Results 61 to 70 of about 11,812,623 (407)
Translational and Regulatory Challenges for Exon Skipping Therapies [PDF]
Several translational challenges are currently impeding the therapeutic development of antisense-mediated exon skipping approaches for rare diseases. Some of these are inherent to developing therapies for rare diseases, such as small patient numbers and ...
Aartsma-Rus, A+14 more
core +2 more sources
Tracking sex-dependent differences in a mouse model of CLN6-Batten disease
Background CLN6-Batten disease is a rare neurodevelopmental disorder characterized pathologically by the accumulation of lysosomal storage material, glial activation and neurodegeneration, and phenotypically by loss of vision, motor coordination, and ...
McKayla J. Poppens+7 more
doaj +1 more source
Background One objective of the Belgian Rare Diseases plan is to improve patients’ management using phenotypic tests and, more specifically, the access to those tests by identifying the biochemical analyses used for rare diseases, developing new ...
Nathalie M. Vandevelde+20 more
doaj +1 more source
Disease Knowledge Transfer across Neurodegenerative Diseases [PDF]
We introduce Disease Knowledge Transfer (DKT), a novel technique for transferring biomarker information between related neurodegenerative diseases. DKT infers robust multimodal biomarker trajectories in rare neurodegenerative diseases even when only ...
Alexander, Daniel C.+10 more
core +3 more sources
Purpose The present study evaluated how heart failure (HF) negatively impacts health-related quality of life (HRQoL) in hypertrophic cardiomyopathy (HCM) patients and explored the major clinical determinants associated with HRQoL impairment in this ...
Razvan Capota+6 more
doaj +1 more source
Pharmaceutical compounding of orphan active ingredients in Belgium : how community and hospital pharmacists can address the needs of patients with rare diseases [PDF]
Background: Pharmaceutical compounding of orphan active ingredients can offer cost-effective treatment to patients when no other drug product is available for a rare disease or during periods of drug product shortages.
Boussery, Koen+7 more
core +2 more sources
Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts [PDF]
Although rare diseases are characterized by low prevalence, approximately 300 million people are affected by a rare disease. The early and accurate diagnosis of these conditions is a major challenge for general practitioners, who do not have enough knowledge to identify them.
arxiv
Small Data Challenges of Studying Rare Diseases.
The age of big data is in full swing, with researchers in both clinical medicine and public health seeking to take advantage of the increasing availability of massive amounts of electronic and administrative health data.
A. Mitani, S. Haneuse
semanticscholar +1 more source
Background Treatments are often unavailable for rare disease patients, especially in low-and-middle-income countries. Reasons for this include lack of financial support for therapies and onerous regulatory requirements for approval of drugs.
W. Gahl+5 more
semanticscholar +1 more source
Assessing rare diseases prevalence using literature quantification
Introduction Estimating the prevalence of diseases is crucial for the organization of healthcare. The amount of literature on a rare pathology could help differentiate between rare and very rare diseases.
J. Shourick, M. Wack, A. Jannot
semanticscholar +1 more source