Embie Clinic

Tomorrow, I’ll be speaking at PyData Tel Aviv 2024, sharing the development journey of a GenAI-based tool we built at Embie Clinic. I’ll cover the challenges we faced, the technologies we explored, and the limitations we encountered along the way. There are many interesting and relevant lectures in the event tomorrow, for data scientists, developers and Python coders! Take a look at the agenda here: https://lnkd.in/di4EQBcu I’m especially looking forward to these sessions: Ortal Ashkenazi will share her experience with practical NLP applications. Mor Hananovitz 🎗will demonstrate how to quickly explore and gather insights from new datasets. Shuki Cohen and Yoel Zeldes will live-code and show how to connect language models to vector databases to enrich models with relevant data.

This was fun! Yesterday, I had the opportunity to present at ASRM on two exciting projects we're working on at Embie Clinic. The first was an analysis of online fertility forum discussions, where we used LLMs and NLP tools to uncover key topics and emotions expressed by fertility patients on their journeys. The second was about a generative AI tool we developed to solve information retrieval challenges in fertility care. In 2024, shouldn’t doctors be able to simply ask for the information they need instead of searching for it? That’s exactly what our tool enables. Together with Josh Gottesman, Ari Zellner and Steve Rooks, we’re also presenting our clinic platform and patient app at the American Society for Reproductive Medicine - ASRM booth, making meaningful connections with people in the fertility care community. If you're here, come say hello! Ravid Israel Ido Yohanan Gabrielle Heilman Dana Averbuch Moran Zivoni Tamar Rucham Orianne Shahar Gilad Embie Clinic American Society for Reproductive Medicine - ASRM

Proud to be a part of the Inside Reproductive Health #IVFHeroesUniverse. Thanks Griffin Jones for putting together this guide and to Abigail Sirus and David Sable for developing these critical criteria for fertility companies to judge our impact. Excited for American Society for Reproductive Medicine - ASRM annual gathering next week. #ASRM2024 Come see us at booth SUS-6 and learn how Embie Clinic can help you improve patient experience while making even more patients into parents! Reserve your demo here: https://lnkd.in/dEkD3vcW Shirli Di-Castro Shashua Ari Zellner Ravid Israel Dana Averbuch Tamar Rucham Gabrielle Heilman Ido Yohanan Moran Zivoni Orianne Shahar Gilaad Alex Orlovsky

We’re excited to be part of ASRM 2024 in Denver and would love to connect with you there! If you're passionate about advancing access to fertility and the patient experience, here’s how you can engage with us: 🚀 Visit Our Booth SUS-6 Meet our CEO, Josh Gottesman, and get a hands-on look at Embie Clinic's FertilityOS™. Our solution provides real-time monitoring capabilities to support treatment planning and enhance patient care. We also offer a fully synced patient app for clinic patients, providing access to cycle data, appointments, secure messaging, and more! Stop by for a demo and see how we can help optimize workflows in your clinic or book a time here: https://lnkd.in/dEkD3vcW 📊 E-Poster Presentations Our Senior Data Scientist, Dr. Shirli Di-Castro Shashua, PhD, will be presenting two abstracts, diving deep into critical aspects of fertility treatment and patient engagement: 1️⃣ EMOTIONAL DYNAMICS AND INFORMATIONAL NEEDS IN ONLINE FERTILITY FORUMS: INSIGHTS FROM USER INTERACTIONS 🕒 Time: 11:30 AM 2️⃣ GENERATIVE AI SOLUTIONS FOR OVERCOMING INFORMATION RETRIEVAL CHALLENGES IN FERTILITY CARE 🕒 Time: 12:00 PM We look forward to meeting you at ASRM 2024! American Society for Reproductive Medicine - ASRM

Yesterday I participated in the NVIDIA + AI21 Labs' Dev Day and... I won 1st place in the Jamba Challenge mini-hackathon 😁 It was a great experience working on AI solutions with many talented people. The Mabma-based architecture of Jamba models, based on SSM, offers interesting advantages over transformers - reducing inference time by 3x compared to transformer architectures and significantly improving the ability to answer complex queries in long context lengths. However, the challenge remains in aligning these models to accurately follow specific instructions, an area where they still struggle. In the session led by Roi Cohen, we explored the Jamba architecture in detail to understand how its components offer advantages over transformer-based models. Roi recommended the blog "Mamba: The Easy Way", by Jack Cook (https://lnkd.in/dFW8VM7f), which explains the math behind the Mamba blocks. During the mini-hackathon, Roi and Ori Shapira challenged us with creating an LLM flow that can answer many types of complex questions on realistic data (financial in this challenge) - this task is highly non trivial and requires deep dive into how to tackle these kind of problems. Participants presented a range of interesting approaches, from chunking the context and guiding the model to the right section of text to using a planning framework that breaks down queries into sequential steps. Thank you Hila Weisman-Zohar, Tsachi Shushan and Amit Mandelbaum, for the enjoyable social time we shared at the conference! And many thanks to AI21 Labs for hosting such a well-organized event Olivia Gorvy! The prize for winning 1st place in the Jamba Challenge included high-quality headphones and $3K in credits to use with AI21 LLM models. I’m excited to bring these credits to Embie Clinic, where I work, so we can put them to good use in improving fertility care worldwide. I'd also like to take this opportunity to thank Embie Clinic and our CTO Dana Averbuch, who always encourages me to grow, learn, and expand my professional skills, understanding how this personal development benefits both me and the company. Dana Averbuch - I truly truly appreciate it ❤️.