EMBRY

In today's tech-driven era, Artificial Intelligence (AI) stands out as a beacon of transformation, especially in the realm of medical sciences. One of the most poignant intersections of AI and healthcare is seen in the intricate process of In Vitro Fertilisation (IVF). IVF, traditionally understood as a method where an egg meets a sperm outside the body for fertilisation, is now poised to be supercharged by the capabilities of AI.

What Propelled the Creation of EMBRY?

The genesis of EMBRY is rooted in a challenge: can AI be harnessed to enhance the success rate of IVF procedures? Beginning with a pilot initiative to detect the quality of mature eggs, my associate, Mimoza Adji-Krsteva—a seasoned embryologist and our IVF procedure expert—and I meticulously trained our model using a diverse dataset of oocytes and embryos. Our ambitions grew, and soon we were decoding embryo development stages and extending our focus to sperm analytics. Through rigorous iteration and enhancements, we've now evolved EMBRY into a predictive tool that can gauge IVF outcomes with heightened precision.

Egg quality

EMBRY: At a Glance

EMBRY is an application that follows the whole IVF Process and predicts the outcome using AI concept. Embryologists write information about the patients and follow the whole cycle. Based on the information and patient history data we can calculate the outcome.

• Functionality: EMBRY streamlines the IVF process by predicting outcomes via AI-driven insights. As embryologists input patient details and oversee the entire cycle, EMBRY's advanced algorithms process this data to predict outcomes as percentages.

• Technology Backbone: Built on the sturdy foundation of Python and the Django framework, EMBRY is designed for seamless integration into hospital and clinic infrastructures.

• Data Privacy: We prioritize patient confidentiality. EMBRY is architected to only store pertinent results and numbers, eschewing personal identifiers. Each patient is tagged with a unique ID specific to the hospital or clinic, ensuring privacy while retaining the capability to recalibrate and reassess IVF attempts as needed.

Day 3 and Day 5 detection

Prediction is the outcome of the algorithm calculation, based on the information from the patients in percentages.

Beside the prediction part, we are opening another door for research. Hospitals, Clinics and Research centers can analyze patients data and try to find other problems for solving.

EMBRY Final result

Redefining Benefits with EMBRY

1. Increased Success Rates: By integrating AI, we amplify the accuracy and efficiency of embryologists in selecting viable embryos.

2. Resource Optimization: EMBRY aids in judiciously utilizing materials, preserving them for future IVF attempts, thereby saving costs.

3. Empowering Research & Education: EMBRY isn't just a tool for prediction; it's a gateway to new research avenues. Research institutions, hospitals, and clinics can tap into the data to uncover insights, address challenges, and further IVF education.

4. Cost-Effectiveness: By refining the IVF process, we aim to optimize the financial resources invested by both governments and patients in IVF endeavors.

EMBRY Dashboard

The fusion of IVF and AI in EMBRY is a testament to how technology can redefine medical frontiers. As we continue to enhance EMBRY, our vision remains clear: to make the miracle of life more accessible and predictable through the power of AI.