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  1. Home
  2. Signal Canvas
  3. A feature-stable and explainable machine learning framework
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A feature-stable and explainable machine learning framework for trustworthy decision-making under incomplete clinical data

Fresh1d ago
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Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 49

Proof: pending

Distribution: unknown

Source paper: A feature-stable and explainable machine learning framework for trustworthy decision-making under incomplete clinical data

PDF: https://arxiv.org/pdf/2602.17364v1

First buyer signal: unknown

Distribution channel: unknown

Starting…

Dimensions overall score 7.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

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Founder DNA

Justyna Andrys-Olek
Sano Centre for Computational Personalised Medicine, Krakow, Poland
Papers 1
Founder signal: 50/100
Research
Paulina Tworek
Sano Centre for Computational Personalised Medicine, Krakow, Poland
Papers 1
Founder signal: 50/100
Research
Luca Gherardini
Sano Centre for Computational Personalised Medicine, Krakow, Poland
Papers 1
Founder signal: 50/100
Research
Mark W. Ruddock
Randox Laboratories Ltd., Co., Antrim, United Kingdom
Papers 1
Founder signal: 50/100
Research
Mary Jo Kurt
Coimbra University, Multidisciplinary Institute of Ageing, MIA - Portugal, Coimbra, Portugal
Papers 1
Founder signal: 50/100
Research
Peter Fitzgerald
Randox Laboratories Ltd., Co., Antrim, United Kingdom
Papers 1
Founder signal: 50/100
Research
Jose Sousa
Sano Centre for Computational Personalised Medicine, Krakow, Poland; Randox Laboratories Ltd., Co., Antrim, United Kingdom
Papers 1
Founder signal: 50/100
Research

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Talent Scout

J

Justyna Andrys-Olek

Sano Centre for Computational Personalised Medicine, Krakow, Poland

P

Paulina Tworek

Sano Centre for Computational Personalised Medicine, Krakow, Poland

L

Luca Gherardini

Sano Centre for Computational Personalised Medicine, Krakow, Poland

M

Mark W. Ruddock

Randox Laboratories Ltd., Co., Antrim, United Kingdom

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