Pyxis Diagnostics · raw details

AI-powered Cancer Diagnostics Platform for Predicting Immuno-oncology Drug Response · Jerusalem · Founded 2019

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AI-powered Cancer Diagnostics Platform for Predicting Immuno-oncology Drug Response

Pyxis Diagnostics is developing an AI-powered cancer diagnostics platform for predicting immuno-oncology (IO) drug response. The company's platform can predict IO drug response for many cancer types. It can also suggest alternative treatment routes in cases when the predicted drug response is low, improving the quality of life of oncological patients. Biological data collected from fresh tumor samples (using cell sorting, next-generation genetic sequencing, and proteomics), enables deep characterization of the cancer cell, different immune cells, and stromal cells. This profound analysis allows for the delineation of the cellular suppressive network (CSN) formed within the tumor microenvironment. Machine-learning algorithms can then be used for classification of responders based on differential CSN patterns. Pyxis Diagnostics aims to improve outcomes for patients and increase success rates of immunotherapies both in clinics and during the drug-development process.

Identity

NamePyxis Diagnostics
Slugpyxis-diagnostics
Type / kindstartup
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICA4NPGsbAIDA

Status

Statusinactive
Status reasonNon Active, Nov 2025 ceased to operate
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtJerusalem District
HQ cityJerusalem
HQ addressProfessor Racah St, Jerusalem, Israel

Web & social

LinkedInhttps://www.linkedin.com/company/69532570

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareDigital Medical Diagnostics
Technologies
Artificial IntelligenceMachine LearningBiologicals
Target customers
Healthcare & Life SciencesHealthcareProvidersLife SciencesPharmaceuticals
Business models
B2B
Tags
clinical-trialsbiomarkersdiagnosticsimmunotherapypharma-companiesoncologyhospitalsmachine-learningbioinformaticscell-therapydigital-healthcareartificial-intelligencecancerbiotechnology

Funding

Total raised$1.2M
Current stageSeed

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