A team at UC Davis has developed a machine-learning model that can better predict which patients are at greater risk to develop hepatocellular carcinoma.
Artificial intelligence could potentially help extract liver tumor data at a much faster and accurate rate, setting possibilities for improved liver cancer care.
Medicaid and Medicare will soon require patient perspectives when assessing the success of certain surgeries, a practice UC Davis Health has been doing for years.
Tracey Woodruff, PhD, MPH, offers insights on what her research on microplastics has led her to change how she and her family eats and what cleaning products she uses.
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