0000000000922100

AUTHOR

Nir Peled

showing 3 related works from this author

The EU-funded I3LUNG Project:Integrative Science, Intelligent Data Platform for Individualized LUNG Cancer Care With Immunotherapy

2023

Although immunotherapy (IO) has changed the paradigm for the treatment of patients with advanced non-small cell lung cancers (aNSCLC), only around 30% to 50% of treated patients experience a long-term benefit from IO. Furthermore, the identification of the 30 to 50% of patients who respond remains a major challenge, as programmed Death-Ligand 1 (PD-L1) is currently the only biomarker used to predict the outcome of IO in NSCLC patients despite its limited efficacy. Considering the dynamic complexity of the immune system-tumor microenvironment (TME) and its interaction with the host's and patient's behavior, it is unlikely that a single biomarker will accurately predict a patient's outcomes. …

Pulmonary and Respiratory MedicineCancer ResearchArtificial intelligenceOncologyNon-small cell lung cancerPredictive biomarkersMachine learningPersonalized medicine
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Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules.

2016

We report on an artificially intelligent nanoarray based on molecularly modified gold nanoparticles and a random network of single-walled carbon nanotubes for noninvasive diagnosis and classification of a number of diseases from exhaled breath. The performance of this artificially intelligent nanoarray was clinically assessed on breath samples collected from 1404 subjects having one of 17 different disease conditions included in the study or having no evidence of any disease (healthy controls). Blind experiments showed that 86% accuracy could be achieved with the artificially intelligent nanoarray, allowing both detection and discrimination between the different disease conditions examined.…

AdultMalevolatile organic compounddiagnosisGeneral Physics and AstronomyPattern analysisMetal NanoparticlesNanotechnology02 engineering and technologyBiosensing Techniques01 natural sciencesArticlePattern Recognition AutomatedArtificial IntelligencesensornoninvasiveMedicineHumansGeneral Materials Sciencecarbon nanotubeVolatile Organic Compoundsdiseasebreathbusiness.industryNanotubes Carbonnanoparticle010401 analytical chemistryGeneral EngineeringPattern recognitionMiddle Aged021001 nanoscience & nanotechnology0104 chemical sciences3. Good healthBreath TestsCase-Control StudiesFemaleArtificial intelligenceGold0210 nano-technologybusinessACS nano
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Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath

2016

Two of the biggest challenges in medicine today are the need to detect diseases in a noninvasive manner and to differentiate between patients using a single diagnostic tool. The current study targets these two challenges by developing a molecularly modified silicon nanowire field effect transistor (SiNW FET) and showing its use in the detection and classification of many disease breathprints (lung cancer, gastric cancer, asthma, and chronic obstructive pulmonary disease). The fabricated SiNW FETs are characterized and optimized based on a training set that correlate their sensitivity and selectivity toward volatile organic compounds (VOCs) linked with the various disease breathprints. The b…

Lung DiseasesSiliconVolatile Organic CompoundsMaterials scienceTraining setNanowiresGeneral EngineeringGeneral Physics and AstronomyPulmonary diseaseNanotechnology02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesAsthma3. Good health0104 chemical sciencesBreath TestsOthersHumansGeneral Materials Science0210 nano-technologySilicon nanowiresBiomedical engineering
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