What Are The Challenges Of Ai In Drug Development?
<p>AI models need high-quality data to learn. However, drug data could be more extensive and consistent. Some diseases have few patient cases. That makes it hard to get insights. Other times, data is collected differently across hospitals and trials. So, it takes a lot of work to combine into excellent datasets.</p>
<p>AI can help understand data. But it can only work magic if data is present and neat. Companies, hospitals, and drug firms need to coordinate early. That’s key to building datasets AI can use.</p>
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