PerSimiO · raw details

Predicting Fracture Risk for Patients with Cancer and Osteoporosis · Be'er Sheva · Founded 2015

active Pre-Funding ← back to profile

Highlights

IIA supported (ever)1 patentProfile claimed by owner

About

Predicting Fracture Risk for Patients with Cancer and Osteoporosis

PerSimiO offers a superior prediction technology based on proprietary simulation of the response of human bones to load. The technology has been validated by ex-vivo experiments on a large cohort of human femurs, using routine CT scans. PerSimiO's patented technology is a fully automated web-service that may be integrated within a hospital PACS or accessed from a web-browser as a locally hosted web-application.

Although the team has applied the technology primarily to femur-related conditions, it plans to expand the list of Simfini applications to assess bone strength in the humerus, vertebrae, and other bones of the body. The company's products target the diagnosis and treatment of a variety of diseases including osteoporosis, metastatic tumors, and injuries that weaken the bone. The products are designed to optimize treatment and improve outcomes at a reduced cost.

Identity

NamePerSimiO
Slugpersimio
Type / kindstartup
Crunchbase IDpersimio
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAgN79hYEIDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtSouth District
HQ cityBe'er Sheva
HQ addressHaEnergia Street 77, Be'er Sheva, Israel

Web & social

Websitehttps://www.persimio.com
Careers pagehttps://www.persimio.com/careers
YouTubehttps://www.youtube.com/channel/UCv5X2jDm9uj18AMmRH1WtmQ

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareMedical Decision Support
Technologies
Platforms & InterfacesSoftwareArtificial IntelligenceMachine Learning
Target customers
Healthcare & Life SciencesHealthcareProviders
Business models
B2B
Tags
orthopedicssimulationdigital-healthcaresaasbonesoftware-applicationsdata-analyticshealthcare-providersdoctorsmachine-learninghospitalspredictive-analyticsartificial-intelligencediabetesimagingdecision-supporttreatmentsrisk-assesmentsct-scan

Funding

Total raised$955K
Current stagePre-Funding

Raw source document

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