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Grant Miller announces 2024 Rosenkranz Prize Winner Natalia Serna

Rosenkranz Prize Winner Investigates Impact of Price Controls on Contraceptives

Natalia Serna, PhD, is this year’s Rosenkranz Prize for her research examining how price ceilings on oral contraceptives impact women’s health and their access to medicine in low- to middle-income countries, particularly those of Latin America.

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QALY Ban Could Harm People with Disabilities and Chronic Illness

The U.S. House passed a bill that would ban the use of a metric known as quality-adjusted life-years (QALYs) in coverage and payment determinations for federal health-care programs. SHP's Joshua Salomon writes in this Health Affairs commentary the bill would compromise the evaluation of medical treatments.

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In Conflict Zones and Borderlands, Paul Wise Protects the Health of Vulnerable Children

Stanford Health Policy's Paul Wise — professor of pediatrics and senior fellow at the Freeman Spogli Institute for International Studies — is featured in this Stanford Magazine story about his work at the U.S.-Mexico border as the federally appointed juvenile monitor and around the world as a pediatrician who works on behalf of children of conflict.

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Mary K. Goldstein

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Applying Machine-Learning Approaches to Antibiotic Resistance

Commentary July 1, 2024

Applying Machine-Learning Approaches to Antibiotic Resistance

Commentary July 1, 2024

Stanford Medicine researchers Jonathan Chen and Mary K. Goldstein are using data science and machine learning to help doctors make better informed decisions and health-care facilities to adopt a precision stewardship approach to combatting antimicrobial resistance.

Members of the media should contact Stanford Health Policy Communications Manager Beth Duff-Brown
Voicemail: 650-736-6064

Health Policy News

Featured News

Rosenkranz Prize Winner Investigates Impact of Price Controls on Contraceptives

QALY Ban Could Harm People with Disabilities and Chronic Illness

In Conflict Zones and Borderlands, Paul Wise Protects the Health of Vulnerable Children

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Applying Machine-Learning Approaches to Antibiotic Resistance

Applying Machine-Learning Approaches to Antibiotic Resistance