palsy, respiratory distress syndrome, and long-term noncommunicable disease risks, while early-term births (37-39 weeks of gestation ...

The study included both preterm births with intact membranes and premature rupture of membranes (when the waters break before labor starts), with fewer than 3% having a prior preterm birth.

Premature birth – when a baby is born before 37 weeks of pregnancy – affects more than 13 million infants each year and is the second leading cause of childhood mortality and disability.

Her mission: to make preterm birth prevention proactive, not reactive. Rethinking Prenatal Care Traditionally, obstetrics has operated from a reactive standpoint—intervening only after symptoms arise.

Evidence review raises concern about cannabis use in pregnancy Moderate risk for preterm birth, low birth weight Date: May 5, 2025 Source: Oregon Health & Science University Summary: A systematic ...

Could AI predict preterm births before symptoms arise? A new study finds that machine learning models, especially SVMs, can assess risk with impressive accuracy—offering hope for earlier ...