AliBERT achieves it first successful application in oncology!
A successful proof-of-concept for AliBERT, the first French-language model specialized in the biomedical field. In partnership with a major French Cancer Fighting Institute, Quinten’s datalab team has developed a first concrete use case : the extraction of concepts and structured information from medical reports in oncology. A Natural Language Processing [NLP] task which, until now, has been highly complex, given the technical nature, diversity and specialization of these medical reports.
A promising algorithm for early diagnosis and intervention opportunities in Rare Diseases
A promising algorithm for early diagnosis of Acid Sphingomyelinase Deficiency (ASMD) in patients with unexplained Interstitial Lung Disease (ILD). Leveraging Electronic Health Records (EHR) and machine learning, a ASMD diagnostic algorithm, was developed achieving remarkable results. Indeed, it distinguished ASMD patients from a general population with a sensitivity of 80% and a specificity of over […]
