Innovating Works

SAVANA

Financiado
Massive reutilization of Electronic Health Records EHRs through AI to enhance...
Massive reutilization of Electronic Health Records EHRs through AI to enhance clinical research and precision medicine In the last twenty years, the average return on R&D expenditure in the pharma industry has dropped from almost 18% to 3.7%. Moreover, annual funding for biomedical research has more than doubled while new drugs approvals have decl... In the last twenty years, the average return on R&D expenditure in the pharma industry has dropped from almost 18% to 3.7%. Moreover, annual funding for biomedical research has more than doubled while new drugs approvals have declined by one third. There is a wide consensus that the main cause of this problem is the exhaustion of a model intended to develop ‘broad indications’ and the need for a new ‘precision medicine’ model. We simply do not know enough about the underlying disease mechanisms involved, and more research is required to develop better disease classifications, which will enable a more targeted development approach for drugs and therapies. Electronic Health Records (EHRs) has been used for more than ten years in most developed countries, and they gather now exhaustive clinical information of millions of patients. Leveraging EHRs could accelerate clinical research, and improve healthcare quality. However, in order to uncover unknown disease models from EHRs, precision medicine requires massive research studies on thousands of patients (often in several countries). Currently there is no tool capable of: 1) automating the extraction of data from EHRs, and also, solving the privacy concerns raised by EHRs. SAVANA RESEARCH uses Natural Language Processing to extract data from massive amounts of EHRs’ clinical narratives. It has the following advantages intended to make a leap in clinical research efficiency: 1) It uses only de-identified clinical records and ensures state of the art technologies to protect data privacy; 2) It is capable of decoding ten times more EHRs in half of the time; 3) It is capable of identifying 100 times more variables from EHRs; 4) And it costs 40% less. The application of NLP to healthcare is a fast-growing market that is expected to reach 2.65 billion by 2021, by growing at a CAGR of 20.8%. SAVANA RESEARCH’s target markets are primary Europe and North America, which together comprises 75% of all clinical trials worldwide. ver más
31/07/2022
MEDSAVANA
2M€
Duración del proyecto: 45 meses Fecha Inicio: 2018-10-25
Fecha Fin: 2022-07-31

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2022-07-31
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
EIC-SMEInst-2018-2020: SME instrument
Cerrada hace 6 años
Presupuesto El presupuesto total del proyecto asciende a 2M€
Líder del proyecto
MEDSAVANA El ejercicio o explotación de las actividades de investigación, desarrollo e innovación de tecnológica informática, así como su diseño, fabr...
Perfil tecnológico TRL 4-5 2M