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[HTML][HTML] Artificial intelligence (AI) in rare diseases: is the future brighter?
The amount of data collected and managed in (bio) medicine is ever-increasing. Thus, there
is a need to rapidly and efficiently collect, analyze, and characterize all this information …
is a need to rapidly and efficiently collect, analyze, and characterize all this information …
Electronic health records for the diagnosis of rare diseases
With the emergence of electronic health records, the reuse of clinical data offers new
perspectives for the diagnosis and management of patients with rare diseases. However …
perspectives for the diagnosis and management of patients with rare diseases. However …
[PDF][PDF] Connecting systems, data, and people: A multidisciplinary research roadmap for chronic disease management.
Chronic diseases (such as diabetes, asthma, heart disease, lung disease, cancer,
depression, stroke, hypertension, and Alzheimer's) are responsible for seven out of ten …
depression, stroke, hypertension, and Alzheimer's) are responsible for seven out of ten …
Diagnosis of genetic diseases in seriously ill children by rapid whole-genome sequencing and automated phenoty** and interpretation
By informing timely targeted treatments, rapid whole-genome sequencing can improve the
outcomes of seriously ill children with genetic diseases, particularly infants in neonatal and …
outcomes of seriously ill children with genetic diseases, particularly infants in neonatal and …
Integrative pan-cancer genomic and transcriptomic analyses of refractory metastatic cancer
Metastatic relapse after treatment is the leading cause of cancer mortality, and known
resistance mechanisms are missing for most treatments administered to patients. To bridge …
resistance mechanisms are missing for most treatments administered to patients. To bridge …
The prediction of hospital length of stay using unstructured data
Objective This study aimed to assess the performance improvement for machine learning-
based hospital length of stay (LOS) predictions when clinical signs written in text are …
based hospital length of stay (LOS) predictions when clinical signs written in text are …
French administrative health care database (SNDS): the value of its enrichment
LM Scailteux, C Droitcourt, F Balusson, E Nowak… - Therapies, 2019 - Elsevier
SNIIRAM/SNDS, the French administrative health care database, covers around 99% of the
population. Its main limitation is the absence of clinical information and biological results …
population. Its main limitation is the absence of clinical information and biological results …
[HTML][HTML] Trends and opportunities in computable clinical phenoty**: a sco** review
Identifying patient cohorts meeting the criteria of specific phenotypes is essential in
biomedicine and particularly timely in precision medicine. Many research groups deliver …
biomedicine and particularly timely in precision medicine. Many research groups deliver …
[HTML][HTML] Hepatobiliary complications in children with sickle cell disease: a retrospective review of medical records from 616 patients
Hepatobiliary complications in children with sickle cell disease (SCD) are rarely reported but
can be life-threatening. We retrospectively assessed their prevalence in a cohort of 616 …
can be life-threatening. We retrospectively assessed their prevalence in a cohort of 616 …
An automatic facial landmarking for children with rare diseases
Q Hennocq, T Bongibault, M Bizière… - American Journal of …, 2023 - Wiley Online Library
Two to three thousand syndromes modify facial features: their screening requires the eye of
an expert in dysmorphology. A widely used tool in shape characterization is geometric …
an expert in dysmorphology. A widely used tool in shape characterization is geometric …