Researchers have developed a new noninvasive method for diagnosing fatty liver disease, utilizing advanced imaging and machine learning algorithms to detect and quantify liver fat accurately. This technique offers a safer and more accessible alternative to liver biopsies, which are invasive and carry risks. The new method could significantly improve early diagnosis and management of fatty liver disease, benefiting patient outcomes and reducing healthcare costs.
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