Home / Alternatives to 부산대학교병원 Apps Like 부산대학교병원 for iPhone and iPad
by PUSAN NATIONAL UNIVERSITY HOSPITAL ★ 5.0 1 ratings Medical Free Data updated 2026-09-10
Ranked alternatives Showing 261–280 of 1,000 ranked alternatives.
Zikto Corp
★ 3.0 2 ratings Health & Fitness Free Data updated 2026-09-12
Kwangho Lee
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
REMEDI COMPANY Co.,Ltd
★ 5.0 1 ratings Medical Free Data updated 2026-09-27
ASSIST FIT Co., Ltd.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ubiplus
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-10-01
yunwoo kim
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Yuhan Kimberly co., Ltd.
★ 3.7 3 ratings Health & Fitness Free Data updated 2026-09-17
Digital Medic Co., Ltd.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
JEONGUK SHIN
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
U2BIO
★ 0.0 0 ratings Medical Free Data updated 2026-09-12
Jaebin Lee
★ 5.0 2 ratings Health & Fitness Free Data updated 2026-09-06
humake
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-22
Sun Healthcare International Corp.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-12
KEEMAN CHO
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
ATOMY CO.LTD
Predict health risks and recommend nutrients
Track health risks by analyzing medical records to predict disease likelihood and suggest health types. Recommend personalized nutrients based on health and medical history. Provide tailored lifestyle habits for healthier living.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Beplus Lab
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Yeonhak Chu
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
TLC Healthcare Inc.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Osstem Implant Co.,Ltd.
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Taein Kim
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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