<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>FemTech Radar</title><description>A weekly, curated digest of FemTech industry news and women’s-health research.</description><link>https://chanmeng666.github.io/femtech-radar/</link><item><title>King’s Passion for Women’s Health Begins with Family, Grows at AAMU - aamu.edu</title><link>https://news.google.com/rss/articles/CBMidEFVX3lxTE1RbGVBa2pHa0JQUXpsNk8zTWx1bXdhQzdmbDRhTFMtMkxKak1nNmNRNkVWOGN1RlhzVzlNVnBKOEdBdVF6YUZxdExvR3dDTUZwck9IcWtpRVNFanBKNUpZZnBzQkdlXzZxdElwNUs4RzJOUHVR?oc=5</link><guid isPermaLink="true">https://news.google.com/rss/articles/CBMidEFVX3lxTE1RbGVBa2pHa0JQUXpsNk8zTWx1bXdhQzdmbDRhTFMtMkxKak1nNmNRNkVWOGN1RlhzVzlNVnBKOEdBdVF6YUZxdExvR3dDTUZwck9IcWtpRVNFanBKNUpZZnBzQkdlXzZxdElwNUs4RzJOUHVR?oc=5</guid><description>Personal stories and academic leadership inspire future practitioners and highlight the importance of community-driven health initiatives. King’s Passion for Women’s Health Begins with Family, Grows at AAMU aamu.edu</description><pubDate>Tue, 30 Jun 2026 08:13:37 GMT</pubDate><category>industry</category></item><item><title>OBBBA is Threatening Women’s Health Care Access - National Partnership for Women &amp; Families</title><link>https://news.google.com/rss/articles/CBMijwFBVV95cUxObEFzbnVlVlZtMGdVeTByaE5qTTZuOGREYkR6YU9yRlNPa283S2VoYVBPWUYwMVM4MmdqZk9Xb0Z1WldSc1ViekQ1MkdIek15dW12bHl1eWI3VlpnbmxPNk1ZYm1kLXBOcnRDcFhabHlwY1lVVnQ3d0REMjhfRDNOX2o0TTFVYTBadEtZclVsNA?oc=5</link><guid isPermaLink="true">https://news.google.com/rss/articles/CBMijwFBVV95cUxObEFzbnVlVlZtMGdVeTByaE5qTTZuOGREYkR6YU9yRlNPa283S2VoYVBPWUYwMVM4MmdqZk9Xb0Z1WldSc1ViekQ1MkdIek15dW12bHl1eWI3VlpnbmxPNk1ZYm1kLXBOcnRDcFhabHlwY1lVVnQ3d0REMjhfRDNOX2o0TTFVYTBadEtZclVsNA?oc=5</guid><description>Policy changes that restrict access to care can have far-reaching effects on women&apos;s health equity and the FemTech market. OBBBA is Threatening Women’s Health Care Access National Partnership for Women &amp; Families</description><pubDate>Tue, 30 Jun 2026 02:56:38 GMT</pubDate><category>industry</category></item><item><title>5 women&apos;s health FDA headlines you missed in Q2 2026 - Contemporary OB/GYN</title><link>https://news.google.com/rss/articles/CBMiigFBVV95cUxPMjBCT2FXaHhxMGhwWXFJSlNDbU9ITHRhVTR5cGF0eXpaMFJpLWxUSzItYmV5aV9XeE52TnkxQS1tLXJucjhCQWM0T2hubF8ybUd1bzJHNVZWLTdtTFJSOFdiQVpvX0RsWExVRTdac2FHWjFEb3poUkNQWFVyNG5aNHlhbHFBc2k3cmc?oc=5</link><guid isPermaLink="true">https://news.google.com/rss/articles/CBMiigFBVV95cUxPMjBCT2FXaHhxMGhwWXFJSlNDbU9ITHRhVTR5cGF0eXpaMFJpLWxUSzItYmV5aV9XeE52TnkxQS1tLXJucjhCQWM0T2hubF8ybUd1bzJHNVZWLTdtTFJSOFdiQVpvX0RsWExVRTdac2FHWjFEb3poUkNQWFVyNG5aNHlhbHFBc2k3cmc?oc=5</guid><description>Regulatory updates from the FDA directly impact the development and availability of FemTech solutions, informing practitioners about new opportunities and compliance requirements. 5 women&apos;s health FDA headlines you missed in Q2 2026 Contemporary OB/GYN</description><pubDate>Mon, 29 Jun 2026 20:33:05 GMT</pubDate><category>industry</category></item><item><title>MAM-AI: An On-Device Medical Retrieval-Augmented Generation System for Nurses and Midwives in Zanzibar</title><link>http://arxiv.org/abs/2606.29580v1</link><guid isPermaLink="true">http://arxiv.org/abs/2606.29580v1</guid><description>Deploying robust, offline AI tools for midwives in low-resource settings can directly improve maternal and newborn outcomes, bridging gaps in care. Maternal and newborn mortality remain among the highest in sub-Saharan Africa, where midwifery care is often delivered by nurses who lack midwifery training to international standards, and consulting authoritative guidance at the point of care is hard: the guidelines are long…</description><pubDate>Sun, 28 Jun 2026 19:52:04 GMT</pubDate><category>research</category></item><item><title>mamabench and mamaretrieval: Benchmarks for Evaluating Medical Retrieval-Augmented Generation in Maternal, Neonatal, and Reproductive Health</title><link>http://arxiv.org/abs/2606.29467v1</link><guid isPermaLink="true">http://arxiv.org/abs/2606.29467v1</guid><description>Open benchmarks for maternal health AI enable more robust, transparent, and equitable evaluation of tools that can impact care quality for women and children. Medical question-answering benchmarks rarely cover the maternal, neonatal, child, and reproductive-health questions a nurse-midwife asks, and, to our knowledge, no public chunk-level relevance benchmark exists for maternal-health guideline retrieval. We release two benchmarks…</description><pubDate>Sun, 28 Jun 2026 15:51:53 GMT</pubDate><category>research</category></item><item><title>Dual Agreement Consistency Learning for Semi-Supervised Fetal Ultrasound Segmentation</title><link>http://arxiv.org/abs/2606.25254v1</link><guid isPermaLink="true">http://arxiv.org/abs/2606.25254v1</guid><description>Advances in annotation-efficient ultrasound AI can make fetal monitoring more accessible and accurate, especially in resource-limited settings. Maternal-fetal US is the primary imaging modality for monitoring fetal development, yet accurate automated segmentation remains challenging due to the scarcity of pixel-level annotations. To address this issue, we propose DACL, a semi-supervised framework for robust fetal US…</description><pubDate>Wed, 24 Jun 2026 00:26:00 GMT</pubDate><category>research</category></item></channel></rss>