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Kahun

Financiado

Kahun an interactive medical knowledge base for modeling medical knowledge an...

Kahun an interactive medical knowledge base for modeling medical knowledge and managing diagnostic processes as well medical knowledge related to COVID 19. Medical errors are recognized as a world-wide problem - this includes mistakes in performing Differential Diagnosis resulting in sending patients to unnecessary tests, missing vital tests, and additional mistakes along the patient... ver más

31/07/2022

Kahun

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

KAHUN MEDICAL LTD No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-07-31

EIC-SMEInst-2018-2020: SME instrument

I+D

Cerrada hace 7 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

Kahun

2.38M€ | Lider

PERRAMON Y BADIA

321.30K€ | Participante

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Duración del proyecto: 24 meses Fecha Inicio: 2020-07-28
Fecha Fin: 2022-07-31

Líder del proyecto

KAHUN MEDICAL LTD No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Medical errors are recognized as a world-wide problem - this includes mistakes in performing Differential Diagnosis resulting in sending patients to unnecessary tests, missing vital tests, and additional mistakes along the patient management process. In E.U countries alone, medical errors amount to 750,000 Million errors a year, resulting 3.2 million more hospitalizations, 260,000 permanent disabilities and 95,000 deaths each year. The product is a smartphone application (and a web-based version), designed for doctors and medical students. Inspired by crowd-based platforms, its database is regularly updated using a dedicated editor for inputting medical definitions, concepts, and references from the professional medical literature, and for annotating the knowledge and defining relations between elements. So far, Kahun has already established an exclusive database for Internal Medicine's ontology, comprising of more than 50 thousand elements and relations. Kahun's innovative Bayesian algorithms, identify probabilistic relations between the elements in the database - within the tens of thousands of elements scattered across many layers of depth, it creates a massive knowledge graph of probabilistic relationships within the medical ontology. By now, Kahun generates more than 3 Million insights for relations between medical concepts. Kahun allows users to enter variables such as symptoms and lab test results, and presents them a Differential Diagnosis, along with a clear Path to Evidence – track leading from variables to possible result, presented in a graphical correlations map between all elements and with specific references from the literature, and it provides a series of suggestions for patient management such as which lab tests or imaging are the best next step. The company plans to expand the knowledge graph into additional medical fields and provide even greater value. The company expects to reach total revenues of €207 Million by the end of 2026.

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