Home / Alternatives to Explain-TB Apps Like Explain-TB for iPhone and iPad
by Deutsches Zentralkomitee zur Bekampfung der Tuberkulose e.V. ★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Ranked alternatives Showing 781–800 of 1,000 ranked alternatives.
Orthosnap Corp
★ 0.0 0 ratings Business Free Data updated 2026-09-06
THANIGAIVELAN MUTHU
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Adam White
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Skerm West
★ 0.0 0 ratings Education Free Data updated 2026-09-13
Hemora
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
RealTimeCase, LLC
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
CRITERION TECH PRIVATE LIMITED
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Picard Folefack
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Medical EGuides
Prescribing guidelines for hospital staff.
The app provides evidence-based empiric treatment recommendations for adult and pediatric infections. It includes dosing calculators, renal dosing information, and antibiotic prophylaxis guidelines for surgical procedures.
★ 0.0 0 ratings Medical Free Data updated 2026-10-15
Abhineet Vashisth
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Yukihide Miyosawa
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Qr8 Health Inc.
★ 0.0 0 ratings Medical Free Data updated 2026-10-30
Bausch & Lomb, Inc
★ 0.0 0 ratings Medical Free Data updated 2026-10-01
Satish Deopujari
★ 0.0 0 ratings Medical Free Data updated 2026-09-10
NakedHealthai LLP
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Sambuq.com Inc
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Maven LifeCare Technologies Private Limited
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Green Square Pharmacy Private Limited
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Kids Clinic India Private Ltd
★ 0.0 0 ratings Medical Free Data updated 2026-09-19
WOBILO AFRICA LIMITED
★ 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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