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Showing 1-10 of 33 trials for Rare-disorders
Recruiting

FLOWER: Following Longitudinal Outcomes With Epidemiology for Rare Diseases

California · Los Altos, CA

FLOWER is a completely virtual, nationwide, real-world observational study to collect, annotate, standardize, and report clinical data for rare diseases. Patients participate in the study by electronic consent (eConsent) and sign a medical records release to permit data collection. Medical records are accessed from institutions directly via eFax or paper fax, online from patient electronic medical record (EMR) portals, direct from DNA/RNA sequencing and molecular profiling vendors, and via electronic health information exchanges. Patients and their treating physicians may also optionally provide medical records. Medical records are received in or converted to electronic/digitized formats (CCDA, FHIR, PDF), sorted by medical record type (clinic visit, in-patient hospital, out-patient clinic, infusion and out-patient pharmacies, etc.) and made machine-readable to support data annotation, full text searches, and natural language processing (NLP) algorithms to further facilitate feature identification.

Recruiting

Genomic Uniformed-Screening Against Rare Disease In All Newborns

New York, New York

The goal of this study is to learn how genomic sequencing technology can be used to effectively expand the conditions screened on newborn screening. Newborn screening ensures equity and allows all babies to have the same chance at the healthiest life. Families will be invited to have their newborn baby screened for additional conditions beyond what all babies are screened for as part of the newborn screening public health program. Families can choose to be part of the study or choose not to be part of the study and just have the routine newborn screening test. Families will also be able to choose to learn about their baby's risk for conditions that have effective treatments available but are not on the routine newborn screening panel or also learn about conditions for which there is not currently FDA approved medications but for which medications are under development or for which early intervention services or treatment of seizures may improve the child's outcome. Families will be invited to the study shortly after the baby is born and will learn the decision not to participate, and we will interview a subset of parents who agree to be interviewed. Newborns who screen positive will be referred to appropriate providers for care and will be followed through review of electronic medical records and parental follow up via phone, text, postal mail or email.

Recruiting

Universal Rare Gene Study: A Registry and Natural History Study of Retinal Dystrophies Associated With Rare Disease-Causing Genetic Variants

Arkansas · Little Rock, AR

This is an international, multicenter study with two components: Registry * A standardized genetic screening and a prospective, standardized, cross-sectional clinical data collection * Enrollment is open to all genes on the RD Rare Gene List Natural History Study * A prospective, standardized, longitudinal Natural History Study * Enrollment opens gene-by-gene, based on funding and within-gene Registry enrollment The study objectives are as follows. Registry Objectives 1. Genotype Characterization 2. Cross-Sectional Phenotype Characterization (within gene) 3. Establish a Link to My Retina Tracker Registry (MRTR) 4. Ancillary Exploratory Studies - Pooling of Genes Natural History Study Objectives 1. Natural History (within gene) 2. Structure-Function Relationship (within gene) 3. Risk Factors for Progression (within gene) 4. Ancillary Exploratory Studies - Pooling of Genes

Recruiting

Artificial Intelligence Guided Echocardiographic Screening of Rare Diseases (EchoNet-Screening)

California · Los Angeles, CA

Despite rapidly advancing developments in targeted therapeutics and genetic sequencing, persistent limits in the accuracy and throughput of clinical phenotyping has led to a widening gap between the potential and the actual benefits realized by precision medicine. Recent advances in machine learning and image processing techniques have shown that machine learning models can identify features unrecognized by human experts and more precisely/accurately assess common measurements made in clinical practice. The investigators have developed an algorithm, termed EchoNet-LVH, to identify cardiac hypertrophy and identify patients who would benefit from additional screening for cardiac amyloidosis and will prospectively evaluate its accuracy in identifying patients whom would benefit from additional screening for cardiac amyloidosis.

Recruiting

Genetic Study to Determine the Cause of Birth Defects in Newborns in Texas

Texas · Houston, TX

The purpose of this study is to provide advanced genetic testing and virtual consultations for seriously ill newborns in hospitals in Texas with fewer resources, especially along the Texas-Mexico border. The researchers also want to know how well the virtual consultation tool, called Consultagene, works in these hospitals by gathering feedback from healthcare providers. Researchers will provide rapid whole genome sequencing (WGS) to 200 infants over a period of 5 years. Data will be collected via Consultagene, surveys, and qualitative interviews.

Recruiting

Baker Gordon Syndrome Natural History Study

Missouri · Columbia, MO

The goal of this study is to conduct a prospective, longitudinal assessment of the natural clinical progression of children and adults with Synaptotagmin1-Associated Neurodevelopmental Disorder also known as Baker Gordon Syndrome (BAGOS). This will be performed by acquiring baseline measurements and developing effective outcome measures and diagnostic tools for the disorder, to prepare the healthcare system for future clinical trials.

Recruiting

A Multi-Site Leukopak Repository Providing Annotated Biospecimens for Approved Investigator-Directed Biomedical Research Initiatives

Massachusetts · Waltham, MA

To collect, preserve, and distribute annotated leukopak biospecimens and associated medical data to institutionally approved, investigator-directed biomedical research to discover and develop new treatments, diagnostics, and preventative methods for specific and complex conditions. This protocol will be utilized to collect research grade products that are not meant for transfusion.

Recruiting

UW Undiagnosed Genetic Diseases Program

Wisconsin · Madison, WI

The primary purpose of this study is to discover new disease genes for rare Mendelian disorders and its secondary purpose include diagnosing people with rare genetic disorders that have not been previously diagnosed through conventional clinical means, learning more about the pathobiology of genetic disorders, and developing novel diagnostic technologies and analytics. 500 participants with undiagnosed and suspected genetic disorders will be recruited.

Recruiting

Ascending Doses of Crofelemer Powder for Oral Solution in Pediatric Microvillus Inclusion Disease (MVID)

Massachusetts · Boston, MA

a 32-week study that will evaluate the safety, tolerability and preliminary efficacy of multiple ascending doses of crofelemer, compared to placebo, using a randomized cross-over design within each dose level, when administered to participants with MVID receiving parenteral support (PS, defined as TPN with or without supplementary IV fluid requirements). Blinded study drug will be administered as a novel crofelemer formulation, Crofelemer Powder for Oral Solution, or a matching placebo powder formulation for oral solution. Assigned study drug will be reconstituted and administered orally (or enterally) three times daily (TID) as a concentrated liquid formulation in each of the three dose levels

Recruiting

Epilepsy Learning Healthcare System (ELHS)

Arizona · Phoenix, AZ

The Epilepsy Learning Health System (ELHS) is a quality improvement and research network to improve outcomes for people with epilepsy. The ELHS is designed as a model of value-based chronic care for epilepsy as envisioned by the National Academies of Medicine Committee in their landmark reports "The Learning Health System" and "Epilepsy Across the Spectrum: Promoting Health and Understanding". The ELHS network is a collaboration among clinicians, patients and researchers that promotes the use of data for multiple purposes including one-on-one clinical care, population management, quality improvement and research. The ELHS Registry includes data on children and adults with epilepsy collected during the process of standard epilepsy care. These data are used to create population health reports and to track changes in outcomes over time. ELHS teams use quality improvement methods, such as Plan-Do-Study-Act (PDSA) cycles, to continuously learn how to improve care.