📊 Collecting data from diverse sources is crucial for designing robust datasets. Starting with high-quality clinical trial data, we ensure reliability and accuracy. 💯🔬

🤖 Biases in datasets can have significant implications on machine learning outcomes, not only in healthcare but across various domains. Addressing biases is a vital step in data set design. 🚫⚖️

🏥 By combining clinical trial data with information from broader populations, we expand our understanding and enhance the representativeness of our findings. 🌐📈

🔗 To delve deeper into this topic, check out the full episode by clicking the link here https://bit.ly/43oY0FP or find it in the description above. 🎧

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