The Innovation Strategy Collection features insights about how technology is being used to improve women’s health.
This research, focuses on the current healthtech and digital health funding landscape, venture trends in women's health investing and key challenge...
According to an analysis of 130 peer-reviewed studies conducted by the Global Gender and Climate Alliance, women and girls are significantly more v...
One of the most fascinating innovation challenges of our time is the search for extraterrestrial life. It's interesting to review the history of ho...
As usual, the Olympics showcases groundbreaking innovations that have the potential for broader adoption. Here are three to watch in the areas of e...
The potential cost-savings associated with Food as Medicine innovations are significant. Research published by Tufts University in 2023 revealed that the implementation of medically tailored meals and produce prescription initiatives in the United States could save a combined total of $524.1 billion in healthcare costs over a decade, while avoiding millions of hospitalizations.
Many digital health projects fail to deliver expected ROI, prompting CFOs to demand at least 15% returns within a year. Experts highlight issues like low adoption and mismatched functionalities as key reasons for these failures. Successful digital solutions include self-service patient scheduling, cybersecurity, and telemedicine, while virtual nursing and Autonomous Medical Coding struggle with adoption. High expectations surround remote patient monitoring. To enhance ROI, women’s health innovators and health organizations must tackle adoption barriers, identify effective solutions, and engage in continuous testing and iteration.
AI and machine learning are revolutionizing cancer detection, with 521 FDA approvals for AI-powered devices focused on early cancer detection. These technologies are also being used to analyze health outcomes, classify high-risk populations for various cancers, and develop blood-based multi-cancer detection tests. Nevia Bio is utilizing AI to detect ovarian cancer, aiming to make the test accessible without a prescription. Furthermore, AI is being explored for screening lower extremity lymphedema in pelvic CT images, showcasing diverse applications in women’s health in oncology. This advancement in AI is transforming diagnostic practices and potentially improving patient outcomes.
Hyper-personalization in women’s health refers to the customization and tailoring of healthcare experiences and services specifically for women. It involves the collection of data, and leveraging technologies like artificial intelligence and machine learning, to better understand and address the unique needs, preferences, and health concerns of women.
Advancements in AI are revolutionizing women’s healthcare, with improved diagnosis and personalized treatment options for conditions like PCOS and breast cancer. AI also enables real-time monitoring during pregnancy, potentially improving maternal health. However, the integration of AI in healthcare requires a balance between technological advancement and human oversight to ensure accuracy and patient safety. Overall, AI holds the potential to enhance early detection and proactive women’s healthcare, provided it is implemented thoughtfully.
Dive deeper into themes and topics covered in this collection with Femmaya, our AI-powered innovation assistant.
Discovery | Inspiration | Insight
Explore additional insights from Femalytics collections.
Fill in the form below to get this free report.
No spam. Easily unsubscribe anytime with one click.
Sign up to get current and future Femalytics Resource Hub insights and education, including:
No spam. Easily unsubscribe anytime with one click.
Fill in the form below to get this free report.
No spam. Easily unsubscribe anytime with one click.
Fill in the form below to join this free email course.
No spam. Easily unsubscribe anytime with one click.
Hundreds of innovators are benefiting from these free data, insights and educational resources.