A 9th grader built an explainable anemia screening tool, accepted at an IEEE conference
Anemia affects billions of people and is often caught late. Melissa built an explainable screening tool that estimates anemia severity from standard complete blood count features, and shows which blood measurements drive each prediction so clinicians can trust and check the result.
Medical AI & Hematology
First-author paper accepted at an IEEE conference
IEEE, 2026
A 9th grader at Clarksburg High School in Maryland interested in medicine and AI.
First author of an explainable anemia severity screening tool, accepted at an IEEE conference as a 9th grader.
First-author paper accepted at an IEEE conference in 9th grade
Anemia severity screening from routine blood counts
Explainable predictions clinicians can check
Svanika Naidu Doddavarapu, First-author paper accepted at an IEEE conference