Health brief
AI Diagnostics and Care Disparities
Israel's healthcare landscape balances cutting-edge artificial intelligence with deep domestic inequalities.
Health
The Health Ministry's data reveals a highly unequal diagnostic system—where your insurer and zip code dictate how quickly cancer or brain damage is caught.
BackgroundIsrael operates a universal healthcare system where citizens receive coverage through one of four public health funds (kupot cholim). However, unequal distribution of diagnostic machinery and medical specialists frequently creates severe bottlenecks in peripheral regions.
- In 2025, the average wait time for an MRI scan was 55.1 days, with a quarter of patients waiting over 80 days for diagnostic results.
- Clalit recorded the longest average wait times at 63.7 days, while Meuhedet recorded the shortest at 35.5 days, highlighting extreme insurer-based differences.
- The findings have sparked public outrage and calls for the Ministry of Finance to fund additional scanner licenses, potentially easing bottlenecked peripheral hospitals.
Health
Omnix’s €8M grant scales a novel physical mechanism to destroy superbugs—bypassing traditional chemical pathways to neutralize drug-resistant pathogens.
BackgroundAntimicrobial resistance is a critical global health threat, with drug-resistant bacteria rendering standard antibiotics obsolete. Carbapenem-resistant Acinetobacter baumannii is a highly lethal hospital pathogen associated with patient mortality rates up to 60%.
- OMN6 utilizes insect-derived host defense peptides designed to physically disrupt and destroy bacterial cell membranes, bypassing traditional chemical pathways.
- The EU’s Horizon Europe program will fund a multi-center consortium of clinical and academic partners across Europe, accelerating human trial preparation.
- By physically destroying cell walls rather than interrupting chemical pathways, the drug prevents bacteria from developing genetic resistance, offering a long-term solution.
Health
Technion's DeepHHF model turns routine home ECGs into five-year early warning systems—enabling preventative medical intervention before heart damage occurs.
BackgroundHeart failure is a progressive condition where the heart struggles to pump blood effectively, often diagnosed only after irreversible muscle damage occurs. Standard clinical risk scores rely on subjective evaluations and struggle to identify subtle electrical anomalies.
- The model was trained on 70,000 Holter ECG examinations collected in partnership with Leumit Health Services, leveraging extensive local clinical data.
- DeepHHF identifies subtle progressive electrical abnormalities invisible to the human eye, predicting heart failure up to five years in advance.
- High-risk patients flagged by the model experienced a two-fold increase in hospitalization or death during clinical follow-ups, highlighting its predictive power.
Health
Pulsenmore's regulatory sandbox entry paves the way for automated home ultrasounds—permanently shifting routine prenatal monitoring out of clinics and into living rooms.
BackgroundRegular fetal ultrasound scans are essential for monitoring pregnancy health, historically requiring frequent in-clinic visits with trained sonographers. Pulsenmore manufactures a handheld, smartphone-connected home ultrasound device utilized under clinical supervision.
- The company will collaborate with Beilinson Hospital to validate algorithms that detect key fetal clinical parameters automatically, reducing clinical workloads.
- The sandbox program is co-administered by the Israel Innovation Authority and the Ministry of Health, aiming to accelerate regulatory approvals for remote diagnostics.
- Automating initial scans aims to reduce clinical workloads, allowing physicians to focus exclusively on high-risk maternal anomalies and specialized care.
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