Home / Alternatives to Спектра Apps Like Спектра for iPhone and iPad
by NOVOE RUSSKOE KACHESTVO (NRK), OOO ★ 0.0 0 ratings Medical Free Data updated 2026-09-15
Ranked alternatives Showing 581–600 of 1,000 ranked alternatives.
NUMEDI, OOO
★ 0.0 0 ratings Medical Free Data updated 2026-09-17
FITBEIS, OOO
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Klinicheskaya Bolnitsa N1, Fgbu
★ 0.0 0 ratings Medical Free Data updated 2026-09-10
2PCS COMPANY LIMITED
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
MERKHAT ZHUMAKHANOV
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Dmitriy Konyshev
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-11-07
FITBEIS, OOO
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Exord Soft MCHJ
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dmitriy Konyshev
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
FITNES KIT, OOO
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
FITBEIS, OOO
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
FITBEIS, OOO
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Irina Zalevskaya
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
BABY UP, MChJ
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
DOKDETI KHOLDING, OOO
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
LOGOMED DEVELOPMENT, OOO
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
2GROUP, TOO
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Igor Vikhrov
Enter data, predict kidney risk
Enter health parameters to assess risk of kidney disease using machine learning. Input data such as blood pressure, urine protein, and creatinine levels. Receive risk prediction and general recommendations.
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
OBLACHNYE INTERNET SERVISY, OOO
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
OBLACHNYE INTERNET SERVISY, OOO
★ 0.0 0 ratings Medical 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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