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Healthcare AI services

I am Diego Muñoz Casinos, a healthcare AI consultant in Valencia. I work in four areas: EU AI Act compliance, bioinformatics pipeline validation, clinical data interoperability and EHDS, and adversarial AI evaluation.

ServiceWho it is forMain deliverable
EU AI Act complianceVendors of clinical decision support, diagnostic or risk-scoring softwareRisk classification of each AI system (Annex I and Annex III pathways)
Bioinformatics pipeline validationGenomics, transcriptomics and epigenomics teams moving a pipeline to productionValidation specification with acceptance criteria
Clinical data interoperability and EHDSClinics and healthcare providers that need systems to exchange clinical dataAssessment of current data flows and interoperability gaps
Adversarial AI evaluationAI teams that need to know where their models break in scientific domainsEvaluation task design with clear success criteria

EU AI Act Compliance for Healthcare Software

I help healthcare software teams work out whether their AI is high-risk under the EU AI Act and turn the requirements (risk management, data governance, technical documentation, logging, transparency, human oversight, accuracy and cybersecurity) into engineering tasks. After the Digital Omnibus, Annex III systems apply from 2 December 2027 and medical-device AI from 2 August 2028.

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Bioinformatics Pipeline Validation (ICC, Cohen's Kappa, Spearman)

I validate bioinformatics pipelines by comparing their outputs with reference results using reliability metrics rather than accuracy alone: ICC for continuous measurements, Cohen's Kappa for categorical agreement and Spearman for rank correlation. Acceptance thresholds are written into a specification before building, and the whole validation is documented so it can be reproduced and reviewed.

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Clinical Data Interoperability and the European Health Data Space (EHDS)

I work with clinical data and clinical data interoperability, and with the European Health Data Space (EHDS), the EU framework for the primary and secondary use of electronic health data. I have deployed clinical management software with interoperability in a pilot clinic, where it is running and the clinical staff are delighted with it.

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Adversarial AI Evaluation of Frontier Language Models

Adversarial AI evaluation stress-tests models with hard, purpose-built tasks to find where they fail. As an independent contractor for Mercor, I evaluate frontier language models on scientific reasoning in bioinformatics: I design experimental tasks and synthetic clinical datasets, analyse failure modes and build reproducible multi-agent harnesses and execution environments.

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