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Machine Learning–Based Prediction of Hemoglobin Variability in Patients with Chronic Kidney Disease Receiving Erythropoiesis-Stimulating Agents: A Real-World Retrospective Study

Key takeaways

Doctors built a computer model to predict swings in hemoglobin, the part of blood that carries oxygen, in people with kidney disease who take drugs that push the body to make more red blood cells. They used old patient records rather than testing anything new on people. That means it shows a link between patient details and later blood swings, not proof of cause. Steadier hemoglobin would mean fewer dose changes, but the model was not tested in real care.

Who did this work

Pattanan Buranasaksathien · Wanjak Pongsittisak · Padoemwut Teerawongsakul · Solos Jaturapisanukul · Thananda Trakarnvanich · Sathit Kurathong

Source

Paper · OpenAlex, CKD works · 2026-08-29
https://openalex.org/W7204740699