Apps Like 肾病中心 for iPhone and iPad
肾病中心 screenshots
Ranked alternatives
Showing 221–240 of 1,000 ranked alternatives.


Doc4Me - IBD Doctor Search
North American Society for Pediatric Gastroenterology Hepatology and Nutrition


PillPaw: Pet Medicine Tracker
TE Capital Group LLC
Track medication and dosages
Track medication schedules for pets with chronic conditions. Set reminders for doses and refill dates. Log administered medications and note any side effects. Share updates with veterinarians and caregivers.




CardioConnect Health Assistant
CardioDiagnostics
Monitor heart data in real time
Connect Bluetooth-enabled monitors to track heart activity. View real-time data on an intuitive dashboard. Share data with physicians for near real-time review. Communicate via in- chat or video call. Schedule appointments directly from the .

StableDoc
StableDoc Healthcare LLC
Connect with doctors and manage health records
Schedule virtual consultations with verified healthcare providers. Access and view lab reports and medical history. Share health data securely with professionals. Manage appointments and track treatment progress.




Ward Round
Adrian Raudaschl
Solve medical mysteries against the clock.
The app presents a medical learning experience where users solve clinical mysteries. It features a levelling-up system to track progress and a practice round with randomly chosen cases.


Referral–Fresenius Kidney Care
Fresenius Medical Care Holdings Inc
Refer patients to Fresenius Kidney Care
The app is a mobile application for care providers to refer patients to Fresenius Kidney Care services. It shows nearby Fresenius facilities for quick referral and allows referrals for classes or dialysis services.


Gene Wiki
Omelette Inc
Search genes, view details, track conditions
Access information with search and alphabetical listings. View chromosome details and health condition links. Explore mitochondrial DNA data and genetics tutorials. Share feedback via email or social media.



How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.